# NVIDIA RTX Kit 

NVIDIA RTX™ Kit is a suite of neural rendering technologies to ray trace games with AI, render scenes with immense geometry, and create game characters with photo-realistic visuals.

[Get Started  
](#section-getting-started "Github Repo")[Notify Me for Future Releases  
](/rtx-kit/notify-me "Github Repo")[Download Zorah Sample  
](https://dlss.download.nvidia.com/demos/zorah/ZorahSample_UE5_Source_1.1.0.7z "Github Repo")

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  ![](https://developer.download.nvidia.com/images/rtx/kit/real-time-ray-tracing.jpg) 

Zorah technology demo, built in Unreal Engine 5

### Watch Trailer  

See Zorah in action in our visual trailer shown during the NVIDIA keynote at CES 2025.

[Watch Video (1:37)](https://youtu.be/H681NInCwFo)

### What are Cooperative Vectors?

See how cooperative vectors unlocks the full potential of neural rendering.

[Read Blog  
](https://devblogs.microsoft.com/directx/enabling-neural-rendering-in-directx-cooperative-vector-support-coming-soon/)

### Path Tracing in Unreal Engine 5

Learn what you can do with real-time path tracing in UE5.

[Watch Video (36:25)](https://www.youtube.com/watch?v=zD9kS1nOuyU&pp=ygUfcGF0aCB0cmFjaW5nIGluIHVucmVhbCBlbmdpbmUgNQ%3D%3D)

### Get Started with RTX Kit  

In this tutorial, we will focus on how to get started with the new SDKs available today through NVIDIA RTX Kit.

[Read Blog  
](https://developer.nvidia.com/blog/get-started-with-neural-rendering-using-nvidia-rtx-kit/)

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## Key Benefits

 ![A lamp and a piece of satin cloth placed on stone stairs](https://developer.download.nvidia.com/images/rtx/kit/deploy-ai-shaders-1920-1080.jpg)
### Train and Deploy AI From Shaders  

Unlock new compression techniques that reduce texture memory consumption up to 8X and compress shader code for up to 5X faster material processing. Allows developers to render film-quality assets in real time.

 ![Sunlight shining on ancient building walls](https://developer.download.nvidia.com/images/rtx/kit/path-trace-1920-1080.jpg)
### Path Trace at Game-Ready Performance   

Build your bounding volume hierarchy (BVH) faster and simulate physically accurate reflections, shadows and global illumination for detailed worlds.

 ![A digital human rendering by NVIDIA RTX Kit](https://developer.download.nvidia.com/images/rtx/kit/digital-human-render-1920-1080.jpg)
### Accelerate Digital Human Rendering  

Hardware-accelerated strand-based hair provides a simplified workflow with photo-realistic results and ray-traced subsurface scattering renders skin better.

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## Get Started with RTX Kit Technologies

AI-Powered Shaders

Geometry and Lighting

Character Rendering

### RTX Neural Shaders 

Train and deploy neural networks within shaders to unlock new compression and approximation techniques for next-generation asset generation.

[Download (GitHub)](https://github.com/NVIDIA-RTX/Rtxns)

### RTX Neural Texture Compression 

Use AI to compress textures with up to 8x disk memory improvement at similar visual fidelity to traditional block compression.

[Download (GitHub)](https://github.com/NVIDIA-RTX/Rtxntc)

### RTX Texture Filtering 

Randomly samples textures after shading and filters difficult volumes, reducing artifacts and improving image quality.

[Download (GitHub)](https://github.com/NVIDIA-RTX/Rtxtf)

### RTX Neural Materials 

Use AI to compress shader code of complex multi-layered materials for up to 8X faster material processing to bring real-time performance to film-quality assets.

[Notify Me](/rtx-kit/notify-me/)

### RTX Texture Streaming  

Tool that divides textures into smaller tiles and efficiently manages and loads them based on need.

[Download (GitHub)](https://github.com/NVIDIA-RTX/RTXTS)

### RTX Mega Geometry 

Accelerate BVH building for cluster-based geometry systems, enabling up to 100x more ray-traced triangles and better performance in heavily ray-traced scenes.

[Download (GitHub)](https://github.com/NVIDIA-RTX/RTXMG)

[Access NVIDIA RTX Branch of Unreal Engine 5 ](https://developer.nvidia.com/game-engines/unreal-engine/rtx-branch)

### RTX Dynamic Illumination 

Library of importance sampling algorithms that sample the most important lights in a scene and renders them physically accurate.

1. 
ReSTIR DI: One-bounce lighting from many lights without complex data
2. 
ReSTIR GI: Resamples multi-bounce indirect lighting paths  

3. 
ReSTIR PT: Samples the most impactful light paths at any bounce for increased image quality

[Download (GitHub)](https://github.com/NVIDIA-RTX/RTXDI)

[Access RTX Branch of Unreal  
 Engine 5](https://developer.nvidia.com/game-engines/unreal-engine/rtx-branch)

### RTX Global Illumination 

Scalable solution to compute multi-bounce indirect lighting.

1. 
Neural Radiance Cache (NRC): Use AI to predict the amount of light that's emitted from or passing through a specific area
2. 
Spatial Hash Radiance Cache( SHaRC): Fast and scalable algorithm to compute light in a given area  

3. 
Dynamic Diffuse Global Illumination (DDGI): Probe-based solution that delivers multi-bounce indirect lighting without lightmaps or baking.  

[Download (GitHub)](https://github.com/NVIDIA-RTX/Rtxgi)

[Access RTX Branch of Unreal   
Engine 5](https://developer.nvidia.com/game-engines/unreal-engine/rtx-branch)

### NVIDIA RTX™ Path Tracing   

NVIDIA RTX™ Path Tracing (RTXPT) merges years of best practices within real-time ray tracing and neural graphics development for building a real-time path tracer.

[Download (GitHub)](https://github.com/NVIDIA-RTX/RTXPT)

### NVIDIA Real-Time Denoisers   

Library of denoisers designed to work with low ray-per-pixel signals.

1. 
ReBLUR: Denoise diffuse and specular signals  

2. 
SIGMA: Denoise shadows
3. 
ReLAX: Denoise RTX Dynamic Illumination signals.  

[Download (GitHub)](https://github.com/NVIDIA-RTX/NRD)

### NVIDIA Opacity Micro-Map 

Efficiently map intricate geometries onto triangles and encode their opacity for better ray tracing performance.

[Download (GitHub)](https://github.com/NVIDIA-RTX/Omm)

### RTX Memory Utility 

Compaction and suballocation of acceleration structures to reduce memory consumption.

[Download (GitHub)](https://github.com/NVIDIA-RTX/Rtxmu)

### RTX Character Rendering 

Set of tools to create path-traced stand-based hair and skin.

1. 
Subsurface Scattering (SSS): Render skin with accurate lighting and translucency
2. 
Linear Swept Spheres (LSS): Blackwell accelerated sphere and curve primitive for strand-based path-traced hair.  

3. 
Enhanced analytical Bi-Directional Scattering Distribution Function (BSDF): Provides shading for strand-based hair.  

4. 
Disjoint Orthogonal Triangles Strips (DOTS): Provides high-quality strand-based hair for all GPUs.

[Download (Github)](https://github.com/NVIDIA-RTX/Rtxcr)

[Download LSS through the NVIDIA RTX Branch of Unreal Engine 5](https://developer.nvidia.com/game-engines/unreal-engine/rtx-branch)

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## Setup RTX Kit via NVIDIA SDK Manager

Install and maintain RTX Kit easily using the NVIDIA SDK Manager on Windows. This tool provides a guided, dependency-aware setup:Install and launch the SDK 

1. 

Install and launch SDK Manager.

2. 

Sign in to your NVIDIA Developer account.

3. 

Select RTX Kit from the list to configure and deploy.

[Learn More](https://developer.nvidia.com/sdk-manager "Github Repo")

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## Download the New Microsoft Agility SDK Preview Today

Cooperative vectors are a brand-new programming feature available now in Shader Model 6.9. It introduces RTX Tensor core acceleration for AI computations directly within game shaders. This enables significant performance improvements and efficiency gains in neural shading technologies.

[Download Now](https://devblogs.microsoft.com/directx/directx12agility/ "Github Repo")[Learn More](https://devblogs.microsoft.com/directx/agility-sdk-1-717-preview-and-1-616-retail "Github Repo")

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## Additional RTX Rendering Technologies

### Generative AI Face Rendering

RTX Neural Faces is a new generative AI algorithm that allows developers to cross the uncanny valley in real time. This AI model is trained on a character dataset built from the original photographs of the model. Using a synthetic generation pipeline, the base character dataset is expanded to variants with different lighting conditions, emotions and occlusion. This model then takes a rasterized face and 3D pose and generates an enhanced face in real time.

[Get Notified when RTX Neural Faces is Available](/rtx-kit/notify-me)

https://www.youtube-nocookie.com/embed/KnozAHKTz9o?

![Images of a building rendered better with NVIDIA DLSS 4 and Reflex technologies](https://developer.download.nvidia.com/images/rtx/kit/dlss-reflex.jpg)

### Better With DLSS and Reflex

DLSS is a revolutionary suite of neural rendering technologies that uses AI to boost FPS, reduce latency, and improve image quality. ‌The latest breakthrough, DLSS 4, brings new Multi Frame Generation and enhanced Ray Reconstruction and Super Resolution, powered by [NVIDIA GeForce RTX™ 50 Series GPUs](https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/) and fifth-generation Tensor Cores.   
  
Reflex technologies optimize the graphics pipeline for ultimate responsiveness, providing faster target acquisition, quicker reaction times, and improved aim precision in competitive games. Reflex 2 introduces Frame Warp, which further reduces latency based on the game’s latest mouse input.

[Learn More about NVIDIA DLSS](https://developer.nvidia.com/rtx/dlss)

[Learn More about NVIDIA Reflex](https://developer.nvidia.com/performance-rendering-tools/reflex)

### Improving Ray Traced Shader Performance

Shader Execution Reordering (SER) is a performance optimization that unlocks the potential for better execution and memory coherence in ray tracing shaders. SER allows applications to easily reorder threads on the GPU, reducing the divergence effects that occur in particularly challenging ray tracing workloads like path tracing. New SER innovations in GeForce RTX 50 Series GPUs further improve efficiency and precision of shader reordering operations compared to GeForce RTX 40 Series GPUs.

[Learn How to Get Started](/blog/improve-shader-performance-and-in-game-frame-rates-with-shader-execution-reordering/)

![NVIDIA RTX Neural Faces generates an enhanced face in real time](https://developer.download.nvidia.com/images/rtx/kit/ser-1920-1080.jpg)

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## RTX Kit Library



| content_type | created_at | excerpt | featured | featured_in | learning_levels | links | products | source | title | topics |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Model | 1696600342 | Contains files used in rmir creation | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/speechsynthesis_en_us_auxiliary_files"} | TAO Toolkit | ngc | Riva TTS English US Auxiliary Files | riva, conversational_ai |
| Model | 1696600432 | Base English grammar | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/inverse_normalization_en_us"} | TAO Toolkit | ngc | Riva ASR English Inverse Normalization Grammar | riva, conversational_ai |
| Model | 1696600394 | Base English 3-gram LM | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/speechtotext_en_gb_lm"} | TAO Toolkit | ngc | Riva ASR English(en-GB) LM | riva, conversational_ai |
| Model | 1743692919 | English Conformer ASR model trained on ASR set 6.0 | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/speechtotext_en_us_conformer"} | Riva | ngc | RIVA Conformer ASR English - ASR set 6.0 | riva, conversational_ai |
| Model | 1696603964 | Domain classification of the query for weather chat bot. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/domainclassification_english_bert"} | TAO Toolkit | ngc | Domain Classification English Bert | riva, conversational_ai |
| Model | 1696600595 | English Conformer ASR model for en-US | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/speechtotext_en_us_conformer"} | TAO Toolkit | ngc | RIVA Conformer ASR English(en-US) | riva, conversational_ai |
| Model | 1696603971 | Mel-Spectrogram prediction conditioned on input text with LJSpeech voice. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/speechsynthesis_english_fastpitch"} | TAO Toolkit | ngc | Speech Synthesis English FastPitch | riva, conversational_ai |
| Model | 1719943458 | Base English n-gram LM trained on LibriSpeech, Switchboard and Fisher | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/speechtotext_en_us_lm"} | Riva | ngc | Riva ASR English LM | riva, conversational_ai |
| Model | 1680635131 | English en-US Citrinet ASR model trained on RIVA ASR set | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/speechtotext_en_us_citrinet"} | Riva | ngc | RIVA Citrinet ASR English en-US | riva, conversational_ai |
| Model | 1696600588 | Speech to Text Citrinet models for English. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/speechtotext_english_citrinet"} | TAO Toolkit | ngc | Speech to Text English Citrinet | riva, conversational_ai |
| Model | 1696600417 | GAN-based waveform generator from mel-spectrograms. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/speechsynthesis_hifigan"} | TAO Toolkit | ngc | Speech Synthesis HiFi-GAN | riva, conversational_ai |
| Model | 1696600722 | For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/punctuationcapitalization_en_us_bert_base"} | TAO Toolkit | ngc | RIVA Punctuation | riva, conversational_ai |
| Model | 1696600514 | Base English n-gram LM trained on LibriSpeech, Switchboard and Fisher | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/speechtotext_en_us_lm"} | TAO Toolkit | ngc | Riva ASR English(en-US) LM | riva, conversational_ai |
| Model | 1743693189 | Arabic (ar-AR) Conformer ASR model trained on ASR set 2.0 | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/speechtotext_ar_ar_conformer"} | Riva | ngc | RIVA Conformer ASR Arabic | riva, conversational_ai |
| Model | 1751575822 | For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/punctuationcapitalization_en_us_bert_base"} | Riva | ngc | RIVA Punctuation and Capitalization for English | riva, conversational_ai |
| Model | 1696600551 | Base English n-gram LM trained on LibriSpeech, Switchboard and Fisher | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/speechtotext_english_lm"} | TAO Toolkit | ngc | Riva ASR English LM | riva, conversational_ai |
| Model | 1696600425 | Question Answering Bert Base uncased model for extractive question answering on any provided content. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/questionanswering_squad_english_bert"} | TAO Toolkit | ngc | Question Answering SQUAD2.0 Bert | riva, conversational_ai |
| Model | 1696600282 | Intent and Slot classification of the qeuries for the weather chat bot (trained on weather chat bot data). | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/intentslotclassification_weather_english_bert"} | TAO Toolkit | ngc | Joint Intent and Slot Classification Bert | riva, conversational_ai |
| Model | 1696600484 | For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/punctuationcapitalization_english_bert"} | TAO Toolkit | ngc | Punctuation and Capitalization Bert | riva, conversational_ai |
| Model | 1743693434 | Hindi Conformer ASR model trained on RIVA ASR set | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/speechtotext_hi_in_conformer"} | Riva | ngc | RIVA Conformer ASR Hindi | riva, conversational_ai |
| Model | 1696600312 | Question Answering Bert Large uncased model for extractive question answering on any provided content. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/questionanswering_squad_english_bertlarge"} | TAO Toolkit | ngc | Question Answering SQUAD2.0 Bert - Large | riva, conversational_ai |
| Model | 1743693488 | Spanish Conformer ASR model trained on ASR set 3.0 | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/speechtotext_es_us_conformer"} | Riva | ngc | RIVA Conformer ASR Spanish - ASR set 3.0 | riva, conversational_ai |
| Model | 1696600529 | Russian Citrinet ASR model trained on ASR set 1.0 | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/speechtotext_ru_ru_citrinet"} | TAO Toolkit | ngc | RIVA Citrinet ASR Russian | riva, conversational_ai |
| Model | 1743693535 | Japanese Conformer ASR model trained on RIVA ASR set | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/speechtotext_ja_jp_conformer"} | Riva | ngc | RIVA Conformer ASR Japanese | riva, conversational_ai |
| Model | 1743693565 | Russian Conformer ASR model trained on RIVA ASR set | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/speechtotext_ru_ru_conformer"} | Riva | ngc | RIVA Conformer ASR Russian | riva, conversational_ai |
| Model | 1743693798 | Brazilian Portuguese (pt-BR) Conformer ASR model trained on ASR set 1.0 | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/speechtotext_pt_br_conformer"} | Riva | ngc | RIVA Conformer ASR Brazilian Portuguese | riva, conversational_ai |
| Model | 1733260471 | SytheticaDETR is a real-time object detection model based on a transformer architecture trained entirely in simulation and works on real images zero-shot. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/isaac/models/synthetica_detr"} |  | ngc | SyntheticaDETR | inference |
| Model | 1733260438 | People bounding box detection network, finetuned on robotics AMR dataset, optimized for multi-camera RealSense setup. Used in nvblox multi-camera optimization. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/isaac/models/optimized_peoplenet_amr"} |  | ngc | PeopleNet AMR | inference |
| Model | 1718392536 | Gemma-2B is a 2.5B parameter model from Gemma family of models from Google. It has been instruction-tuned so it can respond to prompts in a conversational manner. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/models/gemma_2b_it_trtllm"} |  | ngc | Gemma 2B Instruct (TensorRT LLM) | inference |
| Model | 1731434114 | Llama 2 is a large language AI model comprising a collection of models capable of generating text and code in response to prompts. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/models/llama_2_7b_chat_trtllm"} |  | ngc | Llama 2 7B Chat (TensorRT LLM) | inference |
| Model | 1718393026 | Mistral-7B-Instruct is a language model that can follow instructions, complete requests, and generate creative text formats. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/models/mistral-7b-it-v02_trtllm"} |  | ngc | Mistral 7B Instruct (TensorRT LLM) | inference |
| Model | 1718393042 | Phi-2 is a 2.7 billion parameter language model developed by Microsoft Research. The phi-2 model is best suited for prompts using the Question-Answer (QA) format, the chat format, and the code format. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/models/phi_2_trtllm"} |  | ngc | Phi-2 (TensorRT LLM) | inference |
| Container | 1780421356 | Triton Inference Server is an open source software that lets teams deploy trained AI models from any framework, from local or cloud storage and on any GPU- or CPU-based infrastructure in the cloud, data center, or embedded devices. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tritonserver"} |  | ngc | Triton Inference Server | inference |
| Container | 1780352990 | NVIDIA TensorRT is a C++ library that facilitates high-performance inference on NVIDIA graphics processing units (GPUs). TensorRT takes a trained network and produces a highly optimized runtime engine that performs inference for that network. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tensorrt"} |  | ngc | TensorRT | inference |
| Container | 1773808710 | DeepStream SDK delivers a complete streaming analytics toolkit for AI based video and image understanding and multi-sensor processing. This container is for NVIDIA Enterprise GPUs. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/deepstream"} |  | ngc | DeepStream | inference |
| Container | 1765849901 | Riva Speech Skills is a scalable Conversational AI service platform. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/containers/riva-speech"} | Riva | ngc | Riva Speech Skills | riva, conversational_ai, inference |
| Container | 1773808726 | DeepStream SDK delivers a complete streaming analytics toolkit for real-time AI based video and image understanding and multi-sensor processing. This container is for NVIDIA Jetson platform. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/deepstream-l4t"} |  | ngc | DeepStream-l4t | inference |
| Container | 1762444186 | CUDA is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the NVIDIA GPUs. These images extend the CUDA images to include OpenGL support through libglvnd. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cudagl"} |  | ngc | CUDA GL | inference |
| Container | 1762444232 | NVIDIA TensorRT is a C++ library that facilitates high-performance inference on NVIDIA graphics processing units (GPUs). TensorRT takes a trained network and produces a highly optimized runtime engine that performs inference for that network. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-tensorrt"} |  | ngc | NVIDIA L4T TensorRT | inference |
| Container | 1765481776 | The Merlin PyTorch container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with PyTorch, and serve the trained model on Triton Inference Server. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-pytorch"} |  | ngc | Merlin PyTorch | inference, morpheus |
| Container | 1770834337 | MLPerf Inference containers are base containers for people interested in NVIDIA's MLPerf Inference submission results | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/mlperf/containers/mlperf-inference"} |  | ngc | NVIDIA MLPerf Inference | inference |
| Container | 1769012229 | The MLflow Triton plugin is for deploying your models from MLflow to Triton Inference Server. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/containers/mlflow-triton-plugin"} |  | ngc | MLflow Triton Plugin | cybersecurity, cuvs, morpheus |
| Container | 1765481841 | The Merlin TensorFlow container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with TensorFlow, and serve the trained model on Triton Inference Server. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow"} |  | ngc | Merlin TensorFlow | inference, morpheus |
| Container | 1769015587 | NVIDIA Morpheus is an open AI application framework for cybersecurity developers. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/containers/morpheus"} |  | ngc | Morpheus | inference, cybersecurity, cuvs, morpheus |
| Container | 1765481739 | The Merlin HugeCTR container enables you to perform data preprocessing, feature engineering, train models with HugeCTR, and then serve the trained model with Triton Inference Server. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr"} |  | ngc | Merlin HugeCTR | morpheus |
| Container | 1762817113 | NVCF ClusterAgent (NVCA) is a self-installable micro-service that enables a compute backend to host NVIDIA Cloud Functions’ instances. NVCA Webhook Server is used by NVCA to enforce restrictions for NVCF Mini Service. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nvcf-byoc/containers/nvca-webhook-server"} |  | ngc | NVCA Webhook Server | inference |
| Container | 1762456402 | This container allows users to deploy NVTabular workflows and TensorFlow models to Triton Inference server for production. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow-inference"} |  | ngc | Merlin Tensorflow Inference | morpheus |
| Container | 1762444236 | NVIDIA Morpheus Production Branch May 2024 (PB 24h1) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/morpheus-pb24h1"} |  | ngc | NVIDIA Morpheus PB May 2024 (PB 24h1) | cybersecurity, cuvs, morpheus |
| Container | 1775846197 | The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/rapidsai/containers/notebooks"} |  | ngc | RAPIDS Notebooks | morpheus |
| Container | 1775846217 | The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/rapidsai/containers/base"} |  | ngc | RAPIDS Base | morpheus |
| Container | 1762456403 | This container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with TensorFlow. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow-training"} |  | ngc | Merlin Tensorflow Training | morpheus |
| Container | 1762456401 | This container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with PyTorch. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-pytorch-training"} |  | ngc | Merlin PyTorch Training | morpheus |
| Container | 1762456404 | This container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with HugeCTR. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-training"} |  | ngc | Merlin Training | morpheus |
| Container | 1762456400 | This container allows users to deploy NVTabular workflows and PyTorch models to Triton Inference server for production. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-pytorch-inference"} |  | ngc | Merlin PyTorch Inference | morpheus |
| Blog | 1726674523 | NVIDIA NIM, part of NVIDIA AI Enterprise, provides containers to self-host GPU-accelerated inferencing microservices for pretrained and customized AI models… | false | {} | Intermediate, Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/quickly-voice-your-apps-with-nvidia-nim-microservices-for-speech-and-translation/"} | NIM, Riva | techblog | Quickly Voice Your Apps with NVIDIA NIM Microservices for Speech and Translation | riva, conversational_ai |
| Blog | 1710838800 | Speech and translation AI models developed at NVIDIA are pushing the boundaries of performance and innovation. The NVIDIA Parakeet automatic speech recognition… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-speech-and-translation-ai-models-set-records-for-speed-and-accuracy/"} | LaunchPad, Riva | techblog | NVIDIA Speech and Translation AI Models Set Records for Speed and Accuracy | riva, conversational_ai |
| Blog | 1710774000 | Generative AI has the potential to transform every industry. Human workers are already using large language models (LLMs) to explain, reason about… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-take-a-rag-application-from-pilot-to-production-in-four-steps/"} | AI Enterprise, Metropolis, Morpheus, NeMo, NeMo Microservices, NeMo Retriever, NIM, RAPIDS, Riva | techblog | How to Take a RAG Application from Pilot to Production in Four Steps | riva, morpheus, nemo_retriever, rag |
| Blog | 1704702600 | Convai is a versatile developer platform for designing characters with advanced multimodal perception abilities. These characters are designed to integrate… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/spotlight-convai-reinvents-non-playable-character-interactions/"} | AI Enterprise, Avatar Cloud Engine (ACE), Audio2Face, NeMo, Omniverse, Riva, Triton Inference Server, Dynamo | techblog | Spotlight: Convai Reinvents Non-Playable Character Interactions | riva |
| Blog | 1699344442 | The integration of speech and translation AI into our daily lives is rapidly reshaping our interactions, from virtual assistants to call centers and augmented… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/video-exploring-speech-ai-from-research-to-practical-production-applications/"} | Riva | techblog | Video: Exploring Speech AI from Research to Practical Production Applications | riva |
| Blog | 1695204000 | Learn how to build and deploy production-quality conversational AI apps with real-time transcription and NLP. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://nvda.ws/48oZgfp#new_tab"} | NeMo Framework, Riva | techblog | Workshop: Building Conversational AI Applications | riva |
| Blog | 1693303200 | From start-ups to large enterprises, businesses use cloud marketplaces to find the new solutions needed to quickly transform their businesses. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-deploy-riva-speech-and-translation-ai-in-the-public-cloud/"} | Riva | techblog | How to Deploy NVIDIA Riva Speech and Translation AI in the Public Cloud | riva |
| Blog | 1687507200 | Audio can include a wide range of sounds, from human speech to non-speech sounds like barking dogs and sirens. When designing accessible applications for people… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/speech-ai-spotlight-visualizing-spoken-language-and-sounds-on-ar-glasses/"} | Riva | techblog | Speech AI Spotlight: Visualizing Spoken Language and Sounds on AR Glasses | riva |
| Blog | 1686045600 | This post summarizes the top questions asked during Unlocking Speech AI Technology for Global Language Users, a recorded talk from the Speech AI Summit 2022. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/unlocking-speech-ai-technology-for-global-language-users-top-qas/"} | NeMo Framework, Riva | techblog | Unlocking Speech AI Technology for Global Language Users: Top Q&As | riva |
| Blog | 1684227600 | Join Infosys, NVIDIA and Quantiphi on June 7 to learn how to use speech and translation AI to improve agent assist solutions in multiple languages. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://nvda.ws/3VbKm5I#new_tab"} | Riva | techblog | Webinar: Empower Telco Contact Center Agents with Multi-Language Speech-AI-Customized Agent Assists | riva |
| Blog | 1683198000 | Agent-assist technology uses AI and ML to provide facts and make real-time suggestions that help human agents across retail, telecom, and other industries conduct... | false | {} | General Interest | {"text" => "Learn more", "url" => "https://nvda.ws/448NHGO#new_tab"} | Riva | techblog | Explainer: What Is Agent Assist? | riva |
| Blog | 1683018000 | Join Infosys, Quantiphi, Talkmap, and NVIDIA on May 31 for a live webinar to learn how telecommunications companies are using AI to improve operational efficiency and... | false | {} |  | {"text" => "Learn more", "url" => "https://nvda.ws/3LCd3po#new_tab"} | Riva | techblog | Webinar: How Telcos Transform Customer Experiences with Conversational AI | riva |
| Blog | 1683018000 | The telecommunication industry has seen a proliferation of AI-powered technologies in recent years, with speech recognition and translation leading the charge. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-speech-recognition-improves-customer-service-in-telecommunications/"} | NeMo Framework, Riva | techblog | How Speech Recognition Improves Customer Service in Telecommunications | riva |
| Blog | 1681903740 | When interacting with a virtual assistant, you give a command and receive a verbal response. The technology powering this generated voice response is known as… | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/exploring-unique-applications-of-text-to-speech-technology/"} | Omniverse ACE, Riva | techblog | Exploring Unique Applications of Text-to-Speech Technology | riva |
| Blog | 1681896548 | This hands-on workshop will guide you through the process of voice-enabling your product, from familiarizing yourself with NVIDIA Riva to assessing the costs and... | false | {} | Beginner | {"text" => "Learn more", "url" => "https://nvda.ws/3onruEu#new_tab"} | Riva | techblog | Workshop: How to Enable Your Product with Voice Interface | riva |
| Blog | 1679558400 | At GTC 2023, NVIDIA announced that developers can start testing Project Mellon to explore creating hands-free extended reality (XR) experiences controlled by... | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/create-xr-experiences-using-natural-language-voice-commands-test-project-mellon/"} | Riva | techblog | Create XR Experiences Using Natural-Language Voice Commands: Test Project Mellon | riva |
| Blog | 1677834000 | Learn about advancements in video conferencing that have transformed how we communicate. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://nvda.ws/3EOo4QR#new_tab"} | Maxine, Riva | techblog | Top Video Streaming and Conferencing Sessions at NVIDIA GTC 2023 | riva, maxine |
| Blog | 1677583827 | Learn about the latest tools, trends, and technologies for building and deploying conversational AI. | false | {} |  | {"text" => "Learn more", "url" => "https://nvda.ws/41sYdaR#new_tab"} | NeMo Framework, Riva | techblog | Top Conversational AI Sessions at NVIDIA GTC 2023 | riva |
| Blog | 1676383200 | Explore the latest advances in accurate and customizable automatic speech recognition, multi-language translation, and text-to-speech. | false | {} |  | {"text" => "Learn more", "url" => "https://nvda.ws/3jRS331#new_tab"} | Riva | techblog | Top Speech AI Developer Day Sessions at NVIDIA GTC 2023 | riva |
| Blog | 1675846800 | Over 55% of the global population uses social media, easily sharing online content with just one click. While connecting with others and consuming entertaining… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/speech-ai-spotlight-how-pendulum-nabs-harmful-narratives-online/"} | Riva, Triton Inference Server, Dynamo | techblog | Speech AI Spotlight: How Pendulum Nabs Harmful Narratives Online | riva |
| Blog | 1674565200 | Learn to build an engaging and intelligent virtual assistant with NVIDIA AI workflows powered by NVIDIA Riva in this free hands-on lab from NVIDIA LaunchPad… | false | {} |  | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/launchpad/ai/intelligent-virtual-assistant/#new_tab"} | LaunchPad, Riva | techblog | New Hands-on Lab: Intelligent Virtual Assistant | riva |
| Blog | 1673515800 | Learn how to deploy NVIDIA Riva servers on a large scale with Kubernetes for autoscaling and Traefik for load balancing.  | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/autoscaling-nvidia-riva-deployment-with-kubernetes-for-speech-ai-in-production/"} | Riva, Triton Inference Server, Dynamo | techblog | Autoscaling NVIDIA Riva Deployment with Kubernetes for Speech AI in Production | riva |
| Blog | 1673427600 | Join this webinar on January 25 and learn how to build a voice-enabled intelligent virtual assistant to improve customer experiences at contact centers. | false | {} |  | {"text" => "Learn more", "url" => "https://info.nvidia.com/ai-virtual-assistant-for-finance-contact-centers-webinar.html#new_tab"} | Riva | techblog | Upcoming Webinar: Building an Intelligent Virtual Assistant for Financial Services | riva |
| Blog | 1671207787 | From taking your order and serving you food in a restaurant to playing poker with you, service robots are becoming increasingly prevalent. Globally… | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/speech-ai-technology-enables-natural-interactions-with-service-robots/"} | Riva | techblog | Speech AI Technology Enables Natural Interactions with Service Robots | riva |
| Blog | 1671091200 | As the global service economy grows, companies rely increasingly on contact centers to drive better customer experiences, increase customer satisfaction… | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/reducing-development-time-for-intelligent-virtual-assistants-in-contact-centers/"} | Riva | techblog | Reducing Development Time for Intelligent Virtual Assistants in Contact Centers | riva |
| Blog | 1666951200 | NVIDIA Riva facilitates the process of creating ASR services with the tools and methodologies to help you realize your skills, all the way from raw data to a ready-to-use... | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/making-an-nvidia-riva-asr-service-for-a-new-language/"} | Riva | techblog | Making an NVIDIA Riva ASR Service for a New Language | riva |
| Blog | 1666603800 | Learn how to build, train, customize, and deploy a GPU-accelerated automatic speech recognition service with NVIDIA Riva in this self-paced course. | false | {} |  | {"text" => "Learn more", "url" => "https://courses.nvidia.com/courses/course-v1:DLI+S-FX-04+V1/?nvid=nv-int-tblg-973505#cid=dli03_nv-int-tblg_en-us#new_tab"} | Riva | techblog | New Course: Get Started with Highly Accurate Custom ASR for Speech AI | riva |
| Blog | 1664186400 | Build better GPU-accelerated Speech AI applications with the latest NVIDIA Riva updates, including enterprise support. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/riva/getting-started#new_tab"} | Riva | techblog | Just Released: New Updates to NVIDIA Riva | riva |
| Blog | 1663748280 | Major updates to AI frameworks for building real-time speech AI apps, designing high-performing recommenders at scale, applying AI to cybersecurity challenges, and... | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/new-languages-enhanced-cybersecurity-and-medical-ai-frameworks-unveiled-at-gtc/"} | BioNeMo, Clara Holoscan, cuOpt, DRIVE, Isaac SDK, Maxine, Merlin, Metropolis, MONAI, Morpheus, NeMo Framework, Riva, Triton Inference Server, Dynamo | techblog | New Languages, Enhanced Cybersecurity, and Medical AI Frameworks Unveiled at GTC | riva, morpheus, maxine |
| Blog | 1663146000 | Technical tutorial for extended reality (XR) developers adding speech AI skills, like ASR and TTS, to AR/VR/MR applications using Riva SDK as an example. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/developing-the-next-generation-of-extended-reality-applications-with-speech-ai/"} | CloudXR, Riva | techblog | Developing the Next Generation of Extended Reality Applications with Speech AI | riva, xr |
| Blog | 1661936400 | Top speech recognition challenges developers face when building and deploying an ASR application and how to solve them using a speech AI-optimized workflow. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/solving-automatic-speech-recognition-deployment-challenges/"} | Riva | techblog | Solving Automatic Speech Recognition Deployment Challenges | riva |
| Blog | 1658997000 |  Learn how to get started with NVIDIA Riva, a fully accelerated speech AI SDK, on AWS EC2 using Jupyter Notebooks and a sample virtual assistant application.   | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-a-speech-enabled-ai-virtual-assistant-with-riva-on-amazon-ec2/"} | Riva | techblog | Building a Speech-Enabled AI Virtual Assistant with NVIDIA Riva on Amazon EC2 | riva |
| Blog | 1656597600 | Learn how NVIDIA Inception member Minerva CQ is using NVIDIA Riva to deliver faster, personalized experiences within a global EV charging and electric mobility company. | false | {} |  | {"text" => "Learn more", "url" => "https://www.minervacq.com/minervacq-first-to-deploy-nvidia-riva-in-energy#new_tab"} | Riva | techblog | Minerva CQ Deploys NVIDIA Riva Enterprise in the Energy Sector | riva |
| Blog | 1727264389 | Expanding the open-source Meta Llama collection of models, the Llama 3.2 collection includes vision language models (VLMs), small language models (SLMs)… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/deploying-accelerated-llama-3-2-from-the-edge-to-the-cloud/"} | AI Enterprise, H100, Jetson, NeMo, NIM, TensorRT, TensorRT-LLM | techblog | Deploying Accelerated Llama 3.2 from the Edge to the Cloud | conversational_ai |
| Blog | 1727177255 | NVIDIA NeMo has consistently developed automatic speech recognition (ASR) models that set the benchmark in the industry, particularly those topping the Hugging… | false | {} | Intermediate, Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-leaderboard-topping-asr-models-10x-with-nvidia-nemo/"} | CUDA, NeMo, NIM | techblog | Accelerating Leaderboard-Topping ASR Models 10x with NVIDIA NeMo | conversational_ai |
| Blog | 1726558200 | For any data center, operating large, complex GPU clusters is not for the faint of heart! There is a tremendous amount of complexity. Cooling, power, networking… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/optimizing-data-center-performance-with-ai-agents-and-the-ooda-loop-strategy/"} | NeMo Retriever, NIM | techblog | Optimizing Data Center Performance with AI Agents and the OODA Loop Strategy | conversational_ai, nemo_retriever |
| Blog | 1725958800 | As large language models (LLMs) are becoming even bigger, it is increasingly important to provide easy-to-use and efficient deployment paths because the cost of… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/post-training-quantization-of-llms-with-nvidia-nemo-and-nvidia-tensorrt-model-optimizer/"} | NeMo, TensorRT, TensorRT-LLM | techblog | Post-Training Quantization of LLMs with NVIDIA NeMo and NVIDIA TensorRT Model Optimizer | inference |
| Blog | 1724749200 | The advent of large language models (LLMs) has significantly benefited the AI industry, offering versatile tools capable of generating human-like text and… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/enhancing-rag-applications-with-nvidia-nim/"} | NeMo Retriever, NIM | techblog | Enhancing RAG Applications with NVIDIA NIM | conversational_ai, nemo_retriever, rag |
| Blog | 1724230800 | As the use of large language models (LLMs) grows across many applications, such as chatbots and content creation, it’s important to understand the process of… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/practical-strategies-for-optimizing-llm-inference-sizing-and-performance/"} | NeMo, TensorRT, Triton Inference Server, Dynamo | techblog | Practical Strategies for Optimizing LLM Inference Sizing and Performance | conversational_ai |
| Blog | 1724133900 | At Gamescom 2024, NVIDIA announced our first on-device small language model (SLM) for improving the conversation abilities of game characters. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/deploy-the-first-on-device-small-language-model-for-improved-game-character-roleplay/"} | Avatar Cloud Engine (ACE), Audio2Face, NIM, RTX GPU | techblog | Deploy the First On-Device Small Language Model for Improved Game Character Roleplay | conversational_ai |
| Blog | 1723716697 | NVIDIA has announced the latest v0.15 release of NVIDIA TensorRT Model Optimizer, a state-of-the-art quantization toolkit of model optimization techniques… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-tensorrt-model-optimizer-v0-15-boosts-inference-performance-and-expands-model-support/"} | NeMo, TensorRT | techblog | NVIDIA TensorRT Model Optimizer v0.15 Boosts Inference Performance and Expands Model Support | conversational_ai |
| Blog | 1723556244 | The new model by Mistral excels at a variety of complex tasks including text summarization, multilingual translation and reasoning, programming… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://nvda.ws/4cE63Tr#new_tab"} | AI Foundation Models, NIM | techblog | New NIM Available: Mistral Large 2 Instruct LLM | conversational_ai |
| Blog | 1723021200 | NVIDIA NIM, part of NVIDIA AI Enterprise, now supports tool-calling for models like Llama 3.1. It also integrates with LangChain to provide you with a… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-ai-agents-with-nvidia-nim-microservices-and-langchain/"} | NeMo, NeMo Retriever, NIM | techblog | Building AI Agents with NVIDIA NIM Microservices and LangChain | conversational_ai, nemo_retriever, rag |
| Blog | 1722851531 | Building an effective automatic speech recognition (ASR) model for underrepresented languages presents unique challenges due to limited data resources. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/developing-robust-georgian-automatic-speech-recognition-with-fastconformer-hybrid-transducer-ctc-bpe/"} | NeMo | techblog | Developing Robust Georgian Automatic Speech Recognition with FastConformer Hybrid Transducer CTC BPE | conversational_ai |
| Blog | 1722330000 | In the rapidly evolving landscape of AI-driven applications, re-ranking has emerged as a pivotal technique to enhance the precision and relevance of enterprise… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/enhancing-rag-pipelines-with-re-ranking/"} | NeMo, NeMo Retriever, NIM | techblog | Enhancing RAG Pipelines with Re-Ranking | conversational_ai, nemo_retriever, rag |
| Blog | 1721212328 | Today’s large language models (LLMs) are based on the transformer model architecture introduced in 2017. Since then, rapid advances in AI compute performance… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-nemo-accelerates-llm-innovation-with-hybrid-state-space-model-support/"} | NeMo | techblog | NVIDIA NeMo Accelerates LLM Innovation with Hybrid State Space Model Support | conversational_ai |
| Blog | 1721140790 | Register now for an instructor-led public workshop in July, August or September. Space is limited. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://nvda.ws/3zJe4bH#new_tab"} | NeMo, TensorRT, TensorRT-LLM, Triton Inference Server, Dynamo | techblog | New Workshops: Customize LLMs, Build and Deploy Large Neural Networks | conversational_ai |
| Blog | 1719925200 | NVIDIA NeMo has released the T5-TTS model, a significant advancement in text-to-speech (TTS) technology. Based on large language models (LLMs)… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/addressing-hallucinations-in-speech-synthesis-llms-with-the-nvidia-nemo-t5-tts-model/"} | NeMo | techblog | Addressing Hallucinations in Speech Synthesis LLMs with the NVIDIA NeMo T5-TTS Model | conversational_ai |
| Blog | 1717494169 | NVIDIA ACE—a suite of generative AI-enabled digital human technologies—is now generally available for developers. Packaged as NVIDIA NIM microservices… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-lifelike-digital-humans-with-nvidia-ace-now-generally-available/"} | Avatar Cloud Engine (ACE), NIM | techblog | Build Lifelike Digital Human Technology with NVIDIA ACE, Now Generally Available | conversational_ai |
| Blog | 1716973270 | Join our contest that runs through June 17 and showcase your innovation using cutting-edge generative AI-powered applications using NVIDIA and LangChain… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/generative-ai-agents-developer-contest-top-tips-for-getting-started/"} | NeMo, NeMo Curator | techblog | Generative AI Agents Developer Contest: Top Tips for Getting Started | conversational_ai, nemo_curator |
| Blog | 1716541200 | The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated library for accelerating deep learning primitives with state-of-the-art performance. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-transformers-with-nvidia-cudnn-9/"} | cuDNN, NeMo | techblog | Accelerating Transformers with NVIDIA cuDNN 9 | conversational_ai |
| Blog | 1715941789 | In Part 1, we discussed how to train a monolingual tokenizer and merge it with a pretrained LLM’s tokenizer to form a multilingual tokenizer. In this post… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/training-localized-multilingual-llms-with-nvidia-nemo-part-2/"} | NeMo, NeMo Curator, NeMo Customizer, NeMo Microservices | techblog | Training Localized Multilingual LLMs with NVIDIA NeMo, Part 2 | conversational_ai, nemo_curator, nemo_customizer |
| Blog | 1715941753 | In today’s globalized world, the ability of AI systems to understand and communicate in diverse languages is increasingly crucial. Large language models (LLMs)… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/training-localized-multilingual-llms-with-nvidia-nemo-part-1/"} | NeMo, NeMo Curator, NeMo Microservices | techblog | Training Localized Multilingual LLMs with NVIDIA NeMo, Part 1 | conversational_ai, nemo_curator |
| Blog | 1715778000 | Imagine an application that can sift through mountains of patient data, intelligently searching and answering questions about diagnoses, health histories… | false | {} | Beginner, Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/develop-secure-reliable-medical-apps-with-rag-and-nvidia-nemo-guardrails/"} | NeMo, NeMo Guardrails | techblog | Develop Secure, Reliable Medical Apps with RAG and NVIDIA NeMo Guardrails | conversational_ai, nemo_guardrails |
| Blog | 1715595458 | In the first post, we walked through the prerequisites for a neural machine translation example from English to Chinese, running the pretrained model with NeMo… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/customizing-neural-machine-translation-models-with-nvidia-nemo-part-2/"} | NeMo, NeMo Curator, NeMo Evaluator | techblog | Customizing Neural Machine Translation Models with NVIDIA NeMo, Part 2 | conversational_ai, nemo_curator, nemo_evaluator |
| Blog | 1701698400 | NVIDIA today unveiled major upgrades to the NVIDIA Avatar Cloud Engine (ACE) suite of technologies, bringing enhanced realism and accessibility to AI-powered… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/create-lifelike-avatars-with-ai-animation-and-speech-features-in-nvidia-ace/"} | Avatar Cloud Engine (ACE), Audio2Face, NeMo, NeMo Guardrails | techblog | Create Lifelike Avatars with AI Animation and Speech Features in NVIDIA ACE | nemo_guardrails |
| Blog | 1726574656 | The vast majority of the world’s data remains untapped, and enterprises are looking to generate value from this data by creating the next wave of generative AI… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-oracle-database-gen-ai-workloads-with-nvidia-nim-and-nvidia-cuvs/"} | CUDA, cuVS, Fleet Command, NeMo Retriever, NIM | techblog | Accelerating Oracle Database Generative AI Workloads with NVIDIA NIM and NVIDIA cuVS | nemo_retriever, rag, cuvs |
| Blog | 1724832000 | Trillions of PDF files are generated every year, each file likely consisting of multiple pages filled with various content types, including text, images, charts… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-an-enterprise-scale-multimodal-document-retrieval-pipeline-with-nvidia-nim-agent-blueprint/"} | NeMo, NeMo Retriever, NIM | techblog | Build an Enterprise-Scale Multimodal PDF Data Extraction Pipeline with an NVIDIA AI Blueprint | nemo_retriever, rag |
| Blog | 1709110800 | Join us on March 20 for Cybersecurity Developer Day at GTC to gain insights on leveraging generative AI for cyber defense. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://nvda.ws/3waljI7#new_tab"} | AI Workbench, LaunchPad, Morpheus | techblog | Event: Cybersecurity Developer Day at NVIDIA GTC 2024 | morpheus |
| Blog | 1707913611 | Discover how generative AI is powering cybersecurity solutions with enhanced speed, accuracy, and scalability. | false | {} | Beginner, Intermediate, Advanced | {"text" => "Learn more", "url" => "https://nvda.ws/4bL7WhV#new_tab"} | AI Workbench, LaunchPad, Morpheus | techblog | Featured Cybersecurity Sessions at NVIDIA GTC 2024 | morpheus |
| Blog | 1706090400 | Learn how generative AI can help defend against spear phishing in this January 30 webinar. | false | {} | Beginner, Intermediate | {"text" => "Learn more", "url" => "https://nvda.ws/48FJ4pR#new_tab"} | Morpheus | techblog | Webinar: Improve Spear Phishing Detection with AI | morpheus |
| Blog | 1701046800 | Identity-based attacks are on the rise, with phishing remaining the most common and second-most expensive attack vector. Some attackers are using AI to craft… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/bolstering-cybersecurity-how-large-language-models-and-generative-ai-are-transforming-digital-security/"} | Morpheus | techblog | Bolstering Cybersecurity: How Large Language Models and Generative AI are Transforming Digital Security | morpheus |
| Blog | 1694516400 | Spear phishing is the largest and most costly form of cyber threat, with an estimated 300,000 reported victims in 2021 representing $44 million in reported… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/generative-ai-and-accelerated-computing-for-spear-phishing-detection/"} | Morpheus, NeMo Framework | techblog | Generative AI and Accelerated Computing for Spear Phishing Detection | morpheus |
| Blog | 1694002135 | Ransomware attacks have become increasingly popular, more sophisticated, and harder to detect. For example, in 2022, a destructive ransomware attack took 233… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/supercharge-ransomware-detection-with-ai-enhanced-cybersecurity-solutions/"} | BlueField DPU, DOCA, Morpheus | techblog | Supercharge Ransomware Detection with AI-Enhanced Cybersecurity Solutions | morpheus |
| Blog | 1690203600 | NVIDIA DOCA GPUNetIO library can be adopted in a wide range of applications from different contexts, providing huge improvements for latency, throughput, and system... | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/realizing-the-power-of-real-time-network-processing-with-nvidia-doca-gpunetio/"} | Aerial, BlueField DPU, ConnectX, DOCA, Morpheus | techblog | Realizing the Power of Real-Time Network Processing with NVIDIA DOCA GPUNetIO | morpheus |
| Blog | 1687265642 | Learn how financial firms can build automated, real-time fraud and threat detection solutions with NVIDIA Morpheus. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://nvda.ws/3J7ZHzx#new_tab"} | Morpheus | techblog | Webinar: AI-Enabled Cybersecurity for Financial Services | morpheus |
| Blog | 1683536400 | Join NVIDIA on Tuesday, June 6, 2023 at 9AM PT, for a webinar on cybersecurity and AI in retail. We discuss how AI can bring a new level of information security to the... | false | {} | General Interest | {"text" => "Learn more", "url" => "https://nvda.ws/44L3bRZ#new_tab"} | Morpheus | techblog | Webinar: Cybersecurity and AI in Retail | morpheus |
| Blog | 1679392253 | The NVIDIA Morpheus cybersecurity framework helps defend against spear phishing using generative AI. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-morpheus-helps-defend-against-spear-phishing-with-generative-ai/"} | Morpheus | techblog | NVIDIA Morpheus Helps Defend Against Spear Phishing with Generative AI | morpheus |
| Blog | 1678784400 | If you asked a group of cybersecurity professionals how they got into the field, you might be surprised by the answers that you receive. With military officers… | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/from-neuroscience-to-data-science-my-road-into-cybersecurity/"} | Morpheus | techblog | From Neuroscience to Data Science: My Road Into Cybersecurity | morpheus |
| Blog | 1677679200 | Learn how AI is improving your cybersecurity to detect threats faster. | false | {} |  | {"text" => "Learn more", "url" => "https://nvda.ws/41vYE4d"} | Morpheus | techblog | Top Cybersecurity Sessions at NVIDIA GTC 2023 | morpheus |
| Blog | 1675843200 | Learn how to use an NVIDIA AI workflow to uniquely fingerprint users and machines across your network in a new, free NVIDIA LaunchPad hands-on lab. | false | {} |  | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/launchpad/ai/digital-fingerprinting-to-detect-cyber-threats/#new_tab"} | LaunchPad, Morpheus | techblog | Hands-on Lab: Digital Fingerprinting to Detect Cyber Threats | morpheus |
| Blog | 1671008400 | The latest NVIDIA Cybersecurity Hackathon brought together 10 teams to create exciting cybersecurity innovations using the NVIDIA Morpheus cybersecurity AI… | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/developers-design-innovative-network-security-solutions-at-the-nvidia-cybersecurity-hackathon/"} | BlueField DPU, DOCA, Morpheus | techblog | Developers Design Innovative Network Security Solutions at the NVIDIA Cybersecurity Hackathon | morpheus |
| Blog | 1666794600 | Find out how federal agencies are adopting AI to improve cybersecurity in this November 16 webinar featuring Booz Allen Hamilton. | false | {} |  | {"text" => "Learn more", "url" => "https://info.nvidia.com/improve-your-cybersecurity-posture-with-ai.html?nvid=nv-int-tblg-746753-vt22#cid=dl24_nv-int-tblg_en-us#new_tab"} | BlueField DPU, EGX, Morpheus | techblog | Upcoming Event: Improve Your Cybersecurity Posture with AI | morpheus |
| Blog | 1664960400 | Use of stolen or compromised credentials remains at the top of the list as the most common cause of a data breach. Because an attacker is using credentials or… | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/safeguarding-networks-and-assets-with-digital-fingerprinting/"} | Morpheus | techblog | Safeguarding Networks and Assets with Digital Fingerprinting | morpheus |
| Blog | 1663846800 | The latest release of NVIDIA Morpheus includes new visualization capabilities enabling cybersecurity analysts to more quickly pinpoint and react to threats.  | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/detecting-threats-faster-with-ai-based-cybersecurity/"} | BlueField DPU, EGX, Morpheus | techblog | Detecting Threats Faster with AI-Based Cybersecurity | morpheus |
| Blog | 1660813200 | Traditional cybersecurity approaches are falling short. See how AI can help you manage risks, identify vulnerabilities, and stop breaches in your enterprise. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/addressing-cybersecurity-in-the-enterprise-with-ai/"} | Morpheus | techblog | Addressing Cybersecurity in the Enterprise with AI | morpheus |
| Blog | 1659690000 | Discover how to detect cyber threats using machine learning and NVIDIA Morpheus, an open-source AI framework.  | false | {} |  | {"text" => "Learn more", "url" => "https://info.nvidia.com/detecting-cyber-threats-with-unsupervised-learning.html?nvid=nv-int-txtad-297947-vt43#cid=dl24_nv-int-txtad_en-us#new_tab"} | BlueField DPU, EGX, Morpheus | techblog | Upcoming Webinar: Detecting Cyber Threats with Unsupervised Learning  | morpheus |
| Blog | 1656489600 | This post discusses infrastructure factors to consider, such as performance, hardware, and types of AI software for implementing a fraud prevention strategy. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/improving-enterprise-it-fraud-prevention/"} | Morpheus | techblog | Improving Enterprise IT Fraud Prevention | morpheus |
| Blog | 1652787788 | This post discusses how a thoughtful cybersecurity team can structure a zero-trust system that keeps users and data safe, and maintain a seamless user experience. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/enhancing-zero-trust-security-with-data/"} | Morpheus | techblog | Enhancing Zero Trust Security with Data | morpheus |
| Blog | 1652697379 | With NVIDIA Morpheus, now available for download, you can achieve up to 99% accuracy for phishing detection, using AI. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/designing-a-new-net-for-phishing-detection-with-nvidia-morpheus/"} | Morpheus | techblog | Designing a New Net for Phishing Detection with NVIDIA Morpheus | morpheus |
| Blog | 1652691600 | Join us on May 26 to learn how you can leverage accelerated AI frameworks to build high performance zero-trust solutions with reduced friction and fewer lines of code. | false | {} |  | {"text" => "Learn more", "url" => "https://info.nvidia.com/rethinking-zero-trust-an-ai-based-approach-to-cybersecurity.html?nvid=nv-int-txtad-883906-vt43#cid=dl24_nv-int-txtad_en-us#new_tab"} | BlueField DPU, EGX, Morpheus | techblog | Upcoming Event: Rethinking Zero-Trust: An AI-Based Approach to Cybersecurity | morpheus |
| Blog | 1648022460 | NVIDIA Morpheus, now available for download, enables you to use AI to achieve up to 1000x improved performance. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/supercharging-ai-accelerated-cybersecurity-threat-detection/"} | BlueField DPU, EGX, Morpheus | techblog | Supercharging AI-Accelerated Cybersecurity Threat Detection | morpheus |
| Blog | 1646907312 | Informative sessions on automated cyberattack prevention, power grid management from the edge, optimizing network storage, edge AI-on-5G, and addressing malware with data... | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/insiders-guide-to-gtc-cybersecurity-data-center-data-science-and-networking/"} | Morpheus, RAPIDS | techblog | Insider’s Guide to GTC: Cybersecurity, Data Center, Data Science, and Networking | morpheus |
| Blog | 1723712400 | In the era of generative AI, vector databases have become indispensable for storing and querying high-dimensional data efficiently. However, like all databases… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/bringing-confidentiality-to-vector-search-with-cyborg-and-nvidia-cuvs/"} | cuVS, Hopper, LaunchPad, RAPIDS | techblog | Bringing Confidentiality to Vector Search with Cyborg and NVIDIA cuVS | cuvs |
| Blog | 1721297403 | In the first part of the series, we presented an overview of the IVF-PQ algorithm and explained how it builds on top of the IVF-Flat algorithm… | false | {} | Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-vector-search-nvidia-cuvs-ivf-pq-performance-tuning-part-2/"} | cuVS, RAPIDS | techblog | Accelerating Vector Search: NVIDIA cuVS IVF-PQ Part 2, Performance Tuning | cuvs |
| Blog | 1721297385 | In this post, we continue the series on accelerating vector search using NVIDIA cuVS. Our previous post in the series introduced IVF-Flat, a fast algorithm for… | false | {} | Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-vector-search-nvidia-cuvs-ivf-pq-deep-dive-part-1/"} | cuVS, RAPIDS | techblog | Accelerating Vector Search: NVIDIA cuVS IVF-PQ Part 1, Deep Dive | cuvs |
| Blog | 1721137904 | Enterprises face significant challenges in making supply chain decisions that maximize profits while adapting quickly to dynamic changes. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-an-ai-agent-for-supply-chain-optimization-with-nvidia-nim-and-cuopt/"} | cuOpt, NeMo Retriever, NIM | techblog | Building an AI Agent for Supply Chain Optimization with NVIDIA NIM and cuOpt | nemo_retriever |
| Blog | 1718626409 | NVIDIA operates one of the largest and most complex supply chains in the world. The supercomputers we build connect tens of thousands of NVIDIA GPUs with… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/video-talk-to-your-supply-chain-data-using-nvidia-nim/"} | cuOpt, NeMo, NeMo Microservices, NeMo Retriever, NIM | techblog | Video: Talk to Your Supply Chain Data Using NVIDIA NIM | nemo_retriever |
| Blog | 1721722500 | The newly unveiled Llama 3.1 collection of 8B, 70B, and 405B large language models (LLMs) is narrowing the gap between proprietary and open-source models. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/customize-generative-ai-models-for-enterprise-applications-with-llama-3-1/"} | NeMo, NeMo Curator, NeMo Customizer, NeMo Evaluator, NeMo Guardrails, NeMo Retriever, NIM | techblog | Customize Generative AI Models for Enterprise Applications with Llama 3.1 | nemo_curator, nemo_retriever, nemo_guardrails, nemo_customizer, nemo_evaluator |
| Blog | 1721722500 | Meta’s Llama collection of large language models are the most popular foundation models in the open-source community today, supporting a variety of use cases. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/supercharging-llama-3-1-across-nvidia-platforms/"} | AI Enterprise, AI Foundation Models, NeMo Curator, NeMo Evaluator, NeMo Guardrails, NeMo Retriever, NIM, TensorRT | techblog | Supercharging Llama 3.1 across NVIDIA Platforms | nemo_curator, nemo_retriever, nemo_guardrails, nemo_evaluator |
| Blog | 1722934800 | Delivered as optimized containers, NVIDIA NIM microservices are designed to accelerate AI application development for businesses of all sizes… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/a-deep-dive-into-the-latest-ai-models-optimized-with-nvidia-nim/"} | NeMo Retriever, NIM | techblog | A Deep Dive into the Latest AI Models Optimized with NVIDIA NIM | nemo_retriever |
| Blog | 1722514132 | Imagine being able to put your best sales associate in front of every customer for every interaction. Your best sales associate offers product recommendations… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/deliver-personalized-retail-experiences-with-an-ai-powered-shopping-advisor/"} | NGC, NeMo, NeMo Retriever, NIM | techblog | Deliver Personalized Retail Experiences with an AI-Powered Shopping Advisor | nemo_retriever, rag |
| Blog | 1721722500 | Employing retrieval-augmented generation (RAG) is an effective strategy for ensuring large language model (LLM) responses are up-to-date and not hallucinated. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-an-agentic-rag-pipeline-with-llama-3-1-and-nvidia-nemo-retriever-nims/"} | NeMo, NeMo Microservices, NeMo Retriever, NIM | techblog | Build an Agentic RAG Pipeline with Llama 3.1 and NVIDIA NeMo Retriever NIMs | nemo_retriever, rag |
| Blog | 1721714400 | Telecom wireless network design demands streamlined processes and standardized approaches. Network architects, engineers, and IT professionals are challenged… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/automating-telco-network-design-using-nvidia-nim-and-nvidia-nemo/"} | NeMo, NeMo Guardrails, NeMo Retriever, NIM | techblog | Automating Telco Network Design using NVIDIA NIM and NVIDIA NeMo | nemo_retriever, nemo_guardrails |
| Blog | 1721714400 | Telecom companies are challenged with consistently meeting service level agreements (SLAs) for end customers that ensure network quality of service. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/transforming-telco-network-operations-centers-with-nvidia-nemo-retriever-and-nvidia-nim/"} | NeMo, NeMo Guardrails, NeMo Retriever, NIM | techblog | Transforming Telco Network Operations Centers with NVIDIA NeMo Retriever and NVIDIA NIM | nemo_retriever, nemo_guardrails |
| Blog | 1704348000 | Data scientists are combining generative AI and predictive analytics to build the next generation of AI applications. In financial services… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-inference-on-end-to-end-workflows-with-h2o-ai-and-nvidia/"} | NeMo Guardrails, NeMo Retriever, RAPIDS, Triton Inference Server, Dynamo | techblog | Accelerating Inference on End-to-End Workflows with H2O.ai and NVIDIA | nemo_guardrails |
| Blog | 1700035200 | Large language models (LLMs) are revolutionizing data science, enabling advanced capabilities in natural language understanding, AI, and machine learning. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-ai-foundation-models-build-custom-enterprise-chatbots-and-co-pilots-with-production-ready-llms/"} | NeMo Guardrails | techblog | NVIDIA AI Foundation Models: Build Custom Enterprise Chatbots and Co-Pilots with Production-Ready LLMs | nemo_guardrails |
| Blog | 1693303200 | Generative AI has become a transformative force of our era, empowering organizations spanning every industry to achieve unparalleled levels of productivity… | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/streamline-generative-ai-development-with-nvidia-nemo-on-gpu-accelerated-google-cloud/"} | NeMo Guardrails | techblog | Streamline Generative AI Development with NVIDIA NeMo on GPU-Accelerated Google Cloud | nemo_guardrails |
| Session | 1780650582 | Learn how to build applications that deliver on the expectations of what serious LLM-based RAG applications with concepts like hybrid retriever, RAG evaluation, and more. | false | {"dlss_practitioner":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc24-dlit63076/"} | Triton Inference Server, TensorRT, Dynamo | spreadsheet |  Techniques for Improving the Effectiveness of RAG Systems | dlss_practitioner |
| Session | 1780650582 | Get best practice for production-level RAG deployment - from infrastructure sizing to breaking down end-to-end Helm-based deployment to customizing individual pipeline components. | false | {"dlss_practitioner":false} | Intermediate | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc24-dlit63054/"} | Triton Inference Server, TensorRT, NeMo, Dynamo | spreadsheet |  Large-Scale Production Deployment of RAG Pipelines | dlss_practitioner |
| Session | 1780650582 | Learn how to use the NVIDIA cuOpt cloud service to find the most optimal routes for a heterogeneous fleet of vehicles making deliveries, pickups, dispatching jobs, and more. | true | {"morpheus":true} | Intermediate | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc24-dlit62051/"} | cuOpt | spreadsheet | Use a Route Optimization Cloud Service | morpheus |
| Session | 1780650379 | Learn how to use large language models, generative AI, retrieval-augmented generation, and machine learning techniques to dramatically strengthen your cybersecurity posture. | false | {"cuvs":true,"morpheus":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc24-se62821/"} | Morpheus | spreadsheet | Cybersecurity Developer Day | omniverse, morpheus, cuvs |
| Session | 1780650582 | Learn how to build LLM-powered agents to answer nuanced questions and understand concepts behind building these agents along with some advanced RAG techniques. | false | {"dlss_practitioner":false} | Intermediate | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc24-s62533/"} |  | spreadsheet |  Building Agents, Co-Pilots, Assistants, and More! | dlss_practitioner |
| Webinar | 1780650582 | RAG represents a groundbreaking leap in AI technology, offering businesses an opportunity to leverage the power of domain-specific, real-time data like never before. | false | {"dlss_practitioner":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/other2023-genairag/"} |  | spreadsheet |  Building Intelligent AI Chatbots Using RAG | dlss_practitioner |
| Samples | 1780650582 | Use an NVIDIA AI reference workflow to build AI chatbots powered by large language models that can accurately answer questions about your enterprise data. | false | {"dlss_practitioner":false,"nemo_curator":false} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/aiworkflows/collections/ai-chatbot-with-rag"} | NeMo Retriever, TensorRT, TensorRT-LLM, Triton Inference Server, Dynamo | spreadsheet | AI Chatbot With Retrieval-Augmented Generation AI Workflow | nemo_curator, dlss_practitioner |
| Model | 1733260447 | People semantic segmentation network, finetuned on robotics AMR dataset, optimized for Issac Perceptor & Nvblox. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/isaac/models/optimized-peoplesemseg-amr"} |  | ngc | PeopleSemSeg AMR | inference |
| Container | 1779291724 | An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/cloud-native/containers/k8s-nim-operator"} |  | ngc | NVIDIA NIM Operator | inference, nim, cybersecurity, cosmos, rag |
| Container | 1762444281 | Triton Inference Server Production Branch October 2024 (PB 24h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tritonserver-pb24h2"} |  | ngc | Triton Inference Server PB October 2024 (PB 24h2) | inference |
| Container | 1775102020 | Triton Inference Server is an open source software that lets teams deploy trained AI models from any framework, from local or cloud storage and on any GPU- or CPU-based infrastructure in the cloud, data center, or embedded devices. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tritonserver-ltsb2"} |  | ngc | Triton Inference Server Long-Term Support Branch 2 (LTSB 2) | inference |
| Container | 1762444236 | NVIDIA Morpheus Production Branch October 2024 (PB 24h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/morpheus-pb24h2"} |  | ngc | NVIDIA Morpheus PB October 2024 (PB 24h2) | cybersecurity, cuvs, morpheus |
| Container | 1769012231 | The Vulnerability Analysis for Container Security is a NIM Agent Blueprint that dramatically accelerates vulnerability detection and mitigation with generative AI and the Morpheus cybersecurity SDK.  | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/containers/morpheus-vuln-analysis"} |  | ngc | NIM Agent Blueprint for Vulnerability Analysis | cybersecurity, cuvs, morpheus |
| Container | 1769012227 | The Morpheus Triton Server Models Container builds upon the NVIDIA Triton Inference Server container by adding the Morpheus pre-trained models. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/containers/morpheus-tritonserver-models"} |  | ngc | Morpheus Triton Server Models | cybersecurity, cuvs, morpheus |
| Container | 1762444262 | NVIDIA RAPIDS Production Branch October 2024 (PB 24h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/rapids-pb24h2"} |  | ngc | NVIDIA RAPIDS PB October 2024 (PB 24h2) | morpheus |
| Container | 1775100684 | The NVIDIA RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science, machine learning and analytics pipelines entirely on GPUs. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/rapids-ltsb2"} |  | ngc | Rapids LTSB 2 | morpheus |
| Model | 1731434248 | Nemotron-4-340B-Base | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/nemotron-4-340b-base"} |  | ngc | Nemotron-4-340B-Base | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Model | 1696600327 | Arabic Conformer ASR model trained on RIVA ASR set | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/speechtotext_ar_ar_conformer"} | TAO Toolkit | ngc | RIVA Conformer ASR Arabic | riva, conversational_ai, generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Model | 1696603956 | For each word in the input text, the model: predicts a punctuation mark that should follow the word (if any). | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/punctuationcapitalization_ja_jp_bert_base"} | TAO Toolkit | ngc | RIVA Punctuation | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Model | 1696600349 | Riva Marblenet Voice Activity Detection | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/voiceactivitydetection_marblenet"} | TAO Toolkit | ngc | Riva Marblenet Voice Activity Detection | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Model | 1696600477 | For each word in the input text, the model predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/punctuationcapitalization_ar_ar_bert_base"} | TAO Toolkit | ngc | RIVA Punctuation for Arabic | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Model | 1696600625 | For each word in the input text, the model: predicts a punctuation mark that should follow the word (if any). | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/punctuationcapitalization_it_it_bert_base"} | TAO Toolkit | ngc | RIVA Punctuation | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Model | 1696600267 | Hindi Conformer ASR model trained on ASR set 2.0 | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/speechtotext_hi_in_conformer"} | TAO Toolkit | ngc | RIVA Conformer ASR Hindi - ASR set 2.0 | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Model | 1696600699 | For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods, hyphens and question marks) and 2) predicts if the word should be capitalized or not. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/punctuationcapitalization_fr_fr_bert_base"} | TAO Toolkit | ngc | RIVA Punctuation and Capitalization for French | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Model | 1696600558 | Hindi Citrinet ASR model trained on ASR set 1.0 | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/speechtotext_hi_in_citrinet"} | TAO Toolkit | ngc | RIVA Citrinet ASR Hindi (hi-IN) - ASR set 1.0 | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Model | 1696600677 | For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/punctuationcapitalization_pt_br_bert_base"} | TAO Toolkit | ngc | RIVA Punctuation and Capitalization for Brazilian Portuguese | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Model | 1696600410 | For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/punctuationcapitalization_ko_kr_bert_base"} | TAO Toolkit | ngc | RIVA Punctuation and Capitalization for Korean | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Model | 1696603948 | For each word in the input text, the model predicts a punctuation mark that should follow the word (if any), the model supports commas, poornvirams, exclaimation marks and question marks. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/punctuationcapitalization_hi_in_bert_base"} | TAO Toolkit | ngc | RIVA Punctuation and Capitalization for Hindi | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Blog | 1734339600 | Building a multimodal retrieval-augmented generation (RAG) system is challenging. The difficulty comes from capturing and indexing information from across… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/an-easy-introduction-to-multimodal-retrieval-augmented-generation-for-video-and-audio/"} | Riva | techblog | An Easy Introduction to Multimodal Retrieval-Augmented Generation for Video and Audio | riva |
| Blog | 1731516803 | When interfacing with generative AI applications, users have multiple communication options—text, voice, or through digital avatars. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/expanding-ai-agent-interface-options-with-2d-and-3d-digital-human-avatars/"} | Avatar Cloud Engine (ACE), Audio2Face, NeMo Microservices, NeMo Retriever, NIM, NIM Agent Blueprint, Omniverse, Riva | techblog | Expanding AI Agent Interface Options with 2D and 3D Digital Human Avatars | riva, nemo_retriever |
| Blog | 1727271000 | Providing customers with quality service remains a top priority for businesses across industries, from answering questions and troubleshooting issues to… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-a-digital-human-interface-for-ai-apps-with-an-nvidia-nim-agent-blueprint/"} | AI Enterprise, Avatar Cloud Engine (ACE), NIM, Riva | techblog | Build a Digital Human Interface for AI Apps with an NVIDIA NIM Agent Blueprint | riva, conversational_ai |
| Blog | 1733932156 | In today’s fast-paced business environment, providing exceptional customer service is no longer just a nice-to-have—it’s a necessity. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/three-building-blocks-for-creating-ai-virtual-assistants-for-customer-service-with-an-nvidia-nim-agent-blueprint/"} | NeMo, NeMo Microservices, NeMo Retriever, NIM | techblog | Three Building Blocks for Creating AI Virtual Assistants for Customer Service with an NVIDIA AI Blueprint | conversational_ai, nemo_retriever, rag |
| Blog | 1732006800 | In the dynamic world of modern business, where communication and efficient workflows are crucial for success, AI-powered solutions have become a competitive… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/create-a-custom-slackbot-llm-agent-with-nvidia-nim-and-langchain/"} | NIM | techblog | Create a Custom Slackbot LLM Agent with NVIDIA NIM and LangChain | conversational_ai |
| Blog | 1730106000 | The rapid development of solutions using retrieval augmented generation (RAG) for question-and-answer LLM workflows has led to new types of system architectures. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/creating-rag-based-question-and-answer-llm-workflows-at-nvidia/"} | NIM | techblog | Creating RAG-Based Question-and-Answer LLM Workflows at NVIDIA | conversational_ai |
| Blog | 1729512935 | Today, IBM released the third generation of IBM Granite, a collection of open language models and complementary tools. Prior generations of Granite focused on… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/ibms-new-granite-3-0-generative-ai-models-are-small-yet-highly-accurate-and-efficient/"} | NIM | techblog | IBM’s New Granite 3.0 Generative AI Models Are Small, Yet Highly Accurate and Efficient | conversational_ai |
| Blog | 1729069200 | In the rapidly evolving landscape of AI and data science, the demand for scalable, efficient, and flexible infrastructure has never been higher. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/simplify-ai-application-development-with-nvidia-cloud-native-stack/"} | AI Enterprise, NIM | techblog | Simplify AI Application Development with NVIDIA Cloud Native Stack | conversational_ai |
| Blog | 1780650582 | Learn to integrate NVIDIA NIM and NeMo Guardrails for building secure, trustworthy generative AI applications. | false | {"nemo_evaluator":false} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/securing-generative-ai-deployments-with-nvidia-nim-and-nvidia-nemo-guardrails/"} | NeMo Guardrails, NeMo, NeMo Retriever, NIM | spreadsheet | Secure Generative AI with NVIDIA NIM and NeMo Guardrails | nemo_evaluator |
| Blog | 1780650582 | Learn to build secure, trustworthy RAG apps using LangChain Templates and NeMo Guardrails. | true | {"nemo_evaluator":true} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-safer-llm-apps-with-langchain-templates-and-nvidia-nemo-guardrails/"} | NeMo Guardrails, NeMo | spreadsheet | NeMo Guardrails and LangChain Templates | nemo_evaluator |
| Blog | 1734422400 | Efficient text retrieval is critical for a broad range of information retrieval applications such as search, question answering, semantic textual similarity… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/develop-multilingual-and-cross-lingual-information-retrieval-systems-with-efficient-data-storage/"} | NeMo Retriever, NIM | techblog | Develop Multilingual and Cross-Lingual Information Retrieval Systems with Efficient Data Storage | nemo_retriever, rag |
| Blog | 1733997449 | As global electricity demand continues to rise, traditional sources of energy are increasingly unsustainable. Energy providers are facing pressure to reduce… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/advancing-solar-irradiance-prediction-with-nvidia-earth-2/"} | AI Enterprise, PhysicsNeMo, NIM, Omniverse | techblog | Advancing Solar Irradiance Prediction with NVIDIA Earth-2 | usd_resources |
| Blog | 1733477031 | Content moderation has become essential in retrieval-augmented generation (RAG) applications powered by generative AI, given the extensive volume of user… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/content-moderation-and-safety-checks-with-nvidia-nemo-guardrails/"} | NeMo Guardrails, NIM | techblog | Content Moderation and Safety Checks with NVIDIA NeMo Guardrails | nemo_guardrails |
| Blog | 1733221800 | The evolution of modern application development has led to a significant shift toward microservice-based architectures. This approach offers great flexibility… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/automate-early-security-patching-in-ci-pipelines-on-aws-using-nvidia-ai-blueprints/"} | Morpheus, NIM | techblog | Automate Early Security Patching in CI Pipelines on AWS Using NVIDIA AI Blueprints | morpheus |
| Blog | 1728972000 | As enterprises increasingly adopt AI technologies, they face a complex challenge of efficiently developing, securing, and continuously improving AI applications… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/datastax-announces-new-ai-development-platform-built-with-nvidia-ai/"} | AI Enterprise, NeMo, NeMo Curator, NeMo Customizer, NeMo Evaluator, NeMo Guardrails, NeMo Microservices, NeMo Retriever, NIM | techblog | DataStax Announces New AI Development Platform, Built with NVIDIA AI | nemo_curator, nemo_retriever, nemo_guardrails, nemo_customizer, nemo_evaluator |
| Blog | 1728554081 | Mobile communication standards play a crucial role in the telecommunications ecosystem by harmonizing technology protocols to facilitate interoperability… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/advanced-rag-techniques-for-telco-o-ran-specifications-using-nvidia-nim-microservices/"} | NeMo, NeMo Guardrails, NeMo Retriever, NIM | techblog | Advanced RAG Techniques for Telco O-RAN Specifications Using NVIDIA NIM Microservices | nemo_retriever, rag, nemo_guardrails |
| Blog | 1728374400 | Addressing software security issues is becoming more challenging as the number of vulnerabilities reported in the CVE database continues to grow at an… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/rapidly-triage-container-security-with-the-vulnerability-analysis-nvidia-nim-agent-blueprint/"} | Morpheus, NIM | techblog | Rapidly Triage Container Security with the Vulnerability Analysis NVIDIA NIM Agent Blueprint | morpheus |
| Blog | 1727343355 | Modern cyber threats have grown increasingly sophisticated, posing significant risks to federal agencies and critical infrastructure. According to Deloitte… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/harnessing-data-with-ai-to-boost-zero-trust-cyber-defense/"} | Morpheus, NeMo, NeMo Retriever, NIM | techblog | Harnessing Data with AI to Boost Zero Trust Cyber Defense | morpheus, nemo_retriever |
| Blog | 1748905200 | Note: This blog post was originally published on Oct. 28, 2024, but has been edited to reflect new updates. Fraud in financial services is a massive problem. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/supercharging-fraud-detection-in-financial-services-with-graph-neural-networks/"} | AI Enterprise, Morpheus, RAPIDS | techblog | Supercharging Fraud Detection in Financial Services with Graph Neural Networks (Updated) | morpheus, data_science |
| Blog | 1729767736 | Every day, security operation center (SOC) analysts receive an overwhelming amount of incoming security alerts. To ensure the continued safety of their… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/augmenting-security-operations-centers-with-accelerated-alert-triage-and-llm-agents-using-nvidia-morpheus/"} | Morpheus, NeMo Retriever | techblog | Augmenting Security Operations Centers with Accelerated Alert Triage and LLM Agents Using NVIDIA Morpheus | morpheus, nemo_retriever |
| Blog | 1780650379 | Learn how to use generative AI to accelerate security vulnerability analysis using AI agents and retrieval-augmented generation. | true | {"cuvs":true,"omniverse":true} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/applying-generative-ai-for-cve-analysis-at-an-enterprise-scale/"} | Morpheus | spreadsheet | Applying Generative AI for CVE Analysis | omniverse, cuvs |
| Blog | 1780650379 | Learn how to use NVIDIA Morpheus cybersecurity AI framework to identify threats in Linux audit logs. | true | {"cuvs":false,"omniverse":true} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/enhancing-anomaly-detection-in-linux-audit-logs-with-ai/"} | Morpheus | spreadsheet | Enhancing Anomaly Detection in Linux Audit Logs | omniverse, cuvs |
| Blog | 1732021453 | Open-source large language models (LLMs) excel in English but struggle with other languages, especially the languages of Southeast Asia. This is primarily due… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/processing-high-quality-vietnamese-language-data-with-nvidia-nemo-curator/"} | NeMo, NeMo Curator | techblog | Processing High-Quality Vietnamese Language Data with NVIDIA NeMo Curator | nemo_curator |
| Blog | 1731492306 | Training and customizing LLMs for high accuracy is fraught with challenges, primarily due to their dependency on high-quality data. Poor data quality and… | false | {} | Intermediate, Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/mastering-llm-techniques-data-preprocessing/"} | NeMo, NeMo Curator | techblog | Mastering LLM Techniques: Text Data Processing | nemo_curator |
| Blog | 1730880000 | Generative AI has rapidly evolved from text-based models to multimodal capabilities. These models perform tasks like image captioning and visual question… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/state-of-the-art-multimodal-generative-ai-model-development-with-nvidia-nemo/"} | NeMo, NeMo Curator | techblog | State-of-the-Art Multimodal Generative AI Model Development with NVIDIA NeMo | nemo_curator |
| Blog | 1730118229 | Learn how to build scalable data processing pipelines to create high-quality datasets. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://nvda.ws/3UreHhQ#new_tab"} | NeMo, NeMo Curator | techblog | Upcoming Webinar: Enhance Generative AI Model Accuracy Through High-Quality Data Processing | nemo_curator |
| Blog | 1780650582 | Zyphra has open-sourced Zyda-2, a massive 5 trillion high-quality tokens dataset processed with NVIDIA NeMo Curator, perfect for training high-accuracy LLMs. | true | {"nemo_customizer":true} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/train-highly-accurate-llms-with-the-zyda-2-open-5t-token-dataset-processed-with-nvidia-nemo-curator/"} | NeMo Curator, NeMo | spreadsheet | Train Highly Accurate LLMs with the Zyda-2 | nemo_customizer |
| Blog | 1728032400 | NeMo Curator now supports images, enabling you to process data for training accurate generative AI models. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://nvda.ws/4ePqHkD#new_tab"} | NeMo, NeMo Curator | techblog | Just Released: NVIDIA NeMo Curator Improvements for Accelerating Data Curation | nemo_curator |
| Blog | 1725960600 | Domain-adaptive pretraining (DAPT) of large language models (LLMs) is an important step towards building domain-specific models. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/streamlining-data-processing-for-domain-adaptive-pretraining-with-nvidia-nemo-curator/"} | NeMo, NeMo Curator | techblog | Streamlining Data Processing for Domain Adaptive Pretraining with NVIDIA NeMo Curator | nemo_curator |
| Blog | 1722416400 | In a recent post, we discussed how to use NVIDIA NeMo Curator to curate custom datasets for pretraining or continuous training use cases of large language… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/curating-custom-datasets-for-llm-parameter-efficient-fine-tuning-with-nvidia-nemo-curator/"} | NeMo, NeMo Curator | techblog | Curating Custom Datasets for LLM Parameter-Efficient Fine-Tuning with NVIDIA NeMo Curator | nemo_curator |
| Blog | 1720602000 | Data curation plays a crucial role in the development of effective and fair large language models (LLMs). High-quality, diverse training data directly impacts… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/curating-non-english-datasets-for-llm-training-with-nvidia-nemo-curator/"} | NeMo, NeMo Curator | techblog | Curating Non-English Datasets for LLM Training with NVIDIA NeMo Curator | nemo_curator |
| Blog | 1716285600 | Data curation is the first, and arguably the most important, step in the pretraining and continuous training of large language models (LLMs) and small language… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/curating-custom-datasets-for-llm-training-with-nvidia-nemo-curator/"} | NeMo, NeMo Curator | techblog | Curating Custom Datasets for LLM Training with NVIDIA NeMo Curator | nemo_curator |
| Blog | 1711537200 | Enterprises are using large language models (LLMs) as powerful tools to improve operational efficiency and drive innovation. NVIDIA NeMo microservices aim to… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/scale-and-curate-high-quality-datasets-for-llm-training-with-nemo-curator/"} | DGX Cloud, NeMo, NeMo Curator, NeMo Customizer | techblog | Scale and Curate High-Quality Datasets for LLM Training with NVIDIA NeMo Curator | nemo_curator, nemo_customizer |
| Blog | 1710774240 | Across the globe, enterprises are realizing the benefits of generative AI models. They are racing to adopt these models in various applications… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/simplify-custom-generative-ai-development-with-nvidia-nemo-microservices/"} | NeMo, NeMo Curator, NeMo Customizer, NeMo Evaluator | techblog | Simplify Custom Generative AI Development with NVIDIA NeMo Microservices | nemo_curator, nemo_customizer, nemo_evaluator |
| Blog | 1691494380 | The latest developments in large language model (LLM) scaling laws have shown that when scaling the number of model parameters, the number of tokens used for… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/curating-trillion-token-datasets-introducing-nemo-data-curator/"} | NeMo Curator | techblog | Curating Trillion-Token Datasets: Introducing NVIDIA NeMo Data Curator | nemo_curator |
| Blog | 1780650582 | Get an overview of how an information retrieval pipeline works, selecting NIM microservices for your retrieval pipeline, and how to get started. | true | {"nemo_curator":true} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/develop-production-grade-text-retrieval-pipelines-for-rag-with-nvidia-nemo-retriever/"} | NeMo Retriever, NeMo Microservices, NIM | spreadsheet | Develop Production-Grade Text Retrieval Pipelines for RAG | nemo_curator |
| Blog | 1718013600 | The latest embedding model from NVIDIA—NV-Embed—set a new record for embedding accuracy with a score of 69.32 on the Massive Text Embedding Benchmark (MTEB)… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-text-embedding-model-tops-mteb-leaderboard/"} | AI Enterprise, NeMo Retriever | techblog | NVIDIA Text Embedding Model Tops MTEB Leaderboard | nemo_retriever, rag |
| Blog | 1715158800 | Retrieval-augmented generation (RAG) is a technique that combines information retrieval with a set of carefully designed system prompts to provide more accurate… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/tips-for-building-a-rag-pipeline-with-nvidia-ai-langchain-ai-endpoints/"} | AI Foundation Models, NeMo Retriever | techblog | Tips for Building a RAG Pipeline with NVIDIA AI LangChain AI Endpoints | nemo_retriever, rag |
| Blog | 1710932400 | A retrieval-augmented generation (RAG) application has exponentially higher utility if it can work with a wide variety of data types—tables, graphs, charts… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/an-easy-introduction-to-multimodal-retrieval-augmented-generation/"} | General, NeMo Retriever | techblog | An Easy Introduction to Multimodal Retrieval-Augmented Generation | nemo_retriever, rag |
| Blog | 1710774000 | In the era of generative AI, where machines are not just learning from data but generating human-like text, images, video, and more… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/scaling-enterprise-rag-with-accelerated-ethernet-networking-and-networked-storage/"} | NeMo, NeMo Retriever | techblog | Scaling Enterprise RAG with Accelerated Ethernet Networking and Networked Storage | nemo_retriever, rag |
| Blog | 1780650582 | Get an overview of NeMo Retriever, use cases, and how to get started. | true | {"nemo_curator":true} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/translate-your-enterprise-data-into-actionable-insights-with-nvidia-nemo-retriever/"} | NeMo Retriever, NeMo, NeMo Microservices, NIM, TensorRT, Triton Inference Server, Dynamo | spreadsheet | Translate Your Enterprise Data into Actionable Insights | nemo_curator |
| Blog | 1708686146 | The conversation about designing and evaluating Retrieval-Augmented Generation (RAG) systems is a long, multi-faceted discussion. Even when we look at retrieval… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/evaluating-retriever-for-enterprise-grade-rag/"} | NeMo, NeMo Retriever | techblog | Evaluating Retriever for Enterprise-Grade RAG | nemo_retriever, rag |
| Blog | 1702899882 | Data scientists, AI engineers, MLOps engineers, and IT infrastructure professionals must consider a variety of factors when designing and deploying a RAG… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/rag-101-retrieval-augmented-generation-questions-answered/"} | NeMo Guardrails, NeMo Retriever, TensorRT, Triton Inference Server, Dynamo | techblog | RAG 101: Retrieval-Augmented Generation Questions Answered | nemo_guardrails |
| Blog | 1701166250 | Large language models (LLMs) are transforming the AI landscape with their profound grasp of human and programming languages. Essential for next-generation… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-enterprise-retrieval-augmented-generation-apps-with-nvidia-retrieval-qa-embedding-model/"} | NeMo, NeMo Retriever | techblog | Build Enterprise Retrieval-Augmented Generation Apps with NVIDIA Retrieval QA Embedding Model | rag |
| Blog | 1740476869 | Generative AI, powered by advanced machine learning models and deep neural networks, is revolutionizing industries by generating novel content and driving… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-deep-learning-institute-releases-new-generative-ai-teaching-kit/"} | General, NeMo Guardrails | techblog | NVIDIA Deep Learning Institute Releases New Generative AI Teaching Kit | nemo_guardrails |
| Blog | 1702979421 | NVIDIA developments in generative AI, large language models, high-performance computing are transforming AI solutions and sparking reader interest. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/year-in-review-trending-posts-of-2023-2/"} | DGX, Grace CPU, Jetson, Jetson Orin, Maxine, NeMo Guardrails, TensorRT, TensorRT-LLM | techblog | Most Popular NVIDIA Technical Blog Posts of 2023: Generative AI, LLMs, Robotics, and Virtual Worlds Breakthroughs | nemo_guardrails, maxine |
| Blog | 1691494511 | Generative AI has introduced a new era in computing, one promising to revolutionize human-computer interaction. At the forefront of this technological marvel… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/unlocking-the-power-of-enterprise-ready-llms-with-nemo/"} | NeMo, NeMo Guardrails | techblog | Unlocking the Power of Enterprise-Ready LLMs with NVIDIA NeMo | nemo_guardrails |
| Blog | 1691139950 | Explore how information retrieval systems may be used to perpetrate prompt injection attacks and how application developers can mitigate this risk. | false | {} | Beginner, Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/mitigating-stored-prompt-injection-attacks-against-llm-applications/"} | General, NeMo Guardrails | techblog | Mitigating Stored Prompt Injection Attacks Against LLM Applications | nemo_guardrails |
| Blog | 1685305800 | Use NVIDIA ACE for Games to build and deploy customized speech, conversation, and animation AI models in software and games. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/generative-ai-sparks-life-into-virtual-characters-with-ace-for-games/"} | Avatar Cloud Engine (ACE), Audio2Face, DGX, NeMo Guardrails | techblog | Generative AI Sparks Life into Virtual Characters with NVIDIA ACE for Games | nemo_guardrails |
| Blog | 1682672400 | Develop safe and trustworthy LLM conversational applications with NVIDIA NeMo Guardrails, an open-source toolkit that enables programmable guardrails for defining desired... | false | {} |  | {"text" => "Learn more", "url" => "https://nvda.ws/3Hmqvex#new_tab"} | NeMo Guardrails | techblog | Now Available: NVIDIA NeMo Guardrails | nemo_guardrails |
| Blog | 1682402400 | Large language models (LLMs) are incredibly powerful and capable of answering complex questions, performing feats of creative writing, developing… | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-enables-trustworthy-safe-and-secure-large-language-model-conversational-systems/"} | NeMo Guardrails | techblog | NVIDIA Enables Trustworthy, Safe, and Secure Large Language Model Conversational Systems | nemo_guardrails |
| Session | 1780650377 | Learn how to use speech and translation AI with LLMs and RAG applications and transform chatbots into powerful multilingual virtual assistants and avatars. | true | {"dlss_practitioner":false,"inference":true} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc24-se62869/"} | NeMo, Riva | spreadsheet | Speech and Generative AI Developer Day | inference, dlss_practitioner |
| Video | 1780650377 | Watch how to use Riva to build world-class, fully customizable, speech AI applications such as intelligent virtual assistants, audio transcription services, digital avatars, and more. | false | {"inference":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=jZ5TQs7NihU"} | Riva | spreadsheet | NVIDIA Riva: Speech AI For Transcription And Translation | inference |
| Documentation | 1780650377 | Explore everything you need to get started with Riva including a quick start guide, release notes, best practices, tutorials, sample applications, a support matrix and more. | false | {"inference":false} | General Interest, Beginner, Intermediate, Advanced | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/index.html"} | Riva | spreadsheet | NVIDIA Riva Documentation | inference |
| Guide | 1780650377 | Get step-by-step instructions for deploying pretrained models as services on a local workstation and how to interact with them through a client. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/quick-start-guide.html"} | Riva | spreadsheet | NVIDIA Riva Quickstart Guide | inference |
| Tutorial | 1780650377 | Get comprehensive updates on the latest features, improvements, and bug fixes for Riva. | false | {"inference":false,"maxine":false,"rtx_kit_practitioner":false} | General Interest, Beginner, Intermediate, Advanced | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/release-notes.html"} | Riva | spreadsheet | NVIDIA Riva Release Notes | inference, rtx_kit_practitioner, maxine |
| Tutorial | 1780650377 | Explore a foundational overview of implementing automatic speech recognition using Riva, covering setup, configuration, and deployment of pre-trained models. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-basics.html#"} | Riva | spreadsheet | How Do I Use Riva ASR Apis With Out-Of-The-Box Models? | inference |
| Tutorial | 1780650377 | Explore the process of creating custom speech hint grammars for use in inverse text normalization. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-customize-speechhints.html"} | Riva | spreadsheet | Creating Grammars For Speech Hints | inference |
| Tutorial | 1780650377 | Walk through the process of customizing Riva ASR vocabulary and lexicon, in order to improve Riva vacabulary coverage and recognition of difficult words, such as acronyms. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-customize-vocabulary-and-lexicon.html"} | Riva | spreadsheet | Customize Riva ASR: Lexicon Mapping Tips | inference |
| Tutorial | 1780650377 | Get a guide on how to deploy ASR with both an Acoustic Model (AM) and an N-gram Language Model (LM), including the setup and configuration process. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-deploy-am-and-ngram-lm.html"} | Riva | spreadsheet | Deploy NeMo N-Gram Model On Riva | inference |
| Tutorial | 1780650377 | Get instructions for setting up and configuring Citrinet, a state of the art neural network architecture, empowering developers to intergrate advanced ASR capabilities into their apps. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-deploy-citrinet.html"} | Riva | spreadsheet | Deploy NeMo Citrinet Acoustic Model On Riva | inference |
| Tutorial | 1780650377 | Learn how to deploy ASR using Conformer and Connectionist Temporal Classification (CTC), enabling developers to integrate robust ASR functionally into their application with ease. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-deploy-conformer-ctc.html"} | Riva | spreadsheet | Deploy NeMo Conformer - CTC Model On Riva | inference |
| Tutorial | 1780650377 | Get instructions for deploying ASR using Conformer models and Weighted Finite State Transducers (WFST), empowering developers to seamlesly integrate these powerful ASR capabilities. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-deploy-conformer-wfst.html"} | Riva | spreadsheet | Deploy Conformer - CTC Acoustic Model On Riva | inference |
| Tutorial | 1780650377 | Explore the process of fine tuning ASR models with Conformer and CTC adpater using NeMo, including instructions for setting up and executing the fine tuning process. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-finetune-conformer-ctc-adapter-nemo.html"} | Riva | spreadsheet | Customize Riva ASR With Conformer - CTC Adapters | inference |
| Tutorial | 1780650377 | Get step-by--step instructions for fine tuning ASR models with Conformer and CTC adpater using NeMo. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-finetune-conformer-ctc-nemo.html"} | Riva | spreadsheet | How To Fine-Tune A Riva ASR Acoustic Model With NVIDIA NeMo | inference |
| Tutorial | 1780650377 | This tutorial offers practical techniques and startegies for fine-tuning models to prioritize recognition of targeted vocabulary. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-improve-recognition-for-specific-words.html"} | Riva | spreadsheet | How To Improve Recognition Of Specific Words | inference |
| Tutorial | 1780650377 | This tutorial provides a comprehensive guide, including the setup and implementation process, for leveraging WFST with Class LM in Riva. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/nvidia-riva/tutorials/blob/main/wfst_class_lm.md"} | Riva | spreadsheet | How To Improve Recognition Of Specific Words Using WFST | inference |
| Tutorial | 1780650377 | This tutorial walks you through some of the advanced customization features of the Riva ASR pipeline by fine-tuning the acoustic model (Conformer-CTC). | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/nvidia-riva/tutorials/blob/main/asr-noise-augmentation.ipynb"} | Riva | spreadsheet | Enhancing Noisy Speech Accuracy: Conformer | inference |
| Tutorial | 1780650377 | Read the step-by-step, end-to-end process that NVIDIA engineers and data scientists employed to develop the Riva German automatic speech recognition (ASR) service. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/nvidia-riva/tutorials/tree/main/Language-Scaling/German"} | Riva | spreadsheet | The Making Of A Riva German ASR Service | inference |
| Tutorial | 1780650377 | This tutorial walks you through some of the advanced features for customization of Riva Speech Skills ASR Services at runtime with word boosting. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/nvidia-riva/tutorials/blob/main/asr-wordboosting.ipynb"} | Riva | spreadsheet | How To Boost Specific Words At Runtime With Word Boosting | inference |
| Tutorial | 1780650377 | This notebook walks you through the end-to-end process that NVIDIA engineers and data scientists employed to develop the Riva Hindi ASR service. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/nvidia-riva/tutorials/tree/main/Language-Scaling/Hindi"} | Riva | spreadsheet | The Making Of Riva Hindi ASR Service | inference |
| Tutorial | 1780650377 | Walk through the end-to-end process that NVIDIA engineers and data scientists employed to develop the Riva Mandarin ASR service. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/nvidia-riva/tutorials/tree/main/Language-Scaling/Mandarin"} | Riva | spreadsheet | The Making Of Riva Mandarin ASR Service | inference |
| Tutorial | 1780650377 | Read the process of offline noise augmentation for ASR and get step-by-step instructions for augmenting speech data with various noise types. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-noise-augmentation-offline.html"} | Riva | spreadsheet | Synthesize Noisy Dataset For ASR Training | inference |
| Tutorial | 1780650377 | Walk through some of the advanced customization features of the Riva ASR pipeline by fine-tuning the aucoustic model (Conformer-CTC). | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-noise-augmentation.html"} | Riva | spreadsheet | Fine - Tune Conformer - CTC For Noisy Speech In Riva | inference |
| Tutorial | 1780650377 | Devle into advanced Python techniques for ASR, leveraging NeMo and N-gram training/finetuning and get a comprehensive guidance on implementing and optimizing ASR models with Python. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-python-advanced-nemo-ngram-training-and-finetuning.html"} | Riva | spreadsheet | Train, Evaluate, And Fine-Tune An N-Gram Language Model | inference |
| Tutorial | 1780650377 | Explores speaker diarization techniques for ASR and get practical guidance on implementing speaker diarization algorithms to identify and differentiate speakers in audio data. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-speaker-diarization.html"} | Riva | spreadsheet | How Do I Use Speaker Diarization With Riva ASR? | inference |
| Tutorial | 1780650377 | Explore word boosting techniques for ASR and get practical guidance on enhancing recognition accuracy by prioritizing specific words or phrases during transcription. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-wordboosting.html"} | Riva | spreadsheet | How Do I Boost Specific Words At Runtime With Word Boosting? | inference |
| Tutorial | 1780650377 | Get a detailed walkthrough of integrating WFST with Class LM including instructions for setting up and utilizing WFST techniques to enhance language modeling capabilities. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/wfst_class_lm.html"} | Riva | spreadsheet | Class - Based N-Gram Support In Riva (WFST Decoder) | inference |
| Tutorial | 1780650377 | Explore the process of deploying Riva models to Azure Kubernetes Service (AKS) and get instructions for setting up and managing Riva deployments on AKS. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/deploy-aks.html"} | Riva | spreadsheet | How Do I Deploy Riva At Scale On Azure Cloud With AKS? | inference |
| Tutorial | 1780650377 | Read the process of deploying Riva models to Amazon Elastic Kubernetes Service (EKS) and get step-by-step instructions for setting up and managing Riva deployments on EKS. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/deploy-eks.html"} | Riva | spreadsheet | How To Deploy Riva At Scale On AWS With EKS | inference |
| Tutorial | 1780650377 | Learn how to deploy Riva models to Google Kubernetes Engine (GKE) and get instructions for setting up and managing Riva deployments on GKE. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/deploy-gke.html"} | Riva | spreadsheet | How Do I Deploy Riva At Scale On Google Cloud With GKE? | inference |
| Tutorial | 1780650377 | Get step-by-step instructions for how to deploy Riva models to Oracle Kubernetes Engine (OKE) to efficiently host and scale AI models on the Oracle Cloud Platform. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/deploy-oke.html"} | Riva | spreadsheet | How To Deploy Riva At Scale On OCI With OKE | inference |
| Tutorial | 1780650377 | Explore the basics in how to customize SSML in TTS and get guidance on modifying SSML tags to control aspects like speech rate, pitch, and volume. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/tts-basics-customize-ssml.html"} | Riva | spreadsheet | How Do I Use Riva TTS APIs With Out-Of-The-Box Models? | inference |
| Tutorial | 1780650377 | Read how to generate a TTS RMIR, an intermediate file that has all the necessary artifacts (models, files, configurations, and user settings) required to deploy a Riva service. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/tts-deploy.html"} | Riva | spreadsheet | TTS Deploy | inference |
| Tutorial | 1780650377 | Explore the process of evaluating TTS models and get instructions for assessing the performance of TTS systems using various metrics and techniques, | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/tts-evaluate.html"} | Riva | spreadsheet | Evaluate A TTS Pipeline | inference |
| Tutorial | 1780650377 | Read how to fine tune TTS models using NeMo and get instructions for setting up and executing the fine tuning process. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/tts-finetune-nemo.html"} | Riva | spreadsheet | Text-To-Speech Finetuning Using NeMo | inference |
| Tutorial | 1780650377 | Get practical guidance on examining the frequency and distribution of phonemes in TTS output to gain insights into the linguistic charcateristics and performance of TTS models. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/tts-phoneme-distribution.html"} | Riva | spreadsheet | Plot Phoneme Distribution In TTS Dataset | inference |
| Tutorial | 1780650377 | Get practical tips and techniques for capturing high quality audio data to create custom datasets tailored to specific TTS training needs. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/tts-dataset-recording-at-home.html"} | Riva | spreadsheet | Guidelines To Record A TTS Dataset At Home | inference |
| Tutorial | 1780650377 | Learn the basics of using Riva NMT services, specifically covering how to use Riva NMT APIs with out of the box models. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/nmt-python-basics.html"} | Riva | spreadsheet | Language Translation With Riva NMT: Out-Of-The-Box | inference |
| Tutorial | 1780650377 | Read instructions for setting up and executing the deployment process to integrate NeMo NMT models seamlessly into applications using Riva. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/nmt-python-advanced-deploy-nemo-nmt-model-on-riva.html"} | Riva | spreadsheet | Deploy NeMo-Finetuned NMT On Riva Speech Skills | inference |
| Tutorial | 1780650377 | Read step-by-step instructions for setting up and executing the fine tuning process to customize NMT models for specific translation tasks effectively. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/nmt-python-advanced-finetune-nmt-model-with-nemo.html"} | Riva | spreadsheet | How To Fine-Tune A Riva NMT Bilingual Model With NVIDIA NeMo | inference |
| Tutorial | 1780650377 | Explore practical guidance on creating synthetic datasets to augment training data to improve the performance and robustness of NMT models effectively. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/nmt-python-advanced-synthetic-data-generation.html"} | Riva | spreadsheet | Generate Synthetic Data With Riva NMT Multilingual | inference |
| Tutorial | 1780650377 | Get clear instructions for setting up and executing the fine tuning process to adapt NMT models to handle multiple languages effectively. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/nmt-python-advanced-finetune%20multilingual-nmt-model-with-nemo.html"} | Riva | spreadsheet | Fine-Tune Riva NMT Multilingual With NeMo | inference |
| Sample App | 1780650377 | Learn how to integrate Riva's capabilities for speech recognition and natural language understanding into a contact center environment. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/samples/sample-apps/riva-contact/README.html"} | Riva | spreadsheet | Riva Contact Center Video Conference | inference |
| Sample App | 1780650377 | Learn how Riva's speech recognition, natural language understanding, and text-to-speech capabilities can be utilized to develop interactive conversational agent. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/samples/sample-apps/virtual-assistant/README.html"} | Riva | spreadsheet | Riva Virtual Assistant | inference |
| Sample App | 1780650377 | Learn how Riva's speech recognition and text-to-speech capabilities can complement Rasa's natural language understanding to create advanced virtual assistant solutions. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/samples/sample-apps/virtual-assistant-rasa/README.html"} | Riva | spreadsheet | Virtual Assistant (With Rasa) | inference |
| Sample App | 1780650377 | Learn how Riva's speech recognition and text-to-speech capabilities can enhance Dialogflow powered virtual assistants. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/samples/sample-apps/virtual-assistant-dialogflow/README.html"} | Riva | spreadsheet | Virtual Assistant (With Google Dialogflow) | inference |
| Sample App | 1780650377 | The SpeechSquad sample application demonstrates the implementation of a collaborative speech transcription and review platform using NVIDIA Riva. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/samples/speechsquad.html"} | Riva | spreadsheet | Speechsquad | inference |
| Sample App | 1780650377 | This sample app showcases the integration of Riva into Interactive Voice Response (IVR) systems demonstrating how Riva's speech recognition and NLU capabilities can enhance IVR systems. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/samples/ivr-integration.html"} | Riva | spreadsheet | Audiocodes Voicegateway | inference |
| Documentation | 1780650377 | Get a comprehensive introduction to automatic speech recognition (ASR) with Riva including key concepts, features, and functionalities of Riva's ASR capabilities. | false | {"inference":false} | General Interest, Beginner, Intermediate, Advanced | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/asr/asr-overview.html"} | Riva | spreadsheet | Speech Recognition Documentation | inference |
| Documentation | 1780650377 | Get an introduction to Riva's TTS capabilities, covering features, functionalities, and applications for developers to leverage across various use cases. | false | {"inference":false} | General Interest, Beginner, Intermediate, Advanced | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tts/tts-overview.html"} | Riva | spreadsheet | TTS Documentation | inference |
| Documentation | 1780650377 | Get an introduction Riva's translation capabilities, covering features, functionalities, and applications of its translation technology. | false | {"inference":false} | General Interest, Beginner, Intermediate, Advanced | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/riva/user-guide/docs/translation/translation-overview.html"} | Riva | spreadsheet | NMT Documentation | inference |
| NIM | 1780650377 | Use Parakeet to transcribe audio into text, using spaces and apostrophes where needed. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/parakeet-ctc-1_1b-asr"} | NeMo, Riva, Triton Inference Server, NIM, Dynamo | spreadsheet | Parakeet-CTC-1.1B-EnUS | inference |
| Video | 1780650377 | Get foundational knowledge and guidance for how to use NGC, NVIDIA's GPU optimized software hub for deep learning and AI tasks. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://resources.nvidia.com/en-us-riva-tutorials-briefcase/basics-of-ngc"} | Riva | spreadsheet | The Basics Of NVIDIA NGC | inference |
| Video | 1780650377 | Get insights and guidance on utilizing Riva's AI capabilities for various applications. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://resources.nvidia.com/en-us-riva-tutorials-briefcase/exploring-riva-capabilities"} | Riva | spreadsheet | Exploring Riva’s Capabilities | inference |
| Training | 1780650377 | Learn the basics of deep learning techniques for computer vision tasks. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://courses.nvidia.com/courses/course-v1:DLI+T-FX-04+V1/"} | Riva | spreadsheet | Riva Speech API Demo | inference |
| Training | 1780650377 | Explore how to get started with highly accurate custom ASR for speech AI. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://courses.nvidia.com/courses/course-v1:DLI+S-FX-04+V1/"} | Riva | spreadsheet | Get Started With Highly Accurate Custom ASR For Speech AI | inference |
| Video | 1780650377 | Discover the power of NVIDIA Riva in this video, showcasing AI's capabilities in speech recognition and natural language understanding. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=DR2xtRg3aW8&list=PL5B692fm6--s7zpxxFSnwKgKVWoIceEED&index=1"} | Riva | spreadsheet | Deploying Riva on a Kubernetes Cluster | inference |
| Video | 1780650377 | Explore NVIDIA's AI Powered conversational AI platform in this video, highlighting advanced speech recognition and synthesis capabilities | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=vF5mgMokBn4&list=PL5B692fm6--s7zpxxFSnwKgKVWoIceEED&index=2"} | Riva | spreadsheet | Deploying Kubernetes Cluster to GKE with Terraform | inference |
| Video | 1780650377 | Learn how to start the Riva server and run Spanish to English speech-to-text and speech-to-speech translation in the virtual machine instance. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=-ENdnIgXi-0&list=PL5B692fm6--s7zpxxFSnwKgKVWoIceEED&index=3"} | Riva | spreadsheet | Spanish to English S2T and S2S Translation | inference |
| Video | 1780650377 | Learn how to  launch a virtual machine instance on Google Cloud Platform (GCP) from Riva virtual machine image (VMI) and connect to it through a terminal. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=xCguHth07MU&list=PL5B692fm6--s7zpxxFSnwKgKVWoIceEED&index=4"} | Riva | spreadsheet | Setting Up and Connecting to a VM Instance | inference |
| Video | 1780650377 | Learn how to quickly get started developing automatic speech recognition skills with NVIDIA Riva. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=JRVZxNngfKY&list=PL5B692fm6--s7zpxxFSnwKgKVWoIceEED&index=7"} | Riva | spreadsheet | Getting Started with Riva Speech Recognition | inference |
| Video | 1780650377 | Watch how Spot uses AI and super-accurate GPS to order and pick up snacks. | false | {"inference":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=yNozb8ljpgI&list=PL5B692fm6--s7zpxxFSnwKgKVWoIceEED&index=11"} | Riva | spreadsheet | Robot Dog Fetches Snacks Across Town | inference |
| Tutorial | 1780650377 | Learn how to get started with the NVIDIA Riva Parakeet NIM to create more natural and intuitive voice-powered applications. | false | {"inference":false,"nim":false} | Beginner | {"text" => "Learn more", "url" => "https://youtu.be/QujhSgczkDo"} | Riva, NIM | spreadsheet | Getting Started with the NVIDIA Riva Parakeet NIM | inference, nim |
| NIM | 1780650377 | Experience leading models to build speech AI applications. | true | {"cybersecurity":false,"inference":true,"nim":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/explore/speech"} | Riva, NIM | spreadsheet | Generative AI Models for Speech | inference, nim, cybersecurity |
| Example | 1780650377 | This repository provides state-of-the-art deep learning examples that are easy to train and deploy, achieving the best reproducible accuracy and performance. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/DeepLearningExamples"} |  | spreadsheet | Deep Learning Examples | inference |
| Training | 1780650377 | Learn how Transformers are used as the building blocks of modern LLMs and how to use these models for various NLP tasks, including text classification, NER, and question answering. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-08+V1"} |  | spreadsheet | Introduction to Transformer-Based NLP | inference |
| Training | 1780650377 | Learn to build and deploy a real time telemedicine application with transcription and named entity recognition capabilities. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+C-FX-06+V2"} | NeMo, Riva | spreadsheet | Building Conversational AI Applications | inference |
| Model | 1780650377 | The purpose built models shipped with the TAO Toolkit - Conversational AI package can be used directly in tasks like answering questions across multiple domains. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/tao/tao-toolkit/text/model_zoo/conversational_ai.html"} | TAO Toolkit | spreadsheet | Conversational AI Model Zoo | inference |
| Glossary Page | 1780650377 | BERT is a model for NLP developed by Google that learns bi-directional representations of text to significantly improve contextual understanding of unlabeled text. | false | {"inference":false} | General Interest | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/glossary/bert/"} |  | spreadsheet | What is BERT? | inference |
| Glossary Page | 1780650377 | Conversational AI can recognize speech and text, understand intent, recognize language-specific idioms and aphorisms, and respond in appropriate natural language. | false | {"inference":false} | General Interest | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/glossary/conversational-ai/"} |  | spreadsheet | What is Conversational AI? | inference |
| Glossary Page | 1780650377 | Large language models largely represent a class of deep learning architectures called transformer networks. | false | {"cosmos":false,"inference":false,"rag":false} | General Interest, Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/glossary/large-language-models/"} | NeMo, BioNeMo | spreadsheet | What are Large Language Models? | inference, rag, cosmos |
| Glossary Page | 1780650377 | Natural language processing (NLP) is the application of AI to process and analyze text or voice data in order to understand, interpret, categorize, and/or derive insights from content. | false | {"inference":false} | General Interest | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/glossary/natural-language-processing/"} |  | spreadsheet | What is Natural Language Processing? | inference |
| Glossary Page | 1780650377 | Retrieval-augmented generation enhances large language model prompts with relevant data for more practical, accurate responses. | false | {"cosmos":true,"inference":false,"rag":true} | General Interest, Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/glossary/retrieval-augmented-generation/"} | TensorRT, Triton Inference Server, NeMo Guardrails, Dynamo | spreadsheet | What is Retrieval-Augmented Generation? | inference, rag, cosmos |
| Glossary Page | 1780650377 | Automatic speech recognition (ASR), or speech-to-text, is the combination of processes and software that decode human speech and convert it to digitized text. | false | {"inference":false} | General Interest | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/glossary/speech-to-text/"} |  | spreadsheet | What is Automatic Speech Recognition? | inference |
| Glossary Page | 1780650377 | Text-to-speech is a form of speech synthesis that converts any string of text characters into spoken output. | false | {"inference":false} | General Interest | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/glossary/text-to-speech/"} |  | spreadsheet | What is Text-to-Speech? | inference |
| Glossary Page | 1780650377 | A virtual digital assistant is a program that understands natural language and can answer questions or complete tasks based on voice commands. | false | {"inference":false} | General Interest | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/glossary/virtual-assistant/"} |  | spreadsheet | What Is a Virtual Assistant? | inference |
| Video | 1780650377 | NVIDIA ChatRTX is a demo app that lets users interact with their local data (docs, notes, images, or other data), accelerated by NVIDIA RTX-powered Windows PCs and workstations. | false | {"inference":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=WDzBEKCeOoc&list=PL5B692fm6--vUjxiSTdlXr7LHDC83bBXb&index=1"} | NVIDIA RTX | spreadsheet | ChatRTX Update: New Models and Features | inference |
| Video | 1780650377 | This fireside chat from NVIDIA's Speech AI Day is a discussion with experts from Carnegie Mellon University, Hippocratic AI, Suno, and more about new trends and cutting-edge techniques. | false | {"inference":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=PrqsHUbRF_0&list=PL5B692fm6--vUjxiSTdlXr7LHDC83bBXb&index=2"} | Riva | spreadsheet | Speech AI from Research to Production Fireside Chat | inference |
| Video | 1780650377 | Learn what the NVIDIA NeMo framework is and how to get started. | false | {"inference":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=gTwLLhebOcQ&list=PL5B692fm6--vUjxiSTdlXr7LHDC83bBXb&index=7&pp=iAQB"} | NeMo | spreadsheet | Building and Deploying Generative AI Models with NVIDIA NeMo | inference |
| Video | 1780650377 | NVIDIA NeMo Guardrails, newly released open-source software, will help ensure smart applications powered by large language models (LLMs) are accurate, appropriate, on topic and secure. | false | {"inference":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=Hg2KibOvnLM&list=PL5B692fm6--vUjxiSTdlXr7LHDC83bBXb&index=8&pp=iAQB"} | NeMo | spreadsheet | Building Safe and Secure LLM Applications Using NVIDIA NeMo | inference |
| GitHub | 1780650377 | NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems. | false | {"inference":false,"nemo_evaluator":false,"omniverse":false} | Beginner, Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/NeMo-Guardrails"} | NeMo, NeMo Guardrails | spreadsheet | NVIDIA NeMo Guardrails GitHub Repository | inference, omniverse, nemo_evaluator |
| Documentation | 1780650377 | Documentation that includes a gettting started guide, examples, user guides, evaluation tools, security and advanced guides. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/NeMo-Guardrails/tree/develop/docs"} | NeMo | spreadsheet | NVIDIA NeMo Guardrails Documentation | inference |
| Guide | 1780650377 | The complete guide to all the configuration options available in the config.yml file. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/NeMo-Guardrails/blob/develop/docs/user_guides/configuration-guide.md"} | NeMo | spreadsheet | NeMo Guardrails Configuration Guide | inference |
| Guide | 1780650377 | This guide walks you through the process of setting up your environment and installing NeMo Guardrails. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/NeMo-Guardrails/blob/develop/docs/getting_started/installation-guide.md"} | NeMo | spreadsheet | NeMo Guardrails Installation Guide | inference |
| Guide | 1780650377 | A series of guides that will help you understand the core concepts and build your first guardrails configurations. These guides include Jupyter notebooks that you can experiment with. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/NeMo-Guardrails/blob/develop/docs/getting_started"} | NeMo | spreadsheet | NeMo Guardrails Getting Started Guide | inference |
| NIM | 1780650377 | Mistral-7B-Instruct is a language model with versatility in tasks such as summarizing texts, translating languages, coding assistance, sentiment analysis, and more. | false | {"cybersecurity":false,"inference":false,"nim":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/mistralai/mistral-7b-instruct-v2"} | NIM | spreadsheet | Mistral-7B-Instruct | inference, nim, cybersecurity |
| NIM | 1780650377 | Llama 2 is a large language AI model comprising a collection of models capable of generating text and code in response to prompts. | false | {"cybersecurity":false,"inference":false,"nim":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/meta/llama2-70b"} | NIM | spreadsheet | Llama 2 | inference, nim, cybersecurity |
| Guide | 1780650377 | TNeMo implementation focuses on the state-of-the-art neural TTS where both cascaded and end-to-end (upcoming) systems are included. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/tts/intro.html"} | NeMo | spreadsheet | NVIDIA NeMo TTS User Guide | inference |
| Guide | 1780650377 | Use NeMo to transcribe speech using open-sourced pretrained models in 14+ languages, or train your own ASR models. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/asr/intro.html"} | NeMo | spreadsheet | NVIDIA NeMo ASR User Guide | inference |
| Guide | 1780650377 | Use NeMo Speech Classification to automatically classify input utterance or audio segment into categories such as Speech Command Recognition, Voice Activity Detection, and more. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/asr/speech_classification/intro.html"} | NeMo | spreadsheet | NVIDIA NeMo Speech Classification User Guide | inference |
| Guide | 1780650377 | Get started with the NVIDIA NeMo framework, a cloud-native generative AI framework built for researchers and developers working on large language models, multimodal, and speech AI. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nemo-framework/user-guide/latest/overview.html"} | NeMo | spreadsheet | NVIDIA NeMo Framework User Guide | inference |
| Guide | 1780650377 | This guide is designed to help you understand some fundamental concepts and point you to some resources to kickstart your journey in using it to build generative AI applications. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nemo-framework/user-guide/latest/getting-started.html"} | NeMo | spreadsheet | NVIDIA NeMo Getting Started Guide | inference |
| GitHub | 1780650377 | NeMo provides a set of tools useful for developing automatic speech recognitions (ASR) and text-to-speech (TTS) synthesis models. | false | {"inference":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/NeMo/tree/stable/tools"} | NeMo | spreadsheet | NVIDIA NeMo Speech AI Tools | inference |
| Learning Path | 1780650377 | This course will show you how to deploy an agent system in practice with the flexibility to scale up your system to meet the demands of users and customers. | false | {"cosmos":false,"dlss_practitioner":false,"inference":false,"rag":false} | Intermediate | {"text" => "Learn more", "url" => "https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-15+V1"} | NeMo, NIM | spreadsheet | Building RAG Agents with LLMs | inference, rag, dlss_practitioner, cosmos |
| GitHub | 1780650377 | Explore the NeMo framework open source software, a scalable generative AI framework built for researchers and developers working on LLMs, multimodal, and speech AI. | false | {"inference":false,"omniverse":false} | Beginner, Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/NeMo"} | NeMo | spreadsheet | NVIDIA NeMo Framework GitHub Repository | inference, omniverse |
| NIM | 1780650377 | Power complex conversations with superior contextual understanding, reasoning and text generation using Llama 3. | false | {"cybersecurity":false,"inference":false,"nim":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/meta/llama3-70b"} | NIM | spreadsheet | Llama 3 | inference, nim, cybersecurity |
| NIM | 1780650377 | Experience leading models to build generative AI applications. | false | {"cybersecurity":false,"inference":false,"nim":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/explore/reasoning"} | NIM | spreadsheet | Large Language Models for Reasoning | inference, nim, cybersecurity |
| Session | 1780650377 | Get hands-on, practical guidance from LLM practitioners, who share their insights and best-practices for getting started with and advancing LLM application development. | true | {"inference":true} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/events/llm-developer-day/"} | NeMo | spreadsheet | LLM Developer Day | inference |
| Session | 1780650377 | Join us for an exciting and interactive online conversation with industry experts delving into the trends and cutting-edge techniques in speech AI. | false | {"inference":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/events/speech-ai-day/"} | Riva | spreadsheet | Speech AI Day | inference |
| Sample App | 1780650377 | Use NeMo Retriever NIM microservices to unlock highly accurate insights from massive volumes of enterprise data. | true | {"cybersecurity":true,"dlss_practitioner":true,"inference":true,"nemo_curator":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/multimodal-pdf-data-extraction-for-enterprise-rag"} | NeMo, NIM, Blueprint, NeMo Retriever | spreadsheet | Multimodal PDF Data Extraction Blueprint | inference, cybersecurity, nemo_curator, dlss_practitioner |
| Sample App | 1780650377 | Build smarter virtual assistants for more secure, personalized customer service across every industry. | true | {"dlss_practitioner":true,"inference":true,"nemo_curator":true} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/ai-virtual-assistant-for-customer-service"} | NeMo, NIM, Blueprint, NeMo Retriever | spreadsheet | AI Virtual Assistant Blueprint | inference, nemo_curator, dlss_practitioner |
| Guide | 1780650378 | Explore guides for Triton architecture, model repository, repository agent, optimization and more. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/index.html"} | Triton Inference Server, Dynamo | spreadsheet | NVIDIA Triton User Guide | cybersecurity |
| Documentation | 1780650378 | Explore frequently asked questions for Triton including TensorFlow segmentation model deployment, inference on video/audio streams, and more. | false | {"cybersecurity":false} | General Interest | {"text" => "Learn more", "url" => "https://forums.developer.nvidia.com/c/ai-data-science/deep-learning/triton-inference-server/97"} | Triton Inference Server, Dynamo | spreadsheet | NVIDIA Triton Forum | cybersecurity |
| GitHub | 1780650378 | Triton Inference Server is available as open source software on GitHub with end-to-end examples. | false | {"cybersecurity":false} | General Interest | {"text" => "Learn more", "url" => "https://github.com/triton-inference-server/server"} | Triton Inference Server, Dynamo | spreadsheet | NVIDIA Triton GitHub Repository | cybersecurity |
| GitHub | 1780650378 | Take a deeper dive into some of the concepts in Triton Inference Server, along with examples of deploying a variety of common models. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/triton-inference-server/tutorials"} | Triton Inference Server, Dynamo | spreadsheet | NVIDIA Triton Tutorials | cybersecurity |
| Training | 1780650378 | Learn how to scale your machine learning models to work effectively at production scale with hands-on exercises using NVIDIA Triton Inference Server and Prometheus. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://courses.nvidia.com/courses/course-v1:DLI+S-FX-03+V1/"} | Triton Inference Server, Dynamo | spreadsheet | Deploying a Model for Inference at Production Scale | cybersecurity |
| Performance Metrics | 1780650378 | Get the latest performance metrics for AI inference. | false | {"cybersecurity":false} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/deep-learning-performance-training-inference/ai-inference"} | TensorRT | spreadsheet | AI Inference Performance Metrics | cybersecurity |
| Documentation | 1780650378 | Explore the quick start guide, installation guide, release notes, support matric and more for TensorRT. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/tensorrt/"} | TensorRT | spreadsheet | TensorRT Documentation | cybersecurity |
| Video | 1780650378 | This video will quickly help you get started and accelerate the inference workflow in just 3 steps with NVIDIA TensorRT. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=SlUouzxBldU"} | TensorRT | spreadsheet | Getting Started With TensorRT | cybersecurity |
| GitHub | 1780650378 | Explore Notebooks for using TensorFlow 2 through ONNX, using PyTorch through ONNX, understanding TensorRT runtimes and more. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/TensorRT/tree/main/quickstart/IntroNotebooks"} | TensorRT | spreadsheet | TensorRT Getting Started Notebooks | cybersecurity |
| Guide | 1780650378 | This guide covers the basic installation, conversion, and runtime options available in TensorRT, and when they are best applied. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/tensorrt/quick-start-guide/index.html"} | TensorRT | spreadsheet | TensorRT Quick-Start Guide | cybersecurity |
| Sample App | 1780650378 | A compilation of "Hello World" samples, TensorRT API samples, and application samples on GitHub. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/TensorRT/tree/main/samples"} | TensorRT | spreadsheet | TensorRT Sample Code | cybersecurity |
| GitHub | 1780650378 | Step by step walkthrough for building EfficientDet TensorRT engine from pre-trained Tensorflow checkpoint. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/TensorRT/tree/main/demo/EfficientDet/notebooks"} | TensorRT | spreadsheet | EffientDet Inference Using TensorRT | cybersecurity |
| GitHub | 1780650378 | This quick start guide showcases how to deploy a simple ResNet model accelerated by using TensorRT on Triton Inference Server. | false | {"cybersecurity":false} | Advanced | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/TensorRT/tree/main/quickstart/deploy_to_triton"} | TensorRT | spreadsheet | Serving Model with NVIDIA Triton | cybersecurity |
| GitHub | 1780650378 | PyTorch-Quantization is a toolkit for training and evaluating PyTorch models with simulated quantization. | false | {"cybersecurity":false} | Advanced | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/TensorRT/tree/main/tools/pytorch-quantization"} | TensorRT | spreadsheet | PyTorch-Quantization Toolkit | cybersecurity |
| GitHub | 1780650378 | A developer reference project for creating retrieval-augmented generation (RAG) chatbots on Windows using TensorRT-LLM. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/trt-llm-rag-windows/tree/release/1.0"} | TensorRT | spreadsheet | RAG Chatbot on Windows Reference Project | cybersecurity |
| GitHub | 1780650378 | Access TensorRT Model Optimizer, a unified library of state-of-the-art model optimization techniques such as quantization and sparsity. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/TensorRT-Model-Optimizer"} | TensorRT | spreadsheet | TensorRT Model Optimizer GitHub Repository | cybersecurity |
| GitHub | 1780650378 | Access TensorRT-LLM, an easy-to-use Python API to define LLMs and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/TensorRT-LLM"} | TensorRT | spreadsheet | TensorRT-LLM GitHub Repository | cybersecurity |
| Guide | 1780650378 | Explore how to get started with quantization and sparsity using Model Optimizer. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://nvidia.github.io/TensorRT-Model-Optimizer/"} | TensorRT | spreadsheet | TensorRT Model Optimizer Quick-Start Guide | cybersecurity |
| Video | 1780650378 | Torch-TensorRT is an integration for PyTorch that leverages inference optimizations of TensorRT. With one line of code, it provides a simple API that gives up to 6x performance speedup. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=TU5BMU6iYZ0"} | TensorRT | spreadsheet | Getting Started with NVIDIA Torch-TensorRT | cybersecurity |
| Notebook | 1780650378 | This notebook demonstrates the steps for compiling a TorchScript module with Torch-TensorRT on a pretrained SSD network, and running it to test the speedup obtained. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/Torch-TensorRT/blob/master/notebooks/ssd-object-detection-demo.ipynb"} | TensorRT | spreadsheet | Object Detection with Torch-TensorRT (SSD) | cybersecurity |
| Notebook | 1780650378 | This notebook demonstrates the steps for compiling a TorchScript module with Torch-TensorRT on a pretrained BERT transformer from Hugging Face. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://pytorch.org/TensorRT/_notebooks/Hugging-Face-BERT.html"} | TensorRT | spreadsheet | Masked Language Modeling (MLM) with Hugging Face BERT | cybersecurity |
| Notebook | 1780650378 | In this notebook, we illustrate the following steps from training to inference of a QAT model in Torch-TensorRT. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://pytorch.org/TensorRT/_notebooks/vgg-qat.html"} | TensorRT | spreadsheet | Deploying Quantization Aware Trained models in INT8 | cybersecurity |
| Tutorial | 1780650378 | Learn step-by-step, the process of optimizing a model with Torch-TensorRT, deploying it on Triton Inference Server, and building a client to query the model. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://pytorch.org/TensorRT/tutorials/serving_torch_tensorrt_with_triton.html"} | TensorRT | spreadsheet | Serving a Torch-TensorRT Model with Triton | cybersecurity |
| Notebook | 1780650378 | In this example, we are going to use a simple ResNet model to demonstrate the use of the API. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://pytorch.org/TensorRT/_notebooks/dynamic-shapes.html"} | TensorRT | spreadsheet | Torch-TensorRT - Using Dynamic Shapes | cybersecurity |
| Video | 1780650378 | TensorFlow-TensorRT is an integration that leverages NVIDIA TensorRT’s inference optimization on NVIDIA GPUs within the TensorFlow ecosystem. Explore how to get started. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=w7871kMiAs8"} | TensorRT | spreadsheet | Getting Started with TensorFlow-TensorRT | cybersecurity |
| Video | 1780650378 | With just one line of code, TensorFlow-TensorRT provides a simple API that gives significant performance speedup on NVIDIA GPUs. In this video, we demo how to use TensorFlow-TensorRT. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=O-_K42EAlP0"} | TensorRT | spreadsheet | Increase Inference Performance with TensorFlow-TensorRT | cybersecurity |
| GitHub | 1780650378 | In this notebook, we demonstrate the process of optimizing a ResNet-50 model with a TensorFlow-TensorRT. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/tensorflow/tensorrt/blob/master/tftrt/examples-py/PTQ_example.ipynb"} | TensorRT | spreadsheet | TF-TRT Inference from Keras Model with TensorFlow 2.0 | cybersecurity |
| GitHub | 1780650378 | This README showcases how to deploy a simple ResNet model accelerated by using Tensorflow-TensorRT on Triton Inference Server. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/tensorflow/tensorrt/tree/master/tftrt/triton"} | TensorRT | spreadsheet | Tensorflow with TensorRT to Triton | cybersecurity |
| GitHub | 1780650378 | In this notebook demonstrates the use of dynamic shape tensors when using TensorFlow-TensorRT. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/tensorflow/tensorrt/blob/master/tftrt/examples-py/dynamic_shapes.ipynb"} | TensorRT | spreadsheet | Using Dynamic Shapes with TensorFlow-TensorRT | cybersecurity |
| GitHub | 1780650378 | This directory contains examples for BERT PTQ/QAT and sparsity related training. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/FasterTransformer/tree/main/examples/pytorch/bert/bert-quantization-sparsity"} | TensorRT | spreadsheet | PyTorch BERT Quantization/Sparsity Example | cybersecurity |
| GitHub | 1780650378 | BERT is a method of pre-training language representations which obtains state-of-the-art results on a wide array of Natural Language Processing (NLP) tasks. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/TensorRT/tree/main/demo/BERT"} | TensorRT | spreadsheet | BERT Inference Using TensorRT | cybersecurity |
| GitHub | 1780650378 | The Tacotron 2 and WaveGlow models form a TTS system that enables users to synthesize natural sounding speech from raw transcripts without any additional information. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2/tensorrt"} | TensorRT | spreadsheet | Tacotron 2 and WaveGlow Inference with TensorRT | cybersecurity |
| GitHub | 1780650378 | This sample, sampleCharRNN, uses the TensorRT API to build an RNN network layer by layer, sets up weights and inputs/outputs and then performs inference. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/TensorRT/tree/main/samples/sampleCharRNN"} | TensorRT | spreadsheet | Building an RNN Network Layer by Layer | cybersecurity |
| GitHub | 1780650378 | This notebook will show how to optimize a pre-trained TensorFlow EfficientDet model checkpoint using TensorRT 8.0.1. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/TensorRT/blob/master/demo/EfficientDet/notebooks/EfficientDet-TensorRT8.ipynb"} | TensorRT | spreadsheet | Optimize Object Detection with EfficientDet and TensorRT 8 | cybersecurity |
| GitHub | 1780650378 | These scripts help with conversion and execution of Google EfficientDet models with NVIDIA TensorRT. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/TensorRT/tree/main/samples/python/efficientdet"} | TensorRT | spreadsheet | Object Detection With EfficientDet | cybersecurity |
| GitHub | 1780650378 | This sample, yolov3_onnx, implements a full ONNX-based pipeline for performing inference with the YOLOv3 network. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/TensorRT/tree/main/samples/python/yolov3_onnx"} | TensorRT | spreadsheet | Object Detection With YOLOv3 Networks | cybersecurity |
| NIM | 1780650377 | Visit the NVIDIA API Catalog to begin building your AI application with NVIDIA-hosted NIM APIs. | false | {"cybersecurity":false,"nim":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/explore/discover"} | NIM | spreadsheet | Try NVIDIA NIM APIs | nim, cybersecurity |
| Video | 1780650377 | Dive into top considerations for scaling generative AI, what is NVIDIA NIM, how to deploy locally with a single command, how to orchestrate an autoscale with Kubernetes, and more. | false | {"cybersecurity":false,"nim":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=bpOvayHifNQ"} | NIM | spreadsheet | Deploying Generative AI in Production with NVIDIA NIM | nim, cybersecurity, omniverse |
| Documentation | 1780650377 | Access guides, API reference information, and release notes. | false | {"cybersecurity":false,"nim":false,"omniverse":false} | Intermediate, Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nim/"} | NIM | spreadsheet | NIM Documentation | nim, cybersecurity, omniverse |
| Session | 1780650377 | Learn key considerations for deploying and scaling generative AI in production using NIM. | false | {"cybersecurity":false,"nim":false} | Beginner | {"text" => "Learn more", "url" => "https://info.nvidia.com/generative-ai-in-production.html"} | NIM | spreadsheet | NIM Introductory Webinar | nim, cybersecurity |
| Guide | 1780650377 | Get step-by-step instructions for self-hosting NIM on any NVIDIA-accelerated infrastructure. | false | {"cybersecurity":false,"nim":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nim/large-language-models/latest/getting-started.html"} | NIM | spreadsheet | NIM Deployment Guide | nim, cybersecurity, omniverse |
| Video | 1780650378 | L4 is optimized for video and inference at scale for a broad range of AI applications to deliver the best in personalized experiences. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=vwo7W_jLx8Q&list=PL5B692fm6--vKdqkhaItA7RsE4zRub4ke&index=1&pp=iAQB"} |  | spreadsheet | Accelerate Video, AI, and Graphics Workloads | cybersecurity |
| Video | 1780650378 | This video showcases deploying the Stable Diffusion pipeline available through the HuggingFace diffuser library. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=JgP2WgNIq_w&list=PL5B692fm6--vKdqkhaItA7RsE4zRub4ke&index=2&t=1s&pp=iAQB"} |  | spreadsheet | How to Deploy HuggingFace’s Stable Diffusion Pipeline | cybersecurity |
| Video | 1780650378 | Learn how to get started with Triton Inference Server, an open-source inference solution that standardizes model deployment and enables fast and scalable AI in production. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=NQDtfSi5QF4&list=PL5B692fm6--vKdqkhaItA7RsE4zRub4ke&index=4&pp=iAQB"} |  | spreadsheet | Getting Started with NVIDIA Triton Inference Server | cybersecurity |
| Video | 1780650378 | Watch how companies are using NVIDIA TensorRT to optimize inference deployment for various AI applications. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=0e5TRStkkLM&list=PL5B692fm6--v21_WR4Uij03N237Egrvhd&index=1&pp=iAQB"} |  | spreadsheet | NVIDIA TensorRT: High Performance Deep Learning Inference | cybersecurity |
| Video | 1780650378 | Deploy trained AI models from any framework from local storage or cloud platform on any GPU- or CPU-based infrastructure. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=1kOaYiNVgFs&list=PL5B692fm6--v21_WR4Uij03N237Egrvhd&index=10&t=4s&pp=iAQB"} |  | spreadsheet | Top 5 Reasons Why Triton is Simplifying Inference | cybersecurity |
| Learning Path | 1780650378 | Learn how to apply and fine-tune a Transformer-based deep learning model to natural language processing (NLP) tasks. | false | {"cybersecurity":false} | Advanced | {"text" => "Learn more", "url" => "https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+C-FX-03+V3"} | Triton Inference Server, TensorRT, Dynamo | spreadsheet | Building Transformer-Based NLP Applications | cybersecurity |
| Learning Path | 1780650378 | Deploy a deep learning model to automate disaster management use cases. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-ES-01+V1"} | TAO Toolkit, Triton Inference Server, TensorRT, Dynamo | spreadsheet | Disaster Risk Monitoring Using Satellite Imagery | cybersecurity |
| Guide | 1780650377 | Explore the architecture, key features, and components of NVIDIA NIM, a set of optimized cloud-native microservices designed to simplify deployment of generative AI models. | true | {"cybersecurity":true,"nim":true} | Advanced, Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-nim-offers-optimized-inference-microservices-for-deploying-ai-models-at-scale/"} | NIM | spreadsheet | NVIDIA NIM Introduction | nim, cybersecurity |
| GitHub | 1780650378 | Learn the basics for getting started with Triton Inference Server, including how to create a model repository, launch Triton, and send an inference request. | true | {"cybersecurity":true} | Beginner | {"text" => "Learn more", "url" => "https://github.com/triton-inference-server/server/blob/main/docs/getting_started/quickstart.md"} | Triton Inference Server, Dynamo | spreadsheet | NVIDIA Triton Quick Start Guide | cybersecurity |
| Guide | 1780650378 | See how to get started with TensorRT in this step-by-step developer and API reference guide. | true | {"cybersecurity":true} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html"} | TensorRT | spreadsheet | NVIDIA TensorRT Developer Guide | cybersecurity |
| Example | 1780650378 | Get started prototyping your AI application with NIM hosted in the NVIDIA API catalog. Using generative AI examples from GitHub, see how to easily deploy a RAG pipeline for chat Q&A. | false | {"cybersecurity":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://nvidia.github.io/GenerativeAIExamples/latest/api-catalog.html"} | NIM | spreadsheet | RAG LLM Generative AI | cybersecurity, omniverse |
| Learning Path | 1780650378 | This course uses a food manufacturing example to demonstrate the power of Omniverse Replicator synthetic data generation to train computer vision models. | false | {"cybersecurity":false} | Beginner | {"text" => "Learn more", "url" => "https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-10+V1"} | Triton Inference Server, Dynamo | spreadsheet | Synthetic Data Generation for Training Vision Models | cybersecurity |
| GitHub | 1780650378 | Explore TensorRT-LLM, an easy-to-use Python API to define LLMs and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. | false | {"cybersecurity":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/TensorRT-LLM/blob/main/README.md"} | TensorRT | spreadsheet | TensorRT-LLM GitHub Repository | cybersecurity |
| Sample App | 1780650378 | Search and optimize a library of small molecules to identify chemical structures that bind to a target protein. | true | {"cybersecurity":true} |  | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/generative-virtual-screening-for-drug-discovery"} | NIM, BioNeMo | spreadsheet | Generative Virtual Screening Blueprint | cybersecurity |
| Guide | 1780650379 | This guide helps users implement AI driven cybersecurity solutions for real time threat detection across diverse IT environments. | false | {"cuvs":false,"morpheus":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/morpheus/getting_started.html"} | Morpheus | spreadsheet | Getting Started with Morpheus | omniverse, morpheus, cuvs |
| Example | 1780650379 | This guide showcases practical applications of AI for cybersecurity, demonstrating real world scenarios and implementation strategies. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/morpheus/examples.html"} | Morpheus | spreadsheet | NVIDIA Morpheus | omniverse, cuvs |
| Documentation | 1780650379 | A technical brief on spear phishing details advanced techniques for detecting and mitigating this prevalent cybersecurity threat. | false | {"cuvs":false,"morpheus":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/ai-enterprise/workflows-cybersecurity-ai/0.1.0/spear-phishing/technical-brief.html"} | NeMo, Morpheus | spreadsheet | Spear Phishing Detection Technical Brief | omniverse, morpheus, cuvs |
| GitHub | 1780650379 | A GitHub repository that provides detailed examples and resources for implementing AI solutions to combat spear phishing attacks effectively. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/nv-morpheus/Morpheus/tree/branch-24.03/docs/source/modules/examples/spear_phishing"} | NeMo, Morpheus | spreadsheet | Spear Phishing Detection | omniverse, cuvs |
| Modules | 1780650379 | Modules documentation that outlines specific AI modules for detecting and mitigating spear phishing attacks, enhancing cybersecurity defenses. | false | {"cuvs":false,"omniverse":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/morpheus/modules/index.html#spear-phishing-modules"} | NeMo, Morpheus | spreadsheet | Spear Phishing Detection | omniverse, cuvs |
| GitHub | 1780650379 | This GitHub repository includes practical examples and guidelines for implemeting AI solutions to tackle real world phishing threats effectively. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/nv-morpheus/Morpheus/tree/branch-24.03/examples/developer_guide/2_1_real_world_phishing"} | NeMo, Morpheus | spreadsheet | Spear Phishing Detection | omniverse, cuvs |
| Documentation | 1780650379 | Explore innovative techniques for enhancing threat detection and repsonse capabilties. | false | {"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://resources.nvidia.com/en-us-digital-fingerprinting-workflow/cybersecurity-technical-brief?ncid=no-ncid"} | Morpheus | spreadsheet | Digital Fingerprinting | omniverse |
| GitHub | 1780650379 | Get practical examples and resources for implementing digital fingerprinting techniques to enhane cybersecurity measures. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/nv-morpheus/Morpheus/tree/branch-24.03/examples/digital_fingerprinting"} | Morpheus | spreadsheet | Digital Fingerprinting | omniverse, cuvs |
| Modules | 1780650379 | Documentation that details specific AI modules designed for digital fingerprinting, bolstering cybersecurity capabilities with advanced detection and repsonse techniques. | false | {"cuvs":false,"omniverse":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/morpheus/modules/index.html#digital-fingerprinting-modules"} | Morpheus | spreadsheet | Digital Fingerprinting | omniverse, cuvs |
| Guide | 1780650379 | A guide that provides a comprehensive reference for implementing digital fingerprinting techniques, essential for enahncing cybersecurity measures with advanced AI capabilities. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/morpheus/developer_guide/guides/6_digital_fingerprinting_reference.html"} | Morpheus | spreadsheet | Digital Fingerprinting | omniverse, cuvs |
| Guide | 1780650379 | Get insights and instructions on implementing digital fingerprinting for robust cybersecurity, leveraging advanced AI techniques. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/morpheus/developer_guide/guides/5_digital_fingerprinting.html"} | Morpheus | spreadsheet | Digital Fingerprinting | omniverse, cuvs |
| Video | 1780650379 | Explore NVIDIA's demo showcasing digital fingerprinting technology, illustrating its role in enhancing cybersecurity measures with advanced AI capabilities. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=8rEPkHRvDq0"} | Morpheus | spreadsheet | Digital Fingerprinting | omniverse, cuvs |
| Tutorial | 1780650379 | Get started with NVIDIA NeMo using tutorials that guide you through building and training AI models for various applications efficiently. | false | {"omniverse":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/starthere/tutorials.html"} | NeMo | spreadsheet | NVIDIA NeMo Framework | omniverse |
| Guide | 1780650379 | Start exploring NVIDIA NeMo with comprehensive introductory documentation, offering insights into building and training advanced AI models across various applications. | false | {"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/starthere/intro.html"} | NeMo | spreadsheet | NVIDIA NeMo Framework | omniverse |
| Documentation | 1780650379 | Explore NVIDIA NeMo's checkpoint converters, facilitating seamless migration and compatibility of AI models across different frameworks and environments. | false | {"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/ckpt_converters/intro.html"} | NeMo | spreadsheet | Community Checkpoint Converter | omniverse |
| Documentation | 1780650379 | Discover NVIDUA NeMo's collections, curated sets of pre built models and components for accelerating developement of AI applications across various domains. | false | {"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/collections.html"} | NeMo | spreadsheet | NeMo Collections | omniverse |
| Webinar | 1780650379 | Discover NVIDIA's insights on deploying generative AI in production, exploring practical applications and best practices for leveraging advanced AI technologies effectively. | false | {"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://info.nvidia.com/generative-ai-in-production.html?ondemandrgt=yes#"} | NIM | spreadsheet | Deploying Generative AI in Production | omniverse |
| Learning Path | 1780650379 | Explore NVIDIA's learning path on generative AI and large language models (LLM), offering comprehensive resources and insights to advance understanding and skills in AI developement. | false | {"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/learn/learning-path/generative-ai-llm/"} | NeMo, NIM | spreadsheet | Generative AI and LLM Learning Paths | omniverse |
| Guide | 1780650379 | The NVIDIA documentation provides installation instructions for PCIe x16, detailing steps to correctly install and configure the hardware for optimal performance. | false | {"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/networking/display/bf3dpu/pcie+x16+installation+instructions#src-2449222499_PCIex16InstallationInstructions-InstallationInstructions"} | NIM | spreadsheet | PCIe x16 Installation Instructions | omniverse |
| Guide | 1780650379 | Get essential resources to begin utilizing the NVIDIA DOCA SDK, enabling accelerated development of data center applications. | false | {"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/doca/sdk/nvidia+doca+developer+quick+start+guide/index.html"} | DOCA | spreadsheet | NVIDIA DOCA Developer Quick Start | omniverse |
| Documentation | 1780650379 | Explore the NVIDIA Networking BlueField DPU DevOps Kit on GitLab, providing tools and resources for optimizing and managing data processing units (DPUs) effectively. | false | {"omniverse":false} | Intermediate | {"text" => "Learn more", "url" => "https://gitlab.com/nvidia/networking/bluefield/dpu-devops-kit"} | BlueField | spreadsheet | DPU DevOps Kit | omniverse |
| Documentation | 1780650379 | Explore a comprehensive guides and resources for configuring and optimizing network adapters to enhance data processing efficiency. | false | {"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/networking/adapters/index.html"} | PCIe | spreadsheet | Networking Adapters | omniverse |
| Guide | 1780650379 | Explore the process of installing software on the host system, ensuring proper setup for utilizing DOCA SDK functionalities effectively. | false | {"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/doca/sdk/nvidia+doca+installation+guide+for+linux/index.html#src-2571330368_NVIDIADOCAInstallationGuideforLinux-InstallingSoftwareonHost"} | DOCA | spreadsheet | NVIDIA DOCA Installation Guide for Linux | omniverse |
| Video | 1780650379 | Explore a collection of data center netrworking videos covering a range of topics in AI, GPU technology, and industry advancements. | false | {"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/playlist?list=PL5B692fm6--uCw0CnzLdqhOe_3Sn3UT7L"} | DOCA | spreadsheet | Data Center Networking | omniverse |
| GitHub | 1780650379 | Access resources and tools aimed at optimizing networking solutions with BlueField data processing units (DPUs). | false | {"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://gitlab.com/nvidia/networking/bluefield"} | BlueField | spreadsheet | BlueField DPU GitLab | omniverse |
| Video | 1780650379 | Explore a security feature introduced in the NVIDIA Hopper™ architecture, which mitigates threats, while letting users access the acceleration of NVIDIA H100 Tensor Core GPUs. | false | {"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=LlRxyJfAi24&t=2s"} | Confidential Computing | spreadsheet | What is NVIDIA Confidential Computing | omniverse |
| Video | 1780650379 | See how NVIDIA Morpheus makes it possible to scan all traffic in real time allowing you to detect and react to threats as they occur. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=UDChsxHx1wc"} | Morpheus | spreadsheet | AI Based, Real Time Threat Detection at Scale | omniverse, cuvs |
| Video | 1780650379 | See how the NVIDIA UFM Cyber AI harnesses AI powered analytics to minimize downtime in InfiniBand data centers. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=DgZD3FV8Pz4"} | Morpheus | spreadsheet | Revolutionizing Supercomputing with NVIDIA UFM Cyber AI | omniverse, cuvs |
| Video | 1780650379 | See how the NVIDIA Morpheus cybersecurity AI framework aids developers in building solutions to detect spear phisihing faster and more efficiently. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=57dEPP67XrY"} | Morpheus | spreadsheet | Improve Spear Phishing Detection with Generative AI | omniverse, cuvs |
| Video | 1780650379 | Learn how Joshua Patterson uses NVIDIA GPUs to detect security threats by analyzing anomalies in large scale graphs. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=By5FALKZUoQ"} | Morpheus | spreadsheet | Visualizing Cybersecurity Threats Using Big Data Analytics | omniverse, cuvs |
| Video | 1780650379 | Learn more about digital fingerprinting and the value it can bring. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=UnaPTrbkcrY"} | Morpheus | spreadsheet | What is Digital Fingerprinting? | omniverse, cuvs |
| Video | 1780650379 | Explore Ethernet smartNICs which boast high data transfer speeds, low latency, advanced processor offloading measures and security features. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=xXXrX1CcuBw"} | Morpheus | spreadsheet | Introduction to ConnectX Network Interface Cards | omniverse, cuvs |
| Video | 1780650379 | Learn how Leo Meyerovich, CEO of Graphistry, uses NVIDIA GPUs to protect some of the largest companies and organizations in the world by visually alerting them of hackers or outages. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=ZA9Ityyk4pg"} | Morpheus | spreadsheet | Hunting Cyber Hackers with Machine Learning | omniverse, cuvs |
| Video | 1780650379 | See how NVIDIA UFM Cyber AI platform revolutionizes InfiniBand data center networking management. | false | {"cuvs":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=UT09801gmec"} | Morpheus | spreadsheet | Boost Data Center Management and Security | omniverse, cuvs |
| Session | 1780650379 | Explore how generative AI can be applied to security to reduce the time to detect cyber threats, address data gaps, and enrich models by creating synthetic training data. | true | {"cuvs":true,"omniverse":true} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc24-s62173/"} | Morpheus | spreadsheet | How to Apply Generative AI to Improve Cybersecurity | omniverse, cuvs |
| Blog | 1780650379 | Learn how the BlueField DPU accelerates Palo Alto Networks’ firewall performance up to 5X with intelligent traffic offload. | true | {"omniverse":true} | Beginner | {"text" => "Learn more", "url" => "https://resources.nvidia.com/en-us-accelerated-networking-resource-library/palo-alto-networks-intelligent?ncid=no-ncid"} | BlueField | spreadsheet | Accelerating the Palo Alto Networks Firewall | omniverse |
| Blog | 1780650379 | Learn how Confidential Computing on NVIDIA H100 GPUs works to secure AI across hardware, firmware, and software. | true | {"omniverse":true} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/confidential-computing-on-h100-gpus-for-secure-and-trustworthy-ai/"} | Confidential Computing | spreadsheet | Confidential Computing for Secure and Trustworthy AI | omniverse |
| Example | 1780650379 | Learn how to build and deploy customized generative AI applications for rapid vulnerability analysis of software containers. | true | {"omniverse":true} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/vulnerability-analysis-for-container-security"} | Morpheus | spreadsheet | NVIDIA AI Blueprint for Container Security | omniverse |
| Example | 1780650379 | The examples in this folder showcase various configurations of guardrails. You can use them as a starting point for different types of bots you want to build with NeMo Guardrails. | false | {"nemo_evaluator":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/NeMo-Guardrails/tree/develop/examples/bots"} | NeMo Guardrails | spreadsheet | NeMo Guardrails Example Bots | omniverse, nemo_evaluator |
| Example | 1780650379 | The configurations in this folder showcase various features of NeMo Guardrails, e.g., using a specific LLM, enabling streaming, enabling fact-checking, etc. | false | {"nemo_evaluator":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/NeMo-Guardrails/tree/develop/examples/configs"} | NeMo Guardrails | spreadsheet | Nemo Guardrails Example Configurations | omniverse, nemo_evaluator |
| Documentation | 1780650379 | Explore resources for getting started such as examples, the user guide, security guidelines, evaluation tools and more. | false | {"nemo_evaluator":false,"omniverse":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nemo/guardrails/documentation.html"} | NeMo Guardrails | spreadsheet | NeMo Guardrails Documentation | omniverse, nemo_evaluator |
| Webinar | 1780650582 | Explore how NVIDIA NeMo Curator enables developers to easily build scalable data processing pipelines to create high-quality multimodal datasets for training and customization. | true | {"morpheus":true,"nemo_customizer":true} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/events/enhance-generative-ai-model-accuracy/"} | NeMo Curator | spreadsheet | Enhance Generative AI Model Accuracy Through Data Processing | morpheus, nemo_customizer |
| Documentation | 1780650582 | RAPIDS™ open-source software libraries leverage GPUs to substantially reduce infrastructure costs and provide superior performance for end-to-end data science workflows | true | {"morpheus":true} | Beginner | {"text" => "Learn more", "url" => "https://rapids.ai"} | cuDF, RAPIDS, cuGraph, cuML | spreadsheet | RAPIDS GPU Accelerated Data Science | morpheus |
| Video | 1780650377 | With the help of generative AI, NVIDIA operations built an AI Planner agent, using NVIDIA NIM to reduce re-planning time from hours to just seconds. | false | {"dlss_practitioner":false,"morpheus":false,"nim":false} | General Interest, Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=a9O0JipIrb4"} | NIM, cuOpt, NeMo, NeMo Retriever | spreadsheet | Talk to Your Supply Chain Data Using NIM | nim, morpheus, dlss_practitioner |
| Video | 1780650582 | Learn how to launch NVIDIA cuOpt from AWS Marketplace in three easy steps. | false | {"morpheus":false} | Intermediate | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=qAyQZmhpEgg"} | cuOpt | spreadsheet | NVIDIA cuOpt on AWS Marketplace | morpheus |
| Video | 1780650582 | Learn how to launch NVIDIA cuOpt from Microsoft Azure Marketplace in three easy steps. | false | {"morpheus":false} | Intermediate | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=W7-jMYp58rc"} | cuOpt | spreadsheet | NVIDIA cuOpt on Microsoft Azure Marketplace | morpheus |
| Documentation | 1780650582 | Explore innovative techniques for enhancing threat detection and repsonse capabilties. | false | {"cuvs":false,"morpheus":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/ai-enterprise/workflows-cybersecurity-ai/0.1.0/digital-fingerprinting/technical-brief.html"} | Morpheus | spreadsheet | Digital Fingerprinting Technical Brief | morpheus, cuvs |
| Documentation | 1780650582 | This AI workflow demonstrates how to use NVIDIA cuOpt to minimize vehicle routing inefficiencies by finding the most optimal route for a fleet of vehicles. | false | {"morpheus":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/ai-enterprise/workflows-route-optimization/0.1.0/technical-brief.html"} | cuOpt | spreadsheet | Route Optimization Technical Brief | morpheus |
| Learning Path | 1780650582 | Learn how to preprocess input data for use by cuOpt, composing variants of the problem that reflect real-world business constraints. | false | {"morpheus":false} | Beginner | {"text" => "Learn more", "url" => "https://courses.nvidia.com/courses/course-v1:DLI+T-FX-05+V1/"} | cuOpt | spreadsheet | Optimized Vehicle Routing | morpheus |
| Blog | 1780650582 | Understanding how an information retrieval pipeline works, explore NeMo Retriever NIMs, a complete retrieval solution, and how to get started. | false | {"morpheus":false} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/develop-production-grade-text-retrieval-pipelines-for-rag-with-nvidia-nemo-retriever"} | NeMo, NIM | spreadsheet | Develop Text Retrieval Pipelines for RAG | morpheus |
| NIM | 1780650582 | Explore embedding models to connect chat-based LLMs with your proprietary data and identify the right chunks of data from your diverse business data to improve response accuracy. | true | {"morpheus":true,"nemo_curator":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/explore/retrieval"} | NeMo, NIM, NeMo Retriever | spreadsheet | NVIDIA NIMs for Retrieval | morpheus, nemo_curator |
| NIM | 1780650582 | An embedding model optimized for text question-answering retrieval. | false | {"morpheus":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/nv-embedqa-e5-v5"} | NeMo, NIM | spreadsheet | NVIDIA Retrieval QA E5 Embedding Model | morpheus |
| NIM | 1780650582 | An embedding model most suitable for users who want to build a question and answer application over a large text corpus, leveraging the latest dense retrieval technologies | false | {"morpheus":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/nv-embedqa-mistral-7b-v2"} | NeMo, NIM | spreadsheet | NVIDIA Retrieval QA Mistral 7B Embedding Model | morpheus |
| NIM | 1780650582 | A suite of text embedding models that creates high-quality retrieval models optimized for performance. | false | {"morpheus":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/snowflake/arctic-embed-l"} | NeMo, NIM | spreadsheet | Snowflake Arctic Embedding Models | morpheus |
| NIM | 1780650582 | A generalist embedding model that excels across 56 tasks, including retrieval, reranking, classification, clustering, and semantic textual similarity tasks. | false | {"morpheus":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/nv-embed-v1/modelcard"} | NeMo, NIM | spreadsheet | NV-Embed Model | morpheus |
| NIM | 1780650582 | A model optimized for providing a logit score that represents how relevant a document(s) is to a given query. | false | {"morpheus":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/nv-rerankqa-mistral-4b-v3/modelcard"} | NeMo, NIM | spreadsheet | NVIDIA Retrieval QA Mistral 4B Reranking Model | morpheus |
| GitHub | 1780650582 | Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture. | false | {"cosmos":true,"dlss_practitioner":false,"morpheus":false,"rag":true} | Beginner, Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/GenerativeAIExamples"} | NeMo, NIM, Triton Inference Server, TensorRT, Dynamo | spreadsheet | Generative AI Examples | morpheus, rag, dlss_practitioner, cosmos |
| NIM | 1780650582 | Explore documentation for the latest NIM releases for retrieval including NIMs for text embedding and text reranking. | false | {"morpheus":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nim/index.html#nemo-retriever"} | NeMo, NIM | spreadsheet | NVIDIA NIM for Retrieval Documentation | morpheus |
| Documentation | 1780650582 | Explore how the RAPIDS Accelerator for Apache Spark combines the power of the RAPIDS cuDF library and the scale of the Spark distributed computing framework. | false | {"morpheus":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/spark-rapids/user-guide/latest/index.html"} | RAPIDS, cuDF | spreadsheet | Get Started with RAPIDS Spark | morpheus |
| Training | 1780650582 | This notebook demonstrates significant speed up by moving common DataFrame operations to the GPU with minimal changes to existing code. | false | {"morpheus":false} | Beginner | {"text" => "Learn more", "url" => "https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+T-DS-01+V1"} | cuDF, RAPIDS | spreadsheet | Speed Up DataFrame Operations with cuDF, DLI Course | morpheus |
| Learning Path | 1780650582 | Experience NVIDIA RAPIDS to train an XGBoost model and predict taxi ride fares. | false | {"morpheus":false} | Intermediate | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/launchpad/data-science/accelerate-data-processing-and-train-an-ai-model-to-predict-prices/"} | RAPIDS, cuML | spreadsheet | Accelerated XGBoost Hands-On Lab | morpheus |
| Example | 1780650582 | Meet the Kaggle Grandmasters of NVIDIA and learn how they use NVIDIA accelerated data science to build winning recommender systems, identify melanoma in medical imaging, and more. | false | {"morpheus":false} | General Interest | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/ai-data-science/kaggle-grandmasters/"} | CUDA, RAPIDS | spreadsheet | Kaggle Grandmasters of NVIDIA | morpheus |
| Documentation | 1780650582 | Browse RAPIDS documentation, guides, and resources. | false | {"morpheus":false} | General Interest | {"text" => "Learn more", "url" => "https://docs.rapids.ai/"} | RAPIDS | spreadsheet | RAPIDS Documentation | morpheus |
| GitHub | 1780650582 | Try scalable NVIDIA's data preprocessing and curation toolkit for LLMs. | false | {"morpheus":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/NeMo-Curator"} | NeMo, RAPIDS | spreadsheet | Get Started with NeMo Curator | morpheus |
| Documentation | 1780650582 | Learn to apply cuML to GPU accelerate XGBoost. | false | {"morpheus":false} | Intermediate | {"text" => "Learn more", "url" => "https://resources.nvidia.com/en-us-xgboost?ncid=no-ncid"} | cuML, RAPIDS | spreadsheet | GPU Accelerated XGBoost Technical Brief | morpheus |
| Demo | 1780650582 | Watch RAPIDS cuDF accelerate tabular text data by up to 30x. This demo highlights the impact of GPU-acceleration of data with large string fields, a feature of RAPIDS cuDF,. | false | {"morpheus":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=AgFVwqDcXCs"} | cuDF, RAPIDS | spreadsheet | cuDF Accelerated String Data Processing Demo | morpheus |
| Webinar | 1780650582 | Learn how to improve the accuracy and scalability of text retrieval for production-ready generative AI pipelines - and deploy where your data resides. | true | {"nemo_curator":true} | Beginner | {"text" => "Learn more", "url" => "https://info.nvidia.com/World-Class-Text-Retrieval-Accuracy-Generative-AI.html?ondemandrgt=yes#"} | NeMo Retriever | spreadsheet | Achieve World-Class Text Retrieval Accuracy | nemo_curator |
| Guide | 1780650582 | Steps to getting access to state-of-the-art models for enterprise semantic search applications, delivering accurate answers quickly at scale for text retriever APIs for embedding. | false | {"nemo_curator":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nim/nemo-retriever/text-embedding/latest/getting-started.html"} | NeMo Retriever | spreadsheet | Embedding Guide | nemo_curator |
| Guide | 1780650582 | A getting started guide for creating robust copilots, chatbots, and AI assistants from start to finish with text Retriever NIM APIs for reranking. | false | {"nemo_curator":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nim/nemo-retriever/text-reranking/latest/getting-started.html"} | NeMo Retriever | spreadsheet | Reranking Guide | nemo_curator |
| GitHub | 1780650582 | Build and deploy end-to-end RAG examples anywhere with the latest accelerated NVIDIA NeMo Retriever NIM microservices for embedding and reranking. | false | {"nemo_curator":false} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/GenerativeAIExamples/releases"} | NeMo Retriever, NIM | spreadsheet | Generative AI Examples on GitHub | nemo_curator |
| Video | 1780650582 | How to triage a software container for vulnerabilities, quickly, using generative AI, RAG, NVIDIA NIM inference microservices, NeMo Retriever, and Morpheus. | false | {"dlss_practitioner":false,"nemo_curator":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=CEi_I7FMRV4&t=7s"} | NeMo Retriever, NIM, Morpheus, NeMo | spreadsheet | Talk to Your Supply Chain Data Using NIM | nemo_curator, dlss_practitioner |
| Model | 1780650582 | Text classification model to classify documents into one of 26 domain classes such as finance, health, business and industrial science. | true | {"nemo_customizer":true} | Intermediate | {"text" => "Learn more", "url" => "https://huggingface.co/nvidia/domain-classifier"} | NeMo Curator | spreadsheet | Domain Classifier | nemo_customizer |
| Model | 1780650582 | A text classification model for qualitative data annotation, quality-specific blending, and metadata tagging, classifying documents as 'High,' 'Medium,' or 'Low' quality. | false | {"nemo_customizer":false} | Intermediate | {"text" => "Learn more", "url" => "https://huggingface.co/nvidia/quality-classifier-deberta"} | NeMo Curator | spreadsheet | Quality Classifier Deberta | nemo_customizer |
| Samples | 1780650582 | The Python library offers easy-to-use methods for expanding the functionality of your curation pipeline while eliminating scalability concerns. | true | {"nemo_customizer":true} | Intermediate | {"text" => "Learn more", "url" => "https://pypi.org/project/nemo-curator/"} | NeMo Curator | spreadsheet | NeMo Curator PyPI Package | nemo_customizer |
| Example | 1780650582 | Explore these examples showcasing the powerful features supported by NeMo Curator. | true | {"nemo_customizer":true} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/NeMo-Curator/tree/main/examples"} | NeMo Curator | spreadsheet | NeMo Curator Examples | nemo_customizer |
| Guide | 1780650582 | Dive into NeMo Curator's APIs and explore various parameters you can tweak to suit your use case. | true | {"nemo_customizer":true} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nemo-framework/user-guide/latest/datacuration/api/index.html"} | NeMo Curator | spreadsheet | NeMo Curator API Reference | nemo_customizer |
| Documentation | 1780650582 | Read documentation for downloading and extracting text, working with DocumentDataset, document filtering and more. | false | {"nemo_customizer":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nemo-framework/user-guide/latest/datacuration/index.html"} | NeMo Curator | spreadsheet | NeMo Curator Documentation | nemo_customizer |
| Tutorial | 1780650582 | These tutorials provide the coding foundation for building applications that consume the data that NeMo Curator curates. | false | {"nemo_customizer":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/NeMo-Curator/tree/main/tutorials"} | NeMo Curator | spreadsheet | NeMo Curator Tutorials | nemo_customizer |
| Guide | 1780650582 | NeMo Curator offers a variety of methods for determining the quality of a piece of text. Here are the methods in increasing order of compute required for them. | false | {"nemo_customizer":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nemo-framework/user-guide/latest/datacuration/bestpractices.html#data-curator-best-practices"} | NeMo Curator | spreadsheet | NeMo Curator Best Practices | nemo_customizer |
| Video | 1780650582 | In under 5 minutes and with only 100 lines of Python code, this demo shows how LLMs can be developed and deployed for AI chatbot applications. | true | {"dlss_practitioner":true} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=N_OOfkEWcOk&t=3s"} | NeMo | spreadsheet | Build a Retrieval-Augmented Generation Chatbot in 5 Minutes | dlss_practitioner |
| Video | 1780650582 | This video explains how to create a multimodal AI retrieval-augmented generation (RAG) application | false | {"cosmos":false,"dlss_practitioner":false,"rag":false} | Intermediate, Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=NaT5Eo97_I0"} | NIM | spreadsheet | Multimodal AI RAG with LlamaIndex, NVIDIA NIM, and Milvus | rag, dlss_practitioner, cosmos |
| Video | 1780650582 | Learn how to use a developer toolkit to create, test, and customize pretrained AI models on NVIDIA RTX-powered AI workstations. | false | {"dlss_practitioner":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=usnXmiBuUjc"} | AI Workbench | spreadsheet | Create a RAG Chatbot Using NVIDIA AI Workbench | dlss_practitioner |
| Video | 1780650582 | Walk through a complete start-to-finish installation of a generative AI retrieval-augmented generation (RAG) system with Lee Bushen, solutions architect at NVIDIA. | false | {"dlss_practitioner":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=UXNyf88xI8w"} | AI Workbench | spreadsheet | Setting Up a RAG Demo on NVIDIA AI Workbench | dlss_practitioner |
| Video | 1780650582 | Get started with the NVIDIA Riva Parakeet-CTC-1.1B NIM that delivers record-setting automatic speech recognition accuracy and performance. | false | {"dlss_practitioner":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=-g8wE3zBmCQ"} | NIM | spreadsheet | Enabling Voice Interaction with a RAG Pipeline Using NIM | dlss_practitioner |
| Video | 1780650582 | In this video, we dive into the essentials of creating a Q&A chatbot. | false | {"cosmos":false,"dlss_practitioner":false,"rag":false} | Intermediate, Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=09uDCmLzYHA"} | NIM | spreadsheet | LLM Assistants with LlamaIndex, NVIDIA NIM, and Milvus | rag, dlss_practitioner, cosmos |
| Learning Path | 1780650582 | In this introductory course, we will provide a high-level overview of RAG and how it improves generative AI. | false | {"dlss_practitioner":false} | Intermediate | {"text" => "Learn more", "url" => "https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-16+V1"} |  | spreadsheet | Augment your LLM Using Retrieval Augmented Generation | dlss_practitioner |
| Session | 1780650582 | Learn how to construct the simple RAG pipeline for context enrichment and approaches for reasoning with images to help an LLM-powered agent converse about image-dense research papers. | false | {"dlss_practitioner":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/siggraph2024-dli01/"} |  | spreadsheet |  Extending RAG to Multimodal Documents | dlss_practitioner |
| Session | 1780650582 | Watch the most inventive developers pitch their cutting-edge approach to RAG and how to enable use cases such as customer service, code generation, or copilots. | false | {"dlss_practitioner":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc24-se62831/"} | Riva, Triton Inference Server, TensorRT, NeMo, Dynamo | spreadsheet |  Best Practices for Building LLM RAG Using NVIDIA AI | dlss_practitioner |
| Blog | 1715864149 | Integrate RTX into your own game and understand what ReSTIR means for the future of real-time lighting in this May 21 webinar. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://nvda.ws/43mz6Ht"} | DLSS, RTX GPU | techblog | Webinar: Path Traced Visuals in Unreal Engine | dlss_practitioner |
| Blog | 1711009800 | The union of ray tracing and AI is pushing graphics fidelity and performance to new heights. Helping you build optimized, bug-free applications in this era of… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/upgrade-your-graphics-explore-new-ray-tracing-features-for-nvidia-nsight-tools/"} | DLSS, Nsight Tools - Graphics | techblog | Upgrade Your Graphics: Explore New Ray Tracing Features for NVIDIA Nsight Tools | dlss_practitioner |
| Blog | 1708440175 | Join us at the Game Developers Conference March 18-22 to discover how the latest generative AI and NVIDIA RTX technologies are accelerating game development. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://nvda.ws/3xVpGnG#new_tab"} | DLSS, RTX GPU | techblog | Event: NVIDIA at GDC 2024 | dlss_practitioner |
| Blog | 1703077844 | Six years ago, real-time ray tracing was seen as a pipe dream. Back then, cinematic-quality rendering required computer farms to slowly bake every frame… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/qa-real-time-ray-tracing-in-a-cinematic-scene/"} | DLSS, RTX GPU | techblog | Q&A: Real-Time Ray Tracing in a Cinematic Scene | dlss_practitioner |
| Blog | 1701336600 | In this webinar, see how YouTube creator JSFILMZ uses NVIDIA RTX and how it enables him to iterate on creative ideas. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://gateway.on24.com/wcc/experience/elitenvidiabrill/1407606/3849291/level-up-with-nvidia#new_tab"} | DLSS, RTX Direct Illumination, RTX GPU | techblog | Webinar: Explore NVIDIA RTX Workflows with JSFILMZ | dlss_practitioner |
| Blog | 1694444400 | Explore how ray-traced caustics combined with NVIDIA RTX features can enhance the performance of your games. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://nvda.ws/3rciiVt#new_tab"} | DLSS, RTX GPU, RTX Direct Illumination, RTX Global Illumination, RTX Memory Utility | techblog | Webinar: NVIDIA RTX Caustics Branch of Unreal Engine | dlss_practitioner |
| Blog | 1692957600 | Ray Reconstruction is a new neural network for all GeForce RTX GPUs that further improves the image quality of ray-traced images. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/generate-groundbreaking-ray-traced-images-with-next-generation-nvidia-dlss/"} | DLSS, RTX GPU | techblog | Generate Groundbreaking Ray-Traced Images with Next-Generation NVIDIA DLSS | dlss_practitioner |
| Blog | 1688997600 | On July 26, walkthrough DLSS 3 features within Unreal Engine 5.2 and learn how to best use the latest updates. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://nvda.ws/3O5ywrS#new_tab"} | DLSS | techblog | Webinar: NVIDIA DLSS 3 and Unreal Engine 5.2 | dlss_practitioner |
| Blog | 1687860000 | This release offers Unreal Engine, NVIDIA RTX, and neural rendering advancements. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://nvda.ws/3COWBwK#new_tab"} | DLSS, RTX Direct Illumination, RTX Global Illumination | techblog | Release: NVIDIA RTX Branch of Unreal Engine 5.2 | dlss_practitioner |
| Blog | 1687327200 | NVIDIA DLSS 3 is a neural graphics technology that multiplies performance using AI image reconstruction and frame generation. It’s a combination of three core… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/now-available-nvidia-dlss-3-for-unreal-engine-5/"} | DLSS, RTX GPU | techblog | Now Available: NVIDIA DLSS 3 for Unreal Engine 5 | dlss_practitioner |
| Blog | 1687327200 | NVIDIA DLSS Frame Generation is the new performance multiplier in DLSS 3 that uses AI to create entirely new frames. This breakthrough has made real-time path… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-successfully-integrate-dlss-3/"} | DLSS, RTX GPU, Streamline | techblog | How to Successfully Integrate NVIDIA DLSS 3 | dlss_practitioner |
| Blog | 1681136779 | Learn how to use the latest NVIDIA RTX technology in NVIDIA Nsight Graphics and get your questions answered in a live Q&A session with experts. | false | {} |  | {"text" => "Learn more", "url" => "https://nvda.ws/43mz6Ht#new_tab"} | DLSS, Nsight Tools - Graphics | techblog | Upcoming Event: Level Up with NVIDIA Nsight Graphics and Optimize Your Game | dlss_practitioner |
| Blog | 1679392800 | NVIDIA T4 was introduced 4 years ago as a universal GPU for use in mainstream servers. T4 GPUs achieved widespread adoption and are now the highest-volume… | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/supercharging-ai-video-and-ai-inference-performance-with-nvidia-l4-gpus/"} | CV-CUDA, DLSS, Omniverse | techblog | Supercharging AI Video and AI Inference Performance with NVIDIA L4 GPUs | dlss_practitioner |
| Blog | 1679306400 | At GDC 2023, NVIDIA released new tools that make real-time path tracing more accessible to developers while accelerating the creation of ultra-realistic game… | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/ultra-realism-made-accessible-with-ai-and-path-tracing-technologies/"} | DLSS, Nsight Tools - Graphics | techblog | Ultra-Realism Made Accessible with NVIDIA AI and Path Tracing Technologies | dlss_practitioner |
| Blog | 1678434910 | Learn about the latest path tracing technologies and how they’re accelerating game development. | false | {} |  | {"text" => "Learn more", "url" => "https://nvda.ws/3ywreFf#new_tab"} | DLSS, RTX GPU | techblog | Top Path Tracing Sessions at NVIDIA GTC 2023 | dlss_practitioner |
| Blog | 1677157200 | Learn about the latest NVIDIA DLSS updates for Super Resolution and Unreal Engine. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-dlss-updates-for-super-resolution-and-unreal-engine/"} | DLSS | techblog | NVIDIA DLSS Updates for Super Resolution and Unreal Engine | dlss_practitioner |
| Blog | 1676458800 | Join us for the latest on NVIDIA RTX and neural rendering technologies, and learn how they are accelerating game development. | false | {} |  | {"text" => "Learn more", "url" => "https://nvda.ws/3lzoROE#new_tab"} | DLSS, RTX GPU | techblog | Top Game Development Sessions at NVIDIA GTC 2023 | dlss_practitioner |
| Blog | 1668506400 | Learn about the Unreal Engine 5.1 release, including next-generation RTX lighting and speed increases to help you keep pace with rigorous development cycles. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-the-future-of-real-time-graphics-with-nvidia-and-unreal-engine-5-1/"} | DLSS | techblog | Building the Future of Real-Time Graphics with NVIDIA and Unreal Engine 5.1 | dlss_practitioner |
| Blog | 1664886600 | We sat down with NetEase Lead Programmer Dinggen Zhan to find out how his team integrated path tracing into the open world of Justice.  | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/implementing-path-tracing-in-justice-an-interview-with-dinggen-zhan-of-netease/"} | DLSS, RTX GPU | techblog | Implementing Path Tracing in 'Justice': An Interview with Dinggen Zhan of NetEase | dlss_practitioner |
| Blog | 1663746600 | Discover how NVIDIA DLSS 3 and RTX path tracing are accelerating ultra realistic game development. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-ultrarealistic-game-development-with-nvidia-dlss-3-and-rtx-path-tracing/"} | DLSS, Nsight Tools - Graphics | techblog | Accelerating Ultra-Realistic Game Development with NVIDIA DLSS 3 and NVIDIA RTX Path Tracing | dlss_practitioner |
| Blog | 1661334660 | Learn about the latest RTX and neural rendering technologies and how they are accelerating game development. | false | {} |  | {"text" => "Learn more", "url" => "https://register.nvidia.com/events/widget/nvidia/gtcfall2022/1659579776790001LIbC?nvid=nv-int-tblg-613554-vt10#new_tab"} | DLSS, Nsight Tools - Graphics | techblog | Top Sessions for Game Developers at GTC 2022 | dlss_practitioner |
| Blog | 1658311200 | Learn more about the NVIDIA RTX platform, ask questions about game integrations, and connect with NVIDIA experts at our new webinar series. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/explore-the-nvidia-rtx-platform-within-game-engines-at-new-level-up-with-nvidia-webinars/"} | DLSS, RTX GPU | techblog | Explore the RTX Platform within Game Engines at New ‘Level Up with NVIDIA’ Webinars | dlss_practitioner |
| Blog | 1652263200 | This feature-rich branch is fully compatible with Unreal Engine 5, and contains all of the latest developments from NVIDIA in the world of ray tracing. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/optimize-your-ray-tracing-graphics-with-the-new-nvidia-rtx-branch-of-unreal-engine-5/"} | DLSS, RTX GPU | techblog | Optimize Your Ray Tracing Graphics with the New NVIDIA RTX Branch of Unreal Engine 5 | dlss_practitioner |
| Blog | 1649146200 | With the launch of Unreal Engine 5, NVIDIA announces support with key RTX technologies for developers to propel their games and experiences to the next level. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/shaping-the-future-of-graphics-with-nvidia-technologies-in-unreal-engine-5/"} | DLSS, Omniverse, Reflex, RTX GPU | techblog | Shaping the Future of Graphics with NVIDIA Technologies in Unreal Engine 5 | dlss_practitioner |
| Blog | 1646899998 | Notable sessions in the making of Green Planet AR, animating realistic digital humans, building a power industry digital twin, and making virtual production more... | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/insiders-guide-to-gtc-ar-vr-rendering-simulation-and-video-streaming/"} | CloudXR, DLSS, Maxine, PhysicsNeMo, Nsight Tools - Graphics | techblog | Insider’s Guide to GTC: AR/VR, Rendering, Simulation, and Video Streaming | dlss_practitioner, xr, maxine |
| Blog | 1736193420 | Training physical AI models used to power autonomous machines, such as robots and autonomous vehicles, requires huge amounts of data. Acquiring large sets of… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-build-a-generative-ai-enabled-synthetic-data-pipeline-for-perception-ai/"} | Omniverse | techblog | How to Build a Generative AI-Enabled Synthetic Data Pipeline for Perception-Based Physical AI | usd_resources |
| Video | 1780650582 | Learn how to finish up and export your animation in Autodesk Maya and import your files into other tools, such as Unreal, to further bring your animation to life. | false | {"ray_tracing":false,"usd_resources":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=W5GLZGWzxRk&list=PL5B692fm6--sRqOTsuIExj746qMi3MOH2&index=4"} | RTX Kit, ACE | spreadsheet | Animating with Autodesk Maya and NVIDIA ACE | ray_tracing, usd_resources |
| Video | 1780650582 | Bring your character to life using blend shapes. Discover how to navigate the Autodesk Maya workflow so that you can seamlessly format your character. | false | {"ray_tracing":false,"usd_resources":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=5kdqROvatDI&list=PL5B692fm6--sRqOTsuIExj746qMi3MOH2&index=5"} | RTX Kit, ACE | spreadsheet | Setting Up Your Character with Autodesk Maya and NVIDIA ACE | ray_tracing, usd_resources |
| Video | 1780650582 | In this video, we’ll walk through how you can generate an API key to enable you to use the microservice from Autodesk Maya and NVIDIA ACE. | false | {"ray_tracing":false,"usd_resources":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=XFZ149RPLY0&list=PL5B692fm6--sRqOTsuIExj746qMi3MOH2&index=6"} | RTX Kit, ACE | spreadsheet | Get and Setup API Key for Autodesk Maya and NVIDIA ACE | ray_tracing, usd_resources |
| Video | 1780650582 | Ready to start using Autodesk Maya? In this NVIDIA ACE tutorial video, we’ll outline system requirements and how to successfully download and deploy this tool. | false | {"ray_tracing":false,"usd_resources":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=FsY81c3dDbI&list=PL5B692fm6--sRqOTsuIExj746qMi3MOH2&index=7"} | RTX Kit, ACE | spreadsheet | How to Download and Install Autodesk Maya for NVIDIA ACE | ray_tracing, usd_resources |
| Video | 1780650582 | Using audio-input only, NVIDIA ACE can generate lifelike facial animation in real-time. Discover the technologies that power Autodesk Maya and how it can be used in your workflow. | false | {"ray_tracing":false,"usd_resources":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=C3oDLMDgXc0&list=PL5B692fm6--sRqOTsuIExj746qMi3MOH2&index=8"} | RTX Kit, ACE | spreadsheet | Explore the Capabilities of Autodesk Maya and NVIDIA ACE | ray_tracing, usd_resources |
| Video | 1780650582 | Using Python, you can build your own tool that will access the Audio2Face microservice, and use examples from the NVIDIA Github. | false | {"ray_tracing":false,"usd_resources":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=e6iW98IrKnM&list=PL5B692fm6--sRqOTsuIExj746qMi3MOH2&index=2"} | RTX Kit, ACE | spreadsheet | Python Access to Audio2Face | ray_tracing, usd_resources |
| Video | 1780650582 | In this tutorial video, learn more about how to adjust settings in Autodesk Maya to fine-tune your character animation based on personality, reactions, and small facial-movements. | false | {"ray_tracing":false,"usd_resources":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=2LMs3tHc4Xs&list=PL5B692fm6--sRqOTsuIExj746qMi3MOH2&index=4"} | RTX Kit, ACE | spreadsheet | Character Animation with Autodesk Maya and NVIDIA ACE | ray_tracing, usd_resources |
| Video | 1780650582 | Explore the AutoDesk Maya and NVIDIA ACE source code, including requirements and steps for downloading and what is included in the source code. | false | {"ray_tracing":false,"usd_resources":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=D_gAn6cR_QM&list=PL5B692fm6--sRqOTsuIExj746qMi3MOH2&index=2"} | RTX Kit, ACE | spreadsheet | Exploring the Autodesk Maya and NVIDIA ACE Open Source Code | ray_tracing, usd_resources |
| Blog | 1734620888 | Classifier models are specialized in categorizing data into predefined groups or classes, playing a crucial role in optimizing data processing pipelines for… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/enhance-your-training-data-with-new-nvidia-nemo-curator-classifier-models/"} | cuDF, NeMo, NeMo Curator, RAPIDS | techblog | Enhance Your Training Data with New NVIDIA NeMo Curator Classifier Models | nemo_curator |
| Documentation | 1780650377 | Learn more about high-performance features, applications, architecture, release notes, and more for NVIDIA NIM for LLMs. | true | {"nim":true} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nim/large-language-models/latest/introduction.html"} | NIM | spreadsheet | NIM Documentation Introduction | nim |
| Documentation | 1780650377 | Learn how to benchmark deployment of Large Language Models (LLMs), popular metrics and parameters, as well as a step-by-step guide. | false | {"nim":false} |  | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nim/benchmarking/llm/latest/index.html"} | NIM | spreadsheet | NIM for LLM Benchmarking Guide | nim |
| Video | 1780650377 | Watch this video for a demo on how to quickly deploy NVIDIA NIM microservices, locally with Python or programmatically through Docker. This tutorial focuses on deploying Llama 3. | false | {"nim":false} |  | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=087spL8hMvM"} | NIM | spreadsheet | How to Deploy NVIDIA NIM in 5 Minutes | nim |
| Video | 1780650377 | See how AgentMorpheus, an event-driven, retrieval-augmented generation application enables faster, more secure software vulnerability analysis. | false | {"nim":false} |  | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=CEi_I7FMRV4"} | NIM, Morpheus | spreadsheet | Supercharge Software Delivery With Event-Driven RAG | nim |
| Video | 1780650377 | This video explains how to create a multimodal AI retrieval-augmented generation (RAG) application. | false | {"nim":false} |  | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=NaT5Eo97_I0&t=23s"} | NIM | spreadsheet | Building Multimodal AI RAG with LlamaIndex, NVIDIA NIM, and Milvus | nim |
| Video | 1780650377 | The video demonstrates the benefits of NIM microservices through a crossword puzzle-solving application powered by LLMs, scaling concurrent LLM requests from 50 to 200. | false | {"nim":false} |  | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=WUBl6SMRy0g&t=12s"} | NIM | spreadsheet | Generative AI Inference Powered by NVIDIA NIM: Performance and TCO Advantage | nim |
| Documentation | 1780650377 | Your guide to NVIDIA APIs including NIM and CUDA-X microservices | false | {"cosmos":true,"nim":false,"rag":true} | Intermediate | {"text" => "Learn more", "url" => "https://docs.api.nvidia.com/"} | NIM, CUDA-X | spreadsheet | NVIDIA API Documentation | nim, rag, cosmos |
| NIM | 1780650377 | See the latest releases of downloadable NVIDIA NIM microservices. | false | {"nim":false} |  | {"text" => "Learn more", "url" => "https://build.nvidia.com/nim?filters=nimType%3Anim_type_run_anywhere"} | NIM | spreadsheet | Explore Downloadable NIM microservices | nim |
| GitHub | 1780650377 | This repository is a starting point for developers looking to integrate with the NVIDIA software ecosystem to speed up their generative AI systems. | false | {"nim":false} |  | {"text" => "Learn more", "url" => "https://github.com/nvidia/GenerativeAIExamples"} | NIM | spreadsheet | Generative AI Examples on Github | nim |
| Video | 1780650377 | Learn how to build AI agents for content creation and digital design in just 5 minutes using NVIDIA NIM microservices—powered by Llama 3.1 405B and stable diffusion models. | false | {"cosmos":true,"nim":false,"rag":true} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=mg0kwpmUhPU"} | NIM | spreadsheet | How to Build a Simple AI Agent in 5 Minutes with NVIDIA NIM | nim, rag, cosmos |
| NIM | 1780650377 | Advanced LLM for synthetic data generation, distillation, and inference for chatbots, coding, and domain-specific tasks. | false | {"nim":false} |  | {"text" => "Learn more", "url" => "https://build.nvidia.com/meta/llama-3_1-405b-instruct"} | NIM | spreadsheet | Llama3.1 405B NIM microservice | nim |
| Blog | 1734688800 | Innovation in medical devices continues to accelerate, with a record number authorized by the FDA every year. When these new or updated devices are introduced… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-a-generative-ai-medical-device-training-assistant-with-nvidia-nim-microservices/"} | NIM | techblog | Build a Generative AI Medical Device Training Assistant with NVIDIA NIM Microservices | conversational_ai |
| Blog | 1734688029 | Grab your copy of GPU Zen 3 to learn about the latest in real-time rendering. More info >… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://nvda.ws/3ZrfAtu#new_tab"} | DLSS, RTX GPU | techblog | Just Released: GPU Zen 3: Advanced Rendering Techniques | dlss_practitioner |
| Blog | 1691494260 | Learn about building XR into your applications and creating immersive experiences using Omniverse Kit 105. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/rtx-powered-spatial-framework-delivers-full-ray-tracing-with-usd-for-xr-pipelines/"} | CloudXR, Omniverse, RTX GPU | techblog | RTX-Powered Spatial Framework Delivers Full Ray Tracing with USD for XR Pipelines | xr |
| Blog | 1679551200 | During GTC 2023, NVIDIA announced the latest release of NVIDIA CloudXR that enables you to customize this SDK for your applications and customers… | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/dialed-into-5g-cloudxr-4-0-brings-enhanced-flexibility-and-scalability-for-xr-deployment/"} | CloudXR | techblog | Dialed Into 5G: NVIDIA CloudXR 4.0 Brings Enhanced Flexibility and Scalability for XR Deployment | xr |
| Blog | 1676451600 | When it comes to creating immersive, virtual environments, users want the experience to look as realistic and lifelike as possible. And while AIO headsets… | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-xr-applications-on-pc-for-high-quality-graphics/"} | CloudXR, Omniverse, Omniverse ACE, RTX GPU | techblog | Building XR Applications on PC for High-Quality Graphics | xr |
| Blog | 1664971200 | Extended reality, or XR, is a collective term that refers to immersive technologies, including virtual reality, augmented reality, and mixed reality. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://blogs.nvidia.com/blog/2022/05/20/what-is-extended-reality/#new_tab"} | CloudXR | techblog | Explainer: What Is Extended Reality? | xr |
| Blog | 1652695200 | The latest release of NVIDIA CloudXR includes some of the most requested features from the developer community, such as support for preconfiguring a remote server. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-scalable-immersive-experiences-with-networking-apis-swift-support-and-more-using-nvidia-cloudxr-3-2/"} | CloudXR | techblog | Build Scalable Immersive Experiences with Networking APIs, Swift Support, and More Using NVIDIA CloudXR 3.2 | xr |
| Blog | 1648022400 | Learn how servers can be built to deliver immersive workloads and take advantage of compute power to combine streaming XR applications with AI and other computing... | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/deploying-xr-applications-in-private-networks-on-a-server-platform/"} | CloudXR, RTX GPU | techblog | Deploying XR Applications in Private Networks on a Server Platform | xr |
| Blog | 1647269955 | Building one-click delivery of PC-based VR applications to standalone devices by streaming from the Cloud using NVIDIA CloudXR SDK and Innoactive Portal. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/delivering-one-click-vr-streaming-using-innoactive-portal-and-nvidia-cloudxr/"} | CloudXR | techblog | Delivering One-Click VR Streaming Using Innoactive Portal and NVIDIA CloudXR | xr |
| Blog | 1645000200 | Edge computing can take different forms, each with specific use cases. This post looks at several types of far edge and near edge scenarios and how they're used. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/different-types-of-edge-computing/"} | CloudXR, Metropolis | techblog | Different Types of Edge Computing | xr |
| Blog | 1780650582 | Learn about NVIDIA Cosmos and its key features that help developers accelerate up physical AI development. | false | {"xr":false} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/advancing-physical-ai-with-nvidia-cosmos-world-foundation-model-platform/"} | Cosmos, DRIVE, Jetson, NeMo, NeMo Curator, Omniverse | spreadsheet | An Introduction to Cosmos | xr |
| Blog | 1736191320 | NVIDIA today unveiled next-generation hardware for gamers, creators, and developers—the GeForce RTX 50 Series desktop and laptop GPUs. Alongside these GPUs… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-rtx-neural-rendering-introduces-next-era-of-ai-powered-graphics-innovation/"} | RTX GPU, RTX Kit | techblog | NVIDIA RTX Neural Rendering Introduces Next Era of AI-Powered Graphics Innovation | rtx_kit_practitioner |
| Blog | 1736194075 | Spatial computing experiences are transforming how we interact with data, connecting the physical and digital worlds through technologies like extended reality… | false | {} | Beginner, Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/experience-digital-twins-in-xr-with-nvidia-omniverse-spatial-streaming/"} | Omniverse, RTX GPU | techblog | Experience Digital Twins in XR with NVIDIA Omniverse Spatial Streaming | usd_resources |
| Whitepaper | 1780650582 | Read how Cosmos is helping physical AI developers solve some of the most critical problems of our society. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://research.nvidia.com/publication/2025-01_cosmos-world-foundation-model-platform-physical-ai"} | Cosmos | spreadsheet | WFM Platform for Physical AI | xr |
| Model | 1780650582 | Explore the first wave of first versions of pre-trained models on NGC for generating physics-aware videos and world states are now available openly to developers. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/cosmos/collections/cosmos"} | Cosmos | spreadsheet | WFMs on NGC | xr |
| Model | 1780650582 | Explore the first wave of first versions of pre-trained models on Hugging Face for generating physics-aware videos and world states are now available openly to developers. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://huggingface.co/collections/nvidia/cosmos-6751e884dc10e013a0a0d8e6"} | Cosmos | spreadsheet | WFMs on Hugging Face | xr |
| Blog | 1736195400 | Kit 106.5 now supports USDz exports, improved new project flow, and preview of new RTX real-time mode. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://nvda.ws/3DNe3Wj#new_tab"} | Omniverse | techblog | Just Released: Omniverse Kit SDK 106.5 | usd_resources |
| Demo | 1780650582 | Watch this demo to learn about the integration of Cosmos with NVIDIA Omniverse to create a sim-to-real synthetic data and multiverse simulation engine for physical AI. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://youtu.be/9Uch931cDx8"} | Cosmos | spreadsheet | Accelerating Physical AI | xr |
| Podcast | 1780650582 | Listen to Ming-Yu Liu, VP of research at NVIDIA, discuss the significance of world foundation models and their potenital to transform various industries on the NVIDIA AI Podcast. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://soundcloud.com/theaipodcast/world-foundation-models"} | Cosmos | spreadsheet | Introduction to WFMs | xr |
| Blog | 1780650582 | Brand new video foundation model capabilities in the NVIDIA NeMo framework are helping revolutionize various industries including robotics, autonomous vehicles, and entertainment. | false | {"xr":false} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerate-custom-video-foundation-model-pipelines-with-new-nvidia-nemo-framework-capabilities/"} | Cosmos | spreadsheet | Accelerate Custom VFM Pipelines | xr |
| Blog | 1736421616 | NVIDIA is excited to announce the release of Nemotron-CC, a 6.3-trillion-token English language Common Crawl dataset for pretraining highly accurate large… | false | {} | Beginner, Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/announcing-nemotron-cc-a-trillion-token-english-language-dataset-for-llm-pretraining/"} | NeMo, NeMo Curator | techblog | Announcing Nemotron-CC: A Trillion-Token English Language Dataset for LLM Pretraining | conversational_ai, nemo_curator |
| Blog | 1736789663 | Take the three self-paced courses at no cost through the NVIDIA Deep Learning Institute (DLI). | false | {} | Beginner | {"text" => "Learn more", "url" => "https://nvda.ws/3XnK9OF#new_tab"} | Omniverse | techblog | Just Released: Learn OpenUSD with New Applied Concepts Courses | usd_resources |
| Blog | 1736934699 | AI-driven flood modeling and 3D visualization tools are transforming how communities prepare for and respond to climate risks. In this NVIDIA GTC 2024 session… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/strengthening-climate-resilience-with-ai-powered-flood-modeling-and-3d-visualizations/"} | A100, Omniverse | techblog | Strengthening Climate Resilience with AI-Powered Flood Modeling and 3D Visualizations | usd_resources |
| Blog | 1726496381 | The NVIDIA Maxine AI developer platform is a suite of NVIDIA NIM microservices, cloud-accelerated microservices, and SDKs that offer state-of-the-art features… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/orchestrating-innovation-at-scale-with-nvidia-maxine-and-texel/"} | Maxine | techblog | Orchestrating Innovation at Scale with NVIDIA Maxine and Texel | maxine |
| Blog | 1723474391 | Effective video communication is important for everyone who communicates online. For businesses, educators, and content creators, it is vital. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/elevating-video-communication-with-the-nvidia-maxine-ai-developer-platform-and-videorequest/"} | Maxine | techblog | Elevating Video Communication with the NVIDIA Maxine AI Developer Platform and VideoRequest | maxine |
| Blog | 1722259800 | At SIGGRAPH 2024 this week, NVIDIA is showcasing the latest advancements in the NVIDIA Maxine AI developer platform, available through NVIDIA AI Enterprise. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/advancing-telepresence-and-next-generation-digital-humans-with-nvidia-maxine/"} | Maxine | techblog | Advancing Telepresence and Next-Generation Digital Human Technology with NVIDIA Maxine | maxine |
| Blog | 1718020773 | In today’s digital age, creating realistic animated characters is crucial for filmmakers, game developers, and content creators looking to bring their visions… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/reallusion-brings-digital-characters-to-life-with-nvidia-ai/"} | Maxine | techblog | Reallusion Brings Digital Characters to Life with NVIDIA AI | maxine |
| Blog | 1709824255 | Learn how AI and NVIDIA Maxine are transforming the video streaming and conferencing industry. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://nvda.ws/3P8tOKc%20#new_tab"} | Maxine | techblog | Top Video Streaming and Conferencing Sessions at NVIDIA GTC 2024 | maxine |
| Blog | 1704884400 | NVIDIA Maxine Live Portrait webpage as seen on NVIDIA AI Foundation Models. | false | {} | General Interest, Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/experience-real-time-audio-and-video-communication-with-nvidia-maxine/"} | Maxine | techblog | Experience Real-Time Audio and Video Communication with NVIDIA Maxine  | maxine |
| Blog | 1694692800 | The broadcast industry is undergoing a transformation in how content is created, managed, distributed, and consumed. This transformation includes a shift from… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/software-defined-broadcast-with-nvidia-holoscan-for-media/"} | Ampere, BlueField DPU, CV-CUDA, DeepStream, Holoscan, Maxine | techblog | Software-Defined Broadcast with NVIDIA Holoscan for Media | maxine |
| Blog | 1679486400 | NVIDIA Maxine has expanded to provide microservices that can be deployed in private or public clouds, enabling developers to leverage GPU power from remote servers.  | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-maxine-elevates-video-conferencing-in-the-cloud/"} | Maxine | techblog | NVIDIA Maxine Elevates Video Conferencing in the Cloud | maxine |
| Blog | 1673503200 | Video conferencing is at the heart of several streaming use cases, such as vlogging, vtubing, webcasting, and even video streaming for remote work. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/improve-human-connection-in-video-conferences-with-nvidia-maxine-eye-contact/"} | Maxine | techblog | Improve Human Connection in Video Conferences with NVIDIA Maxine Eye Contact | maxine |
| Blog | 1672912800 | At CES 2023, NVIDIA Maxine announced SDK updates and new microservices, enabling clear communications in video conferences through private or public clouds. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/new-maxine-microservices-enhance-real-time-audio-and-video-effects-for-video-conferences-at-scale/"} | Maxine | techblog | New NVIDIA Maxine Microservices Enhance Real-Time Audio and Video Effects for Conferences at Scale | maxine |
| Blog | 1661950800 | Learn about the latest traditional and neural rendering technologies and how they are accelerating professional visualization. | false | {} |  | {"text" => "Learn more", "url" => "https://register.nvidia.com/events/widget/nvidia/gtcfall2022/1661384036108001cWc5#new_tab"} | Maxine, Nsight Tools - Graphics | techblog | Top Rendering Sessions for Developers at GTC 2022 | maxine |
| Blog | 1647943320 | At GTC 2022, NVIDIA announced Riva 2.0, Merlin 1.0, new features to NVIDIA Triton, and more. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/major-updates-to-nvidia-ai-software-advancing-speech-recommenders-inference-and-more-announced-at-nvidia-gtc-2022/"} | Maxine, Merlin, NeMo Framework, Triton Inference Server, Dynamo | techblog | Major Updates to NVIDIA AI Software Advancing Speech, Recommenders, Inference, and More Announced at NVIDIA GTC 2022 | maxine |
| NIM | 1780650582 | Industry leading content safety model from NVIDIA for enhancing the safety and moderation capabilities of LLMs. | true | {"nemo_evaluator":true} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/llama-3_1-nemoguard-8b-content-safety"} | NeMo Guardrails | spreadsheet | Llama 3.1 NemoGuard 8B ContentSafety | nemo_evaluator |
| NIM | 1780650582 | First-of-a-kind topic classification model from NVIDIA for ensuring AI conversations remain on-topic. | false | {"nemo_evaluator":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/llama-3_1-nemoguard-8b-topic-control"} | NeMo Guardrails | spreadsheet | Llama 3.1 NemoGuard 8B TopicControl | nemo_evaluator |
| NIM | 1780650582 | Industry leading LLM jailbreak detection model from NVIDIA. | false | {"nemo_evaluator":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/nemoguard-jailbreak-detect"} | NeMo Guardrails | spreadsheet | NemoGuard JailbreakDetect | nemo_evaluator |
| Blog | 1736758800 | In the rapidly evolving landscape of artificial intelligence, the quality of the data used for training models is paramount. High-quality data ensures that… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/enhancing-generative-ai-model-accuracy-with-nvidia-nemo-curator/"} | NeMo Curator | techblog | Enhancing Generative AI Model Accuracy with NVIDIA NeMo Curator | nemo_curator |
| Container | 1779999673 | NVIDIA NeMo™ framework Megatron backend supports pre-training, post-training, and reinforcement learning of LLMs and multi-modal generative AI models with state-of-the-art data processing, model training techniques, and flexible deployment options. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/nemo"} |  | ngc | NeMo Framework Megatron Backend | conversational_ai, cosmos, rag |
| Documentation | 1780650582 | Rapidly ingest massive volumes of data and extract text, graphs, charts, and tables at the same time for highly accurate retrieval | false | {"nemo_curator":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/nv-ingest/blob/main/README.md"} | NeMo Retriever, NIM | spreadsheet | Ingestion Documentation | nemo_curator |
| Documentation | 1780650582 | Boost text question-and-answer retrieval performance, providing high-quality embeddings for many downstream natural language processing (NLP) tasks. | false | {"nemo_curator":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nim/nemo-retriever/text-embedding/latest/overview.html"} | NeMo Retriever, NIM | spreadsheet | Embedding Documentation | nemo_curator |
| Example | 1780650582 | This notebook introduces how to use LangChain to interact with NVIDIA hosted NIM microservices like chat, embedding, and reranking models to build a simple retrieval-augmented generation (RAG) application. | false | {"nemo_curator":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/langchain_basic_RAG.ipynb"} | NeMo Retriever, NIM | spreadsheet | RAG Example Using NVIDIA API Catalog and LangChain
  | nemo_curator |
| Documentation | 1780650582 | Enhance retrieval performance further with a fine-tuned reranking model, finding the most relevant passages to provide as context when querying a large language model (LLM). | false | {"nemo_curator":false} | Beginner | {"text" => "Learn more", "url" => "https://docs.nvidia.com/nim/nemo-retriever/text-reranking/latest/overview.html"} | NeMo Retriever, NIM | spreadsheet | Reranking Documentation | nemo_curator |
| Samples | 1780650582 | Connect AI applications to enterprise data using industry-leading embedding and reranking models for information retrieval at scale. | false | {"nemo_curator":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/build-an-enterprise-rag-pipeline"} | NeMo Retriever, NIM | spreadsheet | RAG Blueprint | nemo_curator |
| Samples | 1780650582 | Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A. | false | {"nemo_curator":false} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/video-search-and-summarization"} | NeMo Retriever, NIM | spreadsheet | Visual Agent for Video Search and Summarization AI Blueprint | nemo_curator |
| Blog | 1656062820 | The CUDA library, nvCOMP, now offers support for zStandard and Deflate standards, as well as modified-CRC32 checksum support and improved ANS performance. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/nvcomp/blob/main/CHANGELOG.md#new_tab"} | CUDA, nvComp | techblog | Just Released: nvCOMP v2.3 | nvcomp |
| Glossary Page | 1780650582 | Learn about generative AI and how it works. | false | {"cosmos":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/glossary/generative-ai/"} | NeMo, NIM | spreadsheet | What is Generative AI? | rag, cosmos |
| Glossary Page | 1780650582 | Learn about synthetic data generation, how it works, and why it's important for AI. | false | {"cosmos":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/glossary/synthetic-data-generation/"} | Omniverse, Omniverse Replicator | spreadsheet | What is Synthetic Data Generation?  | rag, cosmos |
| Glossary Page | 1780650582 | Learn about Vision Language Models (VLM), why they are important, and how they work. | false | {"cosmos":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/glossary/vision-language-models/"} | NIM, Blueprint | spreadsheet | What are Vision Language Models?  | rag, cosmos |
| Documentation | 1780650582 | Documentation for NVIDIA AI Enterprise, an end-to-end cloud native software platform. | false | {"cosmos":false,"rag":false} | Intermediate | {"text" => "Learn more", "url" => "https://docs.nvidia.com/ai-enterprise/index.html"} | NIM | spreadsheet | NVIDIA AI Enterprise Documentation | rag, cosmos |
| Training | 1780650582 | Learn techniques that can take your RAG system from an interesting proof-of-concept to a serious asset. | false | {"cosmos":false,"rag":false} | Intermediate | {"text" => "Learn more", "url" => "https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-20+V1"} | NIM | spreadsheet | Techniques for Improving the Effectiveness of RAG Systems | rag, cosmos |
| Training | 1780650582 | Interactive self-paced learning via the NVIDIA Online Academy | false | {"cosmos":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://academy.nvidia.com/en/course/ai-for-all-from-basics-to-genai-practice/?cm=81220"} | NIM | spreadsheet | AI for All: From Basics to GenAI Practice | rag, cosmos |
| Training | 1780650582 | In this no-coding course, learn Generative AI concepts and applications, as well as the challenges and opportunities in this exciting field. | false | {"cosmos":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-07+V1"} | NIM | spreadsheet | Generative AI Explained | rag, cosmos |
| Learning Path | 1780650582 | Discover the generative AI learning path for developers. | false | {"cosmos":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://nvdam.widen.net/s/brxsxxtskb/dli-learning-journey-2009000-r5-web"} | NIM | spreadsheet | Generative AI and Large Language Models Training | rag, cosmos |
| Training | 1780650582 | Learn how NIM enables the building, deploying, and scaling of AI applications. | true | {"cosmos":true,"rag":true} | Intermediate | {"text" => "Learn more", "url" => "https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-23+V1"} | NIM | spreadsheet | Introduction to NVIDIA NIM™ Microservices | rag, cosmos |
| Video | 1780650582 | Develop a retrieval-augmented generation (RAG) application using NVIDIA RTX Virtual Workstation and conduct inference locally on your virtual machines within minutes. | false | {"cosmos":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=bagJeryUHOk"} | RTX GPU | spreadsheet | Build a RAG Application With NVIDIA RTX Virtual Workstation | rag, cosmos |
| Video | 1780650582 | This video demonstrates how large language models (LLMs) can power various applications and focuses on image search, code assistants, and vision language action (VLA) models. | false | {"cosmos":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=Z-OlJ2oqJno"} | Metropolis | spreadsheet | Deploy Generative AI Coding Agents, Image Search, and More | rag, cosmos |
| Video | 1780650582 | NVIDIA Cosmos tokenizer provides open models for efficient image and video compression and high-quality reconstruction, achieving speeds up to 12x faster than other tokenizers. | false | {"cosmos":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=Soy_myOfWIU"} | Cosmos | spreadsheet | Efficient Generative AI Tokenizers for Image and Video | rag, cosmos |
| Video | 1780650582 | Visualize the impact of high-performance generative AI inferencing with NVIDIA NIM microservices. | false | {"cosmos":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=WUBl6SMRy0g&t=32s"} | NIM | spreadsheet | Generative AI Inference Performance and TCO Advantage | rag, cosmos |
| Video | 1780650582 | This video features ReMEmbR which enable robots to reason and take actions over what they see during a long-horizon deployment to answer user queries and produce navigation goals. | false | {"cosmos":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=JlYVBAQC0tQ"} | Isaac | spreadsheet | How Robots Use Generative AI to Reason and Act with ReMEmbR | rag, cosmos |
| Video | 1780650582 | This video explains how to develop a local AI copilot using LangChain, NVIDIA NIM, and FAISS. | false | {"cosmos":false,"rag":false} | Intermediate | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=KmEX-1mS8Ps"} | NIM | spreadsheet | Local AI Copilots with LangChain, NVIDIA NIM, and FAISS  | rag, cosmos |
| Video | 1780650582 | Unlock the potential of generative AI with NVIDIA NIM. This video dives into how NVIDIA NIM microservices can transform your AI deployment into a production-ready powerhouse. | false | {"cosmos":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=bpOvayHifNQ&t=5s"} | NIM | spreadsheet | Deploying Generative AI in Production with NVIDIA NIM | rag, cosmos |
| Video | 1780650582 | This demo showcases how to design and create an enterprise-grade retrieval-augmented generation (RAG) pipeline using NVIDIA AI Foundation models. | false | {"cosmos":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=N_OOfkEWcOk"} | AI Foundation Models | spreadsheet | Build a Retrieval-Augmented Generation Chatbot in 5 Minutes | rag, cosmos |
| Blog | 1780650582 | Join the NVIDIA Registered Developer Program and learn how to access NIM microservices for free. | true | {"cosmos":true,"rag":true} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/access-to-nvidia-nim-now-available-free-to-developer-program-members/"} | NIM | spreadsheet | Free NVIDIA NIM Access For Developer Program Members | rag, cosmos |
| Video | 1780650582 | Discover how to leverage the synthetic data generation pipeline from NVIDIA NeMo Curator, which enables enterprises to effortlessly produce vast amounts of high-quality data. | false | {"cosmos":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=lqbYP6Cysgw"} | NeMo Curator | spreadsheet | Unlocking Synthetic Data Generation with Llama 3.1 | rag, cosmos |
| Blog | 1738159822 | JSON is a popular format for text-based data that allows for interoperability between systems in web applications as well as data management. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-json-processing-on-apache-spark-with-gpus/"} | cuDF, RAPIDS | techblog | Accelerating JSON Processing on Apache Spark with GPUs | data_science |
| Video | 1780650582 | Learn how to get started with Cosmos WFMs in the NVIDIA NeMo framework with a model setup, inference, raw video data curation and post-training overview. | false | {"nemo_customizer":false,"xr":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=dqP-I59wUwU"} | Cosmos, NeMo Curator | spreadsheet | Build Custom World Foundation Models | xr, nemo_customizer |
| Blog | 1738247172 | Connect AI applications to enterprise data using embedding and reranking models for information retrieval. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://nvda.ws/3CwRR2w#new_tab"} | NeMo Retriever, NIM | techblog | New NVIDIA AI Blueprint: Build a Customizable RAG Pipeline | nemo_retriever, rag |
| Blog | 1738216800 | NVIDIA DLSS 4 is the latest iteration of DLSS introduced with the NVIDIA GeForce RTX 50 Series GPUs. It includes several new features: Here’s how you can get… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-integrate-nvidia-dlss-4-into-your-game-with-nvidia-streamline/"} | DLSS, Streamline | techblog | How to Integrate NVIDIA DLSS 4 into Your Game with NVIDIA Streamline | dlss_practitioner |
| Blog | 1738242660 | The next generation of NVIDIA graphics hardware has arrived. Powered by NVIDIA Blackwell, GeForce RTX 50 Series GPUs deliver groundbreaking new RTX features… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-apps-with-neural-rendering-using-nvidia-nsight-developer-tools-on-geforce-rtx-50-series-gpus/"} | Blackwell, Nsight Tools - Graphics, RTX Kit | techblog | Build Apps with Neural Rendering Using NVIDIA Nsight Developer Tools on GeForce RTX 50 Series GPUs | rtx_kit_practitioner |
| Blog | 1738216800 | NVIDIA recently announced a new generation of PC GPUs—the GeForce RTX 50 Series—alongside new AI-powered SDKs and tools for developers. Powered by the NVIDIA… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/new-ai-sdks-and-tools-released-for-nvidia-blackwell-geforce-rtx-50-series-gpus/"} | ACE, Blackwell, CUDA, Maxine, Nsight Tools - Graphics, RTX GPU, TensorRT, Video Codec SDK | techblog | New AI SDKs and Tools Released for NVIDIA Blackwell GeForce RTX 50 Series GPUs | maxine |
| Blog | 1738767786 | Explore the latest advancements in academia, including advanced research, innovative teaching methods, and the future of learning and technology. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://nvda.ws/40ZpALn#new_tab"} | MONAI, RAPIDS | techblog | Featured Researcher and Educator Sessions at NVIDIA GTC 2025 | data_science |
| Session | 1780650582 | Learn how the integration of the cuVS library significantly enhances Milvus's performance for building indexes and performing search queries. | true | {"nemo_retriever":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc24-s62599/"} | cuVS | spreadsheet | GPU-Accelerated Vector Search and RAG Workflows | nemo_retriever |
| Session | 1780650582 | Learn how to leverage GPU-efficient ANN solutions that use traditional and graph-based ANN index structures to achieve high throughput and accurate vector search. | false | {"nemo_retriever":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc24-s62381/"} | cuVS | spreadsheet | Leveraging GPU-Efficient Vector Search for Ads Pipelines | nemo_retriever |
| Blog | 1738837760 | Geometric detail in computer graphics has increased exponentially in the past 30 years. To render high quality assets with higher instance counts and greater… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-rtx-mega-geometry-now-available-with-new-vulkan-samples/"} | RTX Kit | techblog | NVIDIA RTX Mega Geometry Now Available with New Vulkan Samples | rtx_kit_practitioner |
| Blog | 1738845000 | Hardware support for ray tracing triangle meshes was introduced as part of NVIDIA RTX in 2018. But ray tracing for hair and fur has remained a compute-intensive… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/render-path-traced-hair-in-real-time-with-nvidia-geforce-rtx-50-series-gpus/"} | OptiX, RTX Kit | techblog | Render Path-Traced Hair in Real Time with NVIDIA GeForce RTX 50 Series GPUs | rtx_kit_practitioner |
| Blog | 1696245418 | Performing an exhaustive exact k-nearest neighbor (kNN) search, also known as brute-force search, is expensive, and it doesn’t scale particularly well to larger… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerated-vector-search-approximating-with-nvidia-cuvs-ivf-flat/"} | cuVS, RAPIDS | techblog | Accelerated Vector Search: Approximating with NVIDIA cuVS Inverted Index | cuvs |
| Blog | 1694422800 | In this post, we dive deeper into each of the GPU-accelerated indexes mentioned in part 1 and give a brief explanation of how the algorithms work… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-vector-search-fine-tuning-gpu-index-algorithms/"} | cuVS, RAPIDS | techblog | Accelerating Vector Search: Fine-Tuning GPU Index Algorithms | cuvs |
| Blog | 1694422740 | In the current AI landscape, vector search is one of the hottest topics due to its applications in large language models (LLM) and generative AI. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-vector-search-using-gpu-powered-indexes-with-rapids-raft/"} | cuVS, RAPIDS | techblog | Accelerating Vector Search: Using GPU-Powered Indexes with NVIDIA cuVS | cuvs |
| GitHub | 1780650582 | This template project provides a drop-in sample to either start building a new application with, or using cuVS in an existing CMake project. | true | {"nemo_retriever":true} | Beginner | {"text" => "Learn more", "url" => "https://github.com/rapidsai/cuvs/tree/branch-24.10/examples"} | cuVS | spreadsheet | cuVS C and C++ Examples | nemo_retriever |
| GitHub | 1780650582 | The following code snippets train an approximate nearest neighbors index for the CAGRA algorithm. | true | {"nemo_retriever":true} | Beginner | {"text" => "Learn more", "url" => "https://github.com/rapidsai/cuvs?tab=readme-ov-file#getting-started"} | cuVS | spreadsheet | cuVS Getting Started Guide | nemo_retriever |
| Blog | 1780650582 | With CAGRA Index support, Milvus 2.4 set a new standard in GPU-accelerated graph indexing, ideal for similarity search applications needing minimal latency. | false | {"nemo_retriever":false} | Beginner | {"text" => "Learn more", "url" => "https://zilliz.com/blog/Milvus-introduces-GPU-index-CAGRA"} | cuVS | spreadsheet | Elevating Vector Search with GPU Indexing | nemo_retriever |
| Blog | 1780650582 | Benchmarks show integrating NVIDIA’s CAGRA GPU acceleration framework into the Milvus vector database increased search performance by 50x. | false | {"nemo_retriever":false} | Beginner | {"text" => "Learn more", "url" => "https://thenewstack.io/how-nvidia-gpu-acceleration-supercharged-milvus-vector-database/"} | cuVS | spreadsheet | How NVIDIA Supercharged Milvus Vector Database | nemo_retriever |
| Session | 1780650582 | This talk focuses on how Lucene leveraged the cuVS library to accelerate Apache Lucene’s vector search capabilities on the GPU. | false | {"nemo_retriever":false} | Beginner | {"text" => "Learn more", "url" => "https://program.berlinbuzzwords.de/bbuzz24/talk/PTFLE7/"} | cuVS | spreadsheet | cuVS and Lucene: GPU-based Vector Search | nemo_retriever |
| Video | 1780650582 | Hear speakers present topics on unstructured data and generative AI. | false | {"nemo_retriever":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=pBaq3CcZOFc"} | cuVS | spreadsheet | New York Unstructured Data Meetup | nemo_retriever |
| Session | 1780650582 | Explore methods to substantially alleviate the constraints imposed by database size, a well-recognized limitation in the realm of graph-based approximate nearest neighbor search. | false | {"nemo_retriever":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc24-s62339/"} | cuVS | spreadsheet | Harnessing Grace Hopper to Accelerate Vector Database Search | nemo_retriever |
| Blog | 1780650582 | Explore two GPU-accelerated capabilities for Oracle Database that utilize NVIDIA GPUs to accelerate AI Vector Search functionality in Oracle Database 23ai. | false | {"nemo_retriever":false} | Beginner | {"text" => "Learn more", "url" => "https://blogs.oracle.com/database/post/using-nvidia-gpus-to-accelerate-ai-vector-search-in-oracle-database-23ai"} | cuVS | spreadsheet | Using NVIDIA GPUs to Accelerate AI Vector Search | nemo_retriever |
| Blog | 1780650582 | Explore new features, such as support for the GPU-based CAGRA index, beta support for sparse embeddings, group search, and various other improvements in search capabilities. | false | {"nemo_retriever":false} | Intermediate | {"text" => "Learn more", "url" => "https://milvus.io/blog/milvus-2-4-nvidia-cagra-gpu-index-multivector-search-sparse-vector-support.md"} | cuVS | spreadsheet | Unveiling Milvus 2.4 | nemo_retriever |
| Blog | 1738762200 | Translation plays an essential role in enabling companies to expand across borders, with requirements varying significantly in terms of tone, accuracy… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/improving-translation-quality-with-domain-specific-fine-tuning-and-nvidia-nim/"} | NeMo, NIM, TensorRT-LLM | techblog | Improving Translation Quality with Domain-Specific Fine-Tuning and NVIDIA NIM | conversational_ai |
| Blog | 1738854468 | In data science, operational efficiency is key to handling increasingly complex and large datasets. GPU acceleration has become essential for modern workflows… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/get-started-with-gpu-acceleration-for-data-science/"} | cuDF, RAPIDS | techblog | Get Started with GPU Acceleration for Data Science | data_science |
| Blog | 1738227600 | In the world of Python data science, pandas has long reigned as the go-to library for intuitive data manipulation and analysis. However, as data volumes grow… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/mastering-the-cudf-pandas-profiler-for-gpu-acceleration/"} | RAPIDS | techblog | Mastering the cudf.pandas Profiler for GPU Acceleration | data_science |
| Blog | 1738844057 | Neural rendering is the next era of computer graphics. By integrating neural networks into the rendering process, we can take dramatic leaps forward in… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/get-started-with-neural-rendering-using-nvidia-rtx-kit/"} | RTX Kit | techblog | Get Started with Neural Rendering Using NVIDIA RTX Kit | rtx_kit_practitioner |
| Blog | 1738227600 | Universal Scene Description (OpenUSD) is an open, extensible framework and ecosystem with APIs for composing, editing, querying, rendering, collaborating… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-use-openusd/"} | Omniverse | techblog | How to Use OpenUSD | usd_resources |
| Blog | 1780650582 | With this tutorial, you’ll learn how to deploy AI agents that provide fast, accurate responses while maintaining customer trust and brand integrity. | true | {"nemo_evaluator":true} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-safeguard-ai-agents-for-customer-service-with-nvidia-nemo-guardrails/"} | NeMo Guardrails, NeMo, NIM | spreadsheet | How to Safeguard AI Agents for Customer Service | nemo_evaluator |
| Session | 1780650582 | Learn techniques like prompt-engineering, prompt-tuning, parameter-efficient fine-tuning, and supervised instruction fine-tuning (SFT), enabling LLMs to adapt to diverse use cases. | false | {"nemo_guardrails":false} | Intermediate | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc24-s62743/"} | NeMo Customizer | spreadsheet | Customizing Foundation LLMs in Diverse Languages | nemo_guardrails |
| Container | 1775100494 | NVIDIA TensorRT is a C++ library that facilitates high-performance inference on NVIDIA graphics processing units (GPUs). TensorRT takes a trained network and produces a highly optimized runtime engine that performs inference for that network. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tensorrt-ltsb2-igx"} |  | ngc | TensorRT LTSB2 IGX | inference |
| Blog | 1740048888 | NVIDIA has consistently developed automatic speech recognition (ASR) models that set the benchmark in the industry. Earlier versions of NVIDIA Riva… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/deploying-nvidia-riva-multilingual-asr-with-whisper-and-canary-architectures-while-selectively-deactivating-nmt/"} | NIM, Riva | techblog | Deploying NVIDIA Riva Multilingual ASR with Whisper and Canary Architectures While Selectively Deactivating NMT | riva, conversational_ai |
| Blog | 1740042000 | JSON is a widely adopted format for text-based information working interoperably between systems, most commonly in web applications and large language models… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/json-lines-reading-with-pandas-100x-faster-using-nvidia-cudf/"} | cuDF, RAPIDS | techblog | JSON Lines Reading with pandas 100x Faster Using NVIDIA cuDF | data_science |
| Blog | 1739437200 | As the amount of data available to everyone in the world increases, the ability for a consumer to make informed decisions becomes increasingly difficult. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/using-networkx-jaccard-similarity-and-cugraph-to-predict-your-next-favorite-movie/"} | cuGraph, RAPIDS | techblog | Using NetworkX, Jaccard Similarity, and cuGraph to Predict Your Next Favorite Movie | data_science |
| Blog | 1780650582 | Get an introduction to NeMo Customizer, including an overview of customization techniques, such a LoRa and P-tuning. | false | {"nemo_guardrails":false} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/fine-tune-and-align-llms-easily-with-nvidia-nemo-customizer/"} | NeMo Customizer, NeMo, NeMo Curator, NeMo Evaluator, NeMo Microservices, NIM, SteerLM | spreadsheet | Fine-Tune and Align LLMs Easily | nemo_guardrails |
| Blog | 1780650582 | Explore robust evaluation techniques and best practices for assessing the accuracy and reliability of LLMs and RAG systems. | false | {"generative_ai":false} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/mastering-llm-techniques-evaluation/"} | NeMo Evaluator, NeMo | spreadsheet | Mastering LLM Techniques: Evaluation | generative_ai |
| Blog | 1720610181 | Large language models (LLMs) adopted for specific enterprise applications most often benefit from model customization. Enterprises need to tailor ‌LLMs for… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/customizing-nvidia-nims-for-domain-specific-needs-with-nvidia-nemo/"} | NGC, NeMo, NeMo Customizer, NIM | techblog | Customizing NVIDIA NIM for Domain-Specific Needs with NVIDIA NeMo | nemo_customizer |
| Blog | 1711537200 | Large language models (LLMs) have demonstrated remarkable capabilities, from tackling complex coding tasks to crafting compelling stories to translating natural… | false | {} | Beginner, Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/streamline-evaluation-of-llms-for-accuracy-with-nvidia-nemo-evaluator/"} | NeMo, NeMo Customizer, NeMo Evaluator, NeMo Microservices, NIM | techblog | Streamline Evaluation of LLMs for Accuracy with NVIDIA NeMo Evaluator | nemo_customizer, nemo_evaluator |
| Blog | 1740480566 | There is an activity where people provide inputs to generative AI technologies, such as large language models (LLMs), to see if the outputs can be made to… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/defining-llm-red-teaming/"} | AI Enterprise, NeMo Guardrails | techblog | Defining LLM Red Teaming | nemo_guardrails |
| Blog | 1740504926 | Explore the future of extended reality, and learn how spatial computing is changing the future of immersive development and industry workflows. | false | {} | Beginner, Intermediate | {"text" => "Learn more", "url" => "https://nvda.ws/3QCUqDz#new_tab"} | CloudXR, Omniverse | techblog | Featured Spatial Computing and XR Sessions at NVIDIA GTC 2025 | usd_resources, xr |
| Container | 1773566644 | NVIDIA NeMo Evaluator-compatible container with LM-Evaluation-Harness support. Based on lm-evaluation-harness available at: https://github.com/EleutherAI/lm-evaluation-harness | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/lm-evaluation-harness"} |  | ngc | NVIDIA LM-Evaluation-Harness | conversational_ai, cosmos, generative_ai, rag |
| Blog | 1740650152 | Workloads processing large amounts of data, especially those running on the cloud, will often use an object storage service (S3, Google Cloud Storage… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/high-performance-remote-io-with-nvidia-kvikio/"} | RAPIDS | techblog | High-Performance Remote IO With NVIDIA KvikIO | data_science |
| Blog | 1740737029 | Learn how to adopt and evolve OpenUSD for the world’s physical and industrial AI data pipelines and workflows. | false | {} | Beginner, Intermediate | {"text" => "Learn more", "url" => "https://nvda.ws/41CBrPG#new_tab"} | Omniverse | techblog | Featured OpenUSD Sessions at NVIDIA GTC 2025 | ray_tracing, usd_resources |
| Blog | 1740993729 | Safeguarding AI agents and other conversational AI applications to ensure safe, on-brand and reliable behavior is essential for enterprises. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/measuring-the-effectiveness-and-performance-of-ai-guardrails-in-generative-ai-applications/"} | NeMo, NeMo Guardrails | techblog | Measuring the Effectiveness and Performance of AI Guardrails in Generative AI Applications | conversational_ai, nemo_guardrails |
| Blog | 1741095841 | Quantitative developers need to run back-testing simulations to see how financial algorithms perform from a profit and loss (P&L) standpoint. | false | {} | Intermediate, Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/gpu-accelerate-algorithmic-trading-simulations-by-over-100x-with-numba/"} | CUDA, H200, RAPIDS | techblog | GPU-Accelerate Algorithmic Trading Simulations by over 100x with Numba | data_science |
| Blog | 1741170509 | Recently announced at MWC Barcelona, developers can now stream augmented reality (AR) experiences built with NVIDIA Omniverse to the Apple iPad. Omniverse… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/stream-ar-experiences-to-the-apple-ipad-with-nvidia-omniverse/"} | Omniverse | techblog | Stream AR Experiences to the Apple iPad with NVIDIA Omniverse | ray_tracing, usd_resources |
| Blog | 1740560400 | A well-crafted systematic review is often the initial step for researchers exploring a scientific field. For scientists new to this field… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-scientific-literature-reviews-with-nvidia-nim-microservices-for-llms/"} | Blueprint, NIM | techblog | Accelerating Scientific Literature Reviews with NVIDIA NIM Microservices for LLMs | conversational_ai |
| Blog | 1741257218 | Applications requiring high-performance information retrieval span a wide range of domains, including search engines, knowledge management systems, AI agents… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-using-a-reranking-microservice-can-improve-accuracy-and-costs-of-information-retrieval/"} | Blueprint, NeMo, NeMo Retriever, NIM | techblog | How Using a Reranking Microservice Can Improve Accuracy and Costs of Information Retrieval | nemo_retriever, rag |
| Blog | 1741261756 | The NVIDIA RAPIDS Accelerator for Apache Spark software plug-in pioneered a zero code change user experience (UX) for GPU-accelerated data processing. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerate-apache-spark-ml-on-nvidia-gpus-with-zero-code-change/"} | RAPIDS | techblog | Accelerate Apache Spark ML on NVIDIA GPUs with Zero Code Change | data_science |
| Container | 1762457200 | This blueprint container is a reference solution for the Retrieval Augmented Generation (RAG) pipeline. Use this sample user interface container for a quick start with the blueprint. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/blueprint/containers/rag-playground"} |  | ngc | RAG Playground - NVIDIA AI Blueprint for RAG | dlss_practitioner |
| Container | 1780341997 | This is the RAG server container used as part of the NVIDIA AI Blueprint for RAG and used to orchestrate the end to end RAG pipeline. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/blueprint/containers/rag-server"} |  | ngc | rag-server | dlss_practitioner |
| Container | 1780341996 | This is the Ingestor server container used as part of the NVIDIA RAG Blueprint and used to orchestrate the end to end Ingestion. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/blueprint/containers/ingestor-server"} |  | ngc | ingestor-server | dlss_practitioner |
| Collection | 1780342058 | The NVIDIA AI Blueprint for RAG gives developers a foundational starting point for building scalable, customizable retrieval pipelines that deliver both high accuracy and throughput with multi-modal data. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/blueprint/collections/build-an-enterprise-rag-pipeline-blueprint"} |  | ngc | Blueprint - Build an enterprise rag pipeline | rag, dlss_practitioner |
| Blog | 1742294545 | Scikit-learn, the most widely used ML library, is popular for processing tabular data because of its simple API, diversity of algorithms… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-cuml-brings-zero-code-change-acceleration-to-scikit-learn/"} | cuML | techblog | NVIDIA cuML Brings Zero Code Change Acceleration to scikit-learn | data_science |
| Blog | 1780650582 | Discover the latest benchmarks and explore how you can future proof your AI strategy with scalable, multimodal, and high-performance retrieval. | true | {"dlss_practitioner":true,"nemo_curator":true} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-nemo-retriever-delivers-accurate-multimodal-pdf-data-extraction-15x-faster/"} | NeMo Retriever, NIM, Blueprint, NeMo | spreadsheet | NeMo Retriever Delivers Accurate Multimodal Data Extraction | nemo_curator, dlss_practitioner |
| Blog | 1742230800 | AI is transforming how we experience our favorite games. It is unlocking new levels of visuals, performance, and gameplay possibilities with neural rendering… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-rtx-advances-with-neural-rendering-and-digital-human-technologies-at-gdc-2025/"} | RTX Kit | techblog | NVIDIA RTX Advances with Neural Rendering and Digital Human Technologies at GDC 2025 | rtx_kit_practitioner, ray_tracing |
| Blog | 1734525000 | NVIDIA 6G Developer Day 2024 brought together members of the 6G research and development community to share insights and learn new ways of engaging with NVIDIA… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/five-takeaways-from-nvidia-6g-developer-day-2024/"} | Aerial, DGX, Omniverse, Sionna | techblog | Five Takeaways from NVIDIA 6G Developer Day 2024 | usd_resources |
| Blog | 1780650377 | Read how NVIDIA developed the Llama Nemotron with reasoning model family, built on top of Llama open models and post-trained with the reasoning expertise of DeepSeek-R1. | false | {"cosmos":true,"nim":false,"rag":true} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-enterprise-ai-agents-with-advanced-open-nvidia-llama-nemotron-reasoning-models/"} | NIM | spreadsheet | Build AI Agents With NVIDIA Llama Nemotron Reasoning Models | nim, rag, cosmos |
| Blog | 1780650582 | AI agents need to continuously evolve. With NeMo microservices developers can create and maintain a robust data flywheel for AI agents. | false | {"cosmos":true,"generative_ai":false,"nemo_curator":false,"nemo_customizer":false,"nemo_evaluator":false,"nemo_guardrails":false,"rag":true} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/maximize-ai-agent-performance-with-data-flywheels-using-nvidia-nemo-microservices/"} | NeMo, NeMo Retriever, NeMo Curator, NeMo Evaluator | spreadsheet | Maximize AI Agent Performance with Data Flywheels | nemo_curator, rag, nemo_guardrails, cosmos, generative_ai, nemo_customizer, nemo_evaluator |
| Research | 1780650582 | This paper introduces Cosmos Reason1 models that can understand the physical world and generate appropriate embodied decisions in natural language. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => " https://research.nvidia.com/publication/2025-03_cosmos-reason-1-physical-ai-common-sense-embodied-decisions"} | Cosmos | spreadsheet | Cosmos Reason1 Research Paper | xr |
| Research | 1780650582 | This paper introduces Cosmos Transfer, a World-to-World Transfer model deisgned to bridge the perceptual divide between simulated and real-world environments. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://research.nvidia.com/publication/2025-03_cosmos-transfer-1-world-world-transfer-adaptive-multi-control-physical-ai"} | Cosmos | spreadsheet | Cosmos Transfer1 Research Paper | xr |
| Blog | 1742374860 | In the United Arab Emirates (UAE), extreme weather events disrupt daily life, delaying flights, endangering transportation, and complicating urban planning. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-earth-2-powers-regional-ai-weather-forecasting-in-the-united-arab-emirates/"} | FourCastNet, Omniverse, PhysicsNeMo | techblog | NVIDIA Earth-2 Powers Regional AI Weather Forecasting in the United Arab Emirates | ray_tracing, usd_resources |
| Blog | 1742374800 | The wireless industry stands at the brink of a transformation, driven by the fusion of AI with advanced 5G and upcoming 6G technologies that promise… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-aerial-omniverse-digital-twin-boosts-development-of-ai-native-wireless-and-deployment-flexibility/"} | Omniverse | techblog | NVIDIA Aerial Omniverse Digital Twin Boosts Development of AI-Native Wireless and Deployment Flexibility | ray_tracing, usd_resources |
| Blog | 1780650582 | NVIDIA NeMo Curator on DGX Cloud optimizes large-scale video processing, boosting throughput and reducing costs for for training and fine-tuning WFMs. | false | {"xr":false} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/petabyte-scale-video-processing-with-nvidia-nemo-curator-on-nvidia-dgx-cloud/"} | Cosmos, NeMo, DGX Cloud, NeMo Curator | spreadsheet | Accelerating Petabyte-Scale Video Processing | xr |
| Blog | 1742893200 | Electric vehicles (EVs) are transforming transportation, but challenges such as cost, longevity, and range remain barriers to widespread adoption. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-the-future-of-transportation-with-ses-ais-nvidia-powered-innovation-for-electric-vehicles/"} | DGX Cloud, NeMo, NeMo Curator, NIM | techblog | Accelerating the Future of Transportation with SES AI's NVIDIA-Powered Innovation for Electric Vehicles | nemo_curator |
| Blog | 1742899626 | Large ensembles are essential for predicting rare, high-impact events that cannot be fully understood through historical data alone. By simulating thousands of… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/spotlight-axa-explores-ai-driven-hurricane-risk-assessment-with-nvidia-earth-2/"} | Omniverse, PhysicsNeMo | techblog | Spotlight: AXA Explores AI-Driven Hurricane Risk Assessment | ray_tracing, usd_resources |
| Blog | 1742300446 | The world of robotics is undergoing a significant transformation, driven by rapid advancements in physical AI. This evolution is accelerating the time to market… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/using-openusd-for-modular-and-scalable-robotic-simulation-and-development/"} | Isaac Sim, Omniverse | techblog | Using OpenUSD for Modular and Scalable Robotic Simulation and Development | ray_tracing, usd_resources |
| Blog | 1742991939 | Kit SDK 107.0 is a major update release with primary updates for robotics development. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://nvda.ws/420fZmD#new_tab"} | Omniverse | techblog | Just Released: Omniverse Kit 107.0 | ray_tracing, usd_resources |
| Container | 1773567020 | NVIDIA NeMo Evaluator-compatible container with ToolTalk support. Based on the ToolTalk available at: https://github.com/microsoft/ToolTalk | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/tooltalk"} |  | ngc | NVIDIA ToolTalk | cosmos, generative_ai, rag |
| Blog | 1743062400 | Welcome to the first edition of the NVIDIA Robotics Research and Development Digest (R2D2). This technical blog series will give developers and researchers… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/r2d2-advancing-robot-mobility-whole-body-control-with-ai-from-nvidia-research/"} | Cosmos, Isaac Sim, Omniverse | techblog | R²D²: Advancing Robot Mobility and Whole-Body Control with Novel Workflows and AI Foundation Models from NVIDIA Research | ray_tracing, usd_resources, cosmos |
| Blog | 1743671883 | As data sizes have grown in enterprises across industries, Apache Parquet has become a prominent format for storing data. Apache Parquet is a columnar storage… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-apache-parquet-scans-on-apache-spark-with-gpus/"} | RAPIDS | techblog | Accelerating Apache Parquet Scans on Apache Spark with GPUs | data_science |
| Blog | 1743411600 | Industrial enterprises are embracing physical AI and autonomous systems to transform their operations. This involves deploying heterogeneous robot fleets that… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/simulating-robots-in-industrial-facility-digital-twins/"} | Blueprint, Metropolis, Omniverse | techblog | Simulating Robots in Industrial Facility Digital Twins | ray_tracing, usd_resources |
| Sample App | 1780650377 | Learn about the latest models, tools, and features in NVIDIA NeMo and Riva. | true | {"inference":true} |  | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc25-s73113/"} | CUDA, Jetson, Omniverse, TAO Toolkit, Triton Inference Server, NVIDIA GH200 Grace Hopper Superchip, Dynamo | spreadsheet | Speech AI Demystified | inference |
| Session | 1780650582 | Get an in-depth tutorial demonstrating how to build agentic AI pipelines that integrate diverse data types—including text, images, audio, and video—into enterprise AI applications. | true | {"nemo_curator":true} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc25-s72208/"} | NeMo, NeMo Retriever | spreadsheet | How to Build Multimodal Agentic AI Retrieval Systems | nemo_curator |
| Session | 1780650582 | Learn how the cuVS accelerates Apache Lucene’s vector search capabilities on GPUs, enabling faster queries and scalable indexing for massive workloads without compromising quality. | true | {"nemo_retriever":true} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc25-s71286/"} | cuVS | spreadsheet | Bring Massive-Scale Vector Search to the GPU | nemo_retriever |
| Session | 1780650582 | Explore the unique challenges of these scenarios and how we leverage NVIDIA GPUs and the cuVS library to accelerate these workloads. | true | {"nemo_retriever":true} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc25-s72905/"} | cuVS | spreadsheet | GPU DiskANN and Beyond: Accelerating Microsoft Vector Search | nemo_retriever |
| Documentation | 1780650582 | Learn how to post-train Cosmos Diffusion-based World Foundation Models (WFMs) using the NVIDIA NeMo Framework for your custom Physical AI tasks by following this guide. | false | {"xr":false} | Beginner | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/Cosmos/tree/main/cosmos1/models/diffusion/nemo/post_training"} | Cosmos | spreadsheet | Policy Evaluation and Action Generation User Guide | xr |
| Blog | 1744025946 | As large language models (LLM) gain popularity in various question-answering systems, retrieval-augmented generation (RAG) pipelines have also become a focal… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/evaluating-and-enhancing-rag-pipeline-performance-using-synthetic-data/"} | NeMo Curator, NeMo Retriever | techblog | Evaluating and Enhancing RAG Pipeline Performance Using Synthetic Data  | nemo_curator, nemo_retriever, rag |
| Blog | 1744277400 | When working with large datasets, the performance of your data processing tools becomes critical. Polars, an open-source library for data manipulation known for… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/efficiently-scaling-polars-gpu-parquet-reader/"} | cuDF, RAPIDS | techblog | Efficiently Scaling Polars GPU Parquet Reader | data_science |
| Blog | 1744110295 | Humans know more about deep space than we know about Earth’s deepest oceans. But scientists have plans to change that—with the help of AI. “We have better maps… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/using-ai-to-better-understand-the-ocean/"} | DGX Cloud, Jetson, Omniverse | techblog | Using AI to Better Understand the Ocean | ray_tracing, usd_resources |
| Container | 1765925849 | Model customization for NeMo microservices | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/customizer"} |  | ngc | NeMo Customizer | conversational_ai, cosmos, rag, nemo_guardrails |
| Container | 1765925723 | CLI tool for NeMo Datastore V2 with Hugging Face integration | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/nds-v2-huggingface-cli"} |  | ngc | NeMo Datastore V2 Hugging Face CLI | conversational_ai, cosmos, rag |
| Container | 1765925768 | Data storage for NeMo microservices | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/datastore"} |  | ngc | NeMo Data Store | conversational_ai, cosmos, rag |
| Container | 1765925707 | Safety checks and moderation for LLM applications | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/guardrails"} |  | ngc | NeMo Guardrails | conversational_ai, cosmos, nemo_evaluator, rag |
| Container | 1765925730 | Model evaluation service for NeMo microservices | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/evaluator"} |  | ngc | NeMo Evaluator | conversational_ai, cosmos, generative_ai, rag |
| Container | 1765925747 | Kubernetes operator for NeMo microservices | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/nemo-operator"} |  | ngc | NeMo Operator | conversational_ai, cosmos, rag |
| Container | 1765925703 | Proxy service for NIM microservices | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/nim-proxy"} |  | ngc | NeMo NIM Proxy | cosmos, rag |
| Container | 1765925738 | Entity management for NeMo microservices | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/entity-store"} |  | ngc | NeMo Entity Store | conversational_ai, cosmos, rag |
| Container | 1765925734 | API service for NeMo Customizer | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/customizer-api"} |  | ngc | NeMo Customizer API | conversational_ai, cosmos, rag, nemo_guardrails |
| Container | 1765925721 | Deployment management microservice for NeMo models | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/deployment-management"} |  | ngc | NeMo Deployment Management | conversational_ai, cosmos, rag |
| Container | 1762438578 | Evaluation benchmark for retrieval systems | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/eval-tool-benchmark-retriever"} |  | ngc | Retriever Benchmark Tool | cosmos, morpheus, nemo_curator, rag |
| Blog | 1744796450 | The accuracy of citations is crucial for maintaining the integrity of both academic and AI-generated content. When citations are inaccurate or wrong… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/developing-an-ai-powered-tool-for-automatic-citation-validation-using-nvidia-nim/"} | A100, NeMo Retriever, NIM | techblog | Developing an AI-Powered Tool for Automatic Citation Validation Using NVIDIA NIM | nemo_retriever, rag |
| Blog | 1744284600 | Scientific papers are highly heterogeneous, often employing diverse terminologies for the same entities, using varied methodologies to study biological… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/curating-biological-findings-from-scientific-literature-with-nvidia-nim/"} | NIM | techblog | Curating Biological Findings from Scientific Literature with NVIDIA NIM | conversational_ai |
| Blog | 1744203600 | As more enterprises integrate LLMs into their applications, they face a critical challenge: LLMs can generate plausible but incorrect responses… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/prevent-llm-hallucinations-with-the-cleanlab-trustworthy-language-model-in-nvidia-nemo-guardrails/"} | NeMo, NeMo Guardrails, NIM | techblog | Prevent LLM Hallucinations with the Cleanlab Trustworthy Language Model in NVIDIA NeMo Guardrails | conversational_ai, nemo_guardrails |
| Blog | 1744905800 | Feature engineering remains one of the most effective ways to improve model accuracy when working with tabular data. Unlike domains such as NLP and computer… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/grandmaster-pro-tip-winning-first-place-in-kaggle-competition-with-feature-engineering-using-nvidia-cudf-pandas/"} | cuDF | techblog | Grandmaster Pro Tip: Winning First Place in Kaggle Competition with Feature Engineering Using cuDF pandas | data_science |
| Blog | 1745244321 | AI has become nearly synonymous with innovation. As it rushes onto the world stage, AI is seeding inspiration in creators and problem-solvers of all stripes… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/ai-inspires-artists-and-industrialists-to-reimagine-their-crafts/"} | Omniverse | techblog | AI Inspires Artists and Industrialists to Reimagine their Crafts | ray_tracing, usd_resources |
| Blog | 1745317588 | Missed GTC? This year’s training labs are now available on demand to watch anywhere, anytime. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://nvda.ws/3RTGKVc#new_tab"} | Blueprint, Jetson, NeMo | techblog | NVIDIA GTC Training Labs Now Available On Demand | conversational_ai |
| Container | 1780650582 | This collection contains the NeMo microservices to build an end-to-end platform for fine-tuning, evaluating, and serving LLMs on your Kubernetes cluster. | true | {"cosmos":true,"generative_ai":true,"nemo_evaluator":true,"nemo_guardrails":true,"rag":true} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/collections/nemo-microservices"} | NeMo, NeMo Evaluator, NeMo Guardrails, NeMo Customizer | spreadsheet | NVIDIA NeMo Microservices | rag, nemo_guardrails, cosmos, generative_ai, nemo_evaluator |
| Video | 1780650582 | Learn how to customize AI agents for precise function calling with this end-to-end example with NVIDIA NeMo microservices. | false | {"cosmos":false,"generative_ai":true,"nemo_evaluator":false,"nemo_guardrails":true,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=TX-NNK2FRdY"} | NeMo, NeMo Customizer, NeMo Evaluator, NeMo Guardrails | spreadsheet | Customizing AI Agents for Tool Calling  | rag, nemo_guardrails, cosmos, generative_ai, nemo_evaluator |
| Video | 1780650582 | Listen to NVIDIA’s VP of Generative AI Research, Ming-Yu, to learn how Cosmos is making physical AI development more accessible with open models and tools for custom world models. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://youtu.be/kChwwFb5gMU?feature=shared"} | Cosmos | spreadsheet | Introduction to World Foundation Models | xr |
| Blog | 1780650582 | NVIDIA's GTC unveiled Cosmos Transfer for high-fidelity virtual scenes, a 15TB Physical AI Dataset, and Isaac GR00T N1 for humanoid robot reasoning, all open-source. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://huggingface.co/blog/nvidia-physical-ai"} | Cosmos | spreadsheet | New Open Models and Datasets | xr |
| Blog | 1745941447 | It’s 10 p.m. on a Tuesday when the phone rings at the Sapochnick Law Firm, a specialized law practice in San Diego, California. The caller, a client of the firm… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/spotlight-personal-ai-brings-ai-receptionists-to-small-business-owners-with-nvidia-riva/"} | NIM, Riva | techblog | Spotlight: Personal AI Brings AI Receptionists to Small Business Owners with NVIDIA Riva | riva |
| Blog | 1745388000 | Enterprise data is constantly changing. This presents significant challenges for maintaining AI system accuracy over time. As organizations increasingly rely on… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/enhance-your-ai-agent-with-data-flywheels-using-nvidia-nemo-microservices/"} | NeMo, NeMo Curator, NeMo Customizer, NeMo Evaluator, NeMo Guardrails, NeMo Microservices, NIM | techblog | Enhance Your AI Agent with Data Flywheels Using NVIDIA NeMo Microservices | nemo_curator, rag, nemo_guardrails, nemo_customizer, nemo_evaluator |
| Blog | 1746099318 | Stacking generalization is a widely used technique among machine learning (ML) engineers, where multiple models are combined to boost overall predictive… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/stacking-generalization-with-hpo-maximize-accuracy-in-15-minutes-with-nvidia-cuml/"} | cuML, RAPIDS | techblog | Stacking Generalization with HPO: Maximize Accuracy in 15 Minutes with NVIDIA cuML | data_science |
| Blog | 1745497800 | Real-time ray tracing is a powerful rendering technique that can create incredibly realistic images. NVIDIA OptiX and RTX technology make this possible… | false | {} | Intermediate, Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/fast-ray-tracing-of-dynamic-scenes-using-nvidia-optix-9-and-nvidia-rtx-mega-geometry/"} | OptiX, RTX Kit | techblog | Fast Ray Tracing of Dynamic Scenes Using NVIDIA OptiX 9 and NVIDIA RTX Mega Geometry | rtx_kit_practitioner, ray_tracing |
| Blog | 1746609751 | Curating high-quality pretraining datasets is critical for enterprise developers aiming to train state-of-the-art large language models (LLMs). | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-nemotron-cc-a-high-quality-trillion-token-dataset-for-llm-pretraining-from-common-crawl-using-nvidia-nemo-curator/"} | cuDF, cuML, NeMo Curator, RAPIDS | techblog | Building Nemotron-CC, A High-Quality Trillion Token Dataset for LLM Pretraining from Common Crawl Using NVIDIA NeMo Curator | data_science, nemo_curator |
| Blog | 1746626271 | In today’s educational landscape, generative AI tools have become both a blessing and a challenge. While these tools offer unprecedented access to information… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/concept%e2%80%91driven-ai-teaching-assistant-guides-students-to-deeper-insights/"} | Blueprint, DGX Cloud, NeMo Guardrails, NeMo Retriever | techblog | Concept‑Driven AI Teaching Assistant Guides Students to Deeper Insights | nemo_retriever, rag, nemo_guardrails |
| Blog | 1746717521 | As modern enterprise and cloud environments scale, the complexity and volume of network traffic increase dramatically. NetFlow is used to record metadata about… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/applying-autoencoder-based-gnns-for-high-throughput-network-anomaly-detection-in-netflow-data/"} | Morpheus | techblog | Applying Autoencoder-Based GNNs for High-Throughput Network Anomaly Detection in NetFlow Data | morpheus |
| Blog | 1746691200 | From the Stone Age to the digital era, materials have been the foundation of our civilization across all epochs. Today, finding new materials leads to progress… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/spotlight-accelerating-the-discovery-of-new-battery-materials-with-ses-ais-molecular-universe/"} | cuML | techblog | Spotlight: Accelerating the Discovery of New Battery Materials with SES AI's Molecular Universe | data_science |
| Container | 1773566335 | NVIDIA NeMo Evaluator-compatible container with BFCL support. Based on BFCL available at: https://github.com/ShishirPatil/gorilla | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/bfcl"} |  | ngc | NVIDIA BFCL | conversational_ai, cosmos, generative_ai, rag |
| Blog | 1747215206 | Synthetic data has become a standard part of large language model (LLM) post-training procedures. Using a large number of synthetically generated examples from… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-custom-reasoning-models-with-advanced-open-post-training-datasets/"} | NeMo, NeMo Curator, NeMo Customizer | techblog | Build Custom Reasoning Models with Advanced, Open Post-Training Datasets | nemo_curator, generative_ai, nemo_customizer |
| Blog | 1747214166 | Join us at GTC Paris on June 10th and choose from six full-day, instructor-led workshops. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-eu/gtc/training/?nvid=nv-int-tblg-217867#new_tab"} | CUDA, Isaac SDK, Omniverse | techblog | Get Trained and Certified at GTC Paris at VivaTech 2025 | ray_tracing, usd_resources |
| Blog | 1747308696 | Imagine analyzing millions of NYC ride-share journeys—tracking patterns across boroughs, comparing service pricing, or identifying profitable pickup locations. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/simplify-setup-and-boost-data-science-in-the-cloud-using-nvidia-cuda-x-and-coiled/"} | RAPIDS | techblog | Simplify Setup and Boost Data Science in the Cloud using NVIDIA CUDA-X and Coiled | data_science |
| Blog | 1747303200 | The world of big data analytics is constantly seeking ways to accelerate processing and reduce infrastructure costs. Apache Spark has become a leading platform… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/predicting-performance-on-apache-spark-with-gpus/"} | RAPIDS | techblog | Predicting Performance on Apache Spark with GPUs | data_science |
| Blog | 1746694800 | Apache Spark is an industry-leading platform for big data processing and analytics. With the increasing prevalence of unstructured data—documents, emails… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerate-deep-learning-and-llm-inference-with-apache-spark-in-the-cloud/"} | RAPIDS | techblog | Accelerate Deep Learning and LLM Inference with Apache Spark in the Cloud | data_science |
| Container | 1773566400 | NVIDIA NeMo Evaluator-compatible container with BigCode-Evaluation-Harness support. Based on BigCode available at: https://github.com/bigcode-project/bigcode-evaluation-harness | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/bigcode-evaluation-harness"} |  | ngc | NVIDIA BigCode-Evaluation-Harness | conversational_ai, cosmos, generative_ai, rag |
| Blog | 1780650582 | NVIDIA announced updates to Isaac Sim and Lab at COMPUTEX 2025 to accelerate robot development, focusing on simulation and robot learning | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/advanced-sensor-physics-customization-and-model-benchmarking-coming-to-nvidia-isaac-sim-and-nvidia-isaac-lab/"} | Cosmos, Isaac Sim, Isaac | spreadsheet | NVIDIA Isaac Sim & Lab Updates Accelerate Robot Development | xr |
| Blog | 1780650582 | Cosmos Reason enhances the decision-making and interaction capabilities of robots and autonomous vehicles with SDG. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/curating-synthetic-datasets-to-train-physical-ai-models-with-nvidia-cosmos-reason/"} | Cosmos, DRIVE AV | spreadsheet | Bridging Physical AI and Embodied Reasoning | xr |
| Blog | 1780650582 | Explore how to use the latest Cosmos WFMs—Transfer, Predict, and Reason—and their key capabilities that advance physical AI. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/scale-synthetic-data-and-physical-ai-reasoning-with-nvidia-cosmos-world-foundation-models/"} | Cosmos | spreadsheet | Scale Synthetic Data with NVIDIA Cosmos WFMs | xr |
| Blog | 1780650582 | Read how Cosmos Reason generates accurate captions and decisions for synthetic data, enhancing training for robots and autonomous vehicles. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://huggingface.co/blog/PranjaliJoshi/cosmos-reason-world-foundation-model"} | Cosmos, Isaac Sim, Isaac | spreadsheet | NVIDIA Cosmos Reason Now Available on Hugging Face | xr |
| Webinar | 1780650582 | Learn best practices for integrating NeMo components to optimize AI agent performance. | false | {"cosmos":false,"dlss_practitioner":false,"generative_ai":true,"nemo_curator":false,"nemo_customizer":false,"nemo_evaluator":false,"nemo_guardrails":true,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/events/supercharge-agentic-ai-build-scalable-data-flywheels/"} | NeMo, NeMo Evaluator, NeMo Customizer, NeMo Guardrails | spreadsheet | Supercharge Agentic AI: Build Scalable Data Flywheels | nemo_curator, rag, nemo_guardrails, dlss_practitioner, cosmos, generative_ai, nemo_customizer, nemo_evaluator |
| Blog | 1747995368 | ​​LLM Streaming sends a model’s response incrementally in real time, token by token, as it’s being generated. The output streaming capability has evolved from... | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/stream-smarter-and-safer-learn-how-nvidia-nemo-guardrails-enhance-llm-output-streaming/"} | NeMo Guardrails, NeMo Microservices | techblog | Stream Smarter and Safer: Learn how NVIDIA NeMo Guardrails Enhance LLM Output Streaming | nemo_guardrails, generative_ai |
| Container | 1762438581 | World-class multimodal question-answering retrieval. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/llama-3.2-nemoretriever-1b-vlm-embed-v1"} |  | ngc | Llama 3.2 NeMo Retriever Multimodal Embedding 1B | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Model | 1763421826 | NVOF is a deep learning based optical flow estimation and stereo matching solution. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/multimedia/models/nvof"} |  | ngc | NVOF | inference |
| Container | 1766007694 | TensorRT Production Branch May 2025 (PB 25h1) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. This release is a branch of TensorRT 25.03. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tensorrt-pb25h1"} |  | ngc | TensorRT May 2025 (PB25h1) | inference |
| Container | 1764096072 | NVIDIA Morpheus Production Branch May 2025 (PB 25h1) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/morpheus-pb25h1"} |  | ngc | NVIDIA Morpheus PB May 2025 (PB 25h1) | cybersecurity, cuvs, morpheus |
| Container | 1766013099 | NVIDIA RAPIDS Production Branch May 2025 (PB 25h1) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/rapids-pb25h1"} |  | ngc | NVIDIA RAPIDS PB May 2025 (PB 25h1) | morpheus |
| Blog | 1748512540 | Over the past two releases, RAPIDS introduced zero-code-change acceleration for Python machine learning, huge IO performance improvements… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/rapids-brings-zero-code-change-acceleration-io-performance-gains-and-out-of-core-xgboost/"} | RAPIDS | techblog | RAPIDS Brings Zero-Code-Change Acceleration, IO Performance Gains, and Out-of-Core XGBoost | data_science |
| Blog | 1747906200 | What does it take to win a Kaggle competition in 2025? In the April Playground challenge, the goal was to predict how long users would listen to a podcast—and… | false | {} | Intermediate, Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/grandmaster-pro-tip-winning-first-place-in-a-kaggle-competition-with-stacking-using-cuml/"} | cuML, RAPIDS | techblog | Grandmaster Pro Tip: Winning First Place in a Kaggle Competition with Stacking Using cuML | data_science |
| Blog | 1747659600 | In traditional clinical medical practice, treatment decisions are often based on general guidelines, past experiences, and trial-and-error approaches. Today… | false | {} | Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/spotlight-atgenomix-seqslab-scales-health-omics-analysis-for-precision-medicine/"} | Parabricks, RAPIDS | techblog | Spotlight: Atgenomix SeqsLab Scales Health Omics Analysis for Precision Medicine | data_science |
| Blog | 1747609200 | Announced at COMPUTEX 2025, the NVIDIA Omniverse Blueprint for AI factory digital twins has expanded to support OpenUSD schemas. The blueprint features new… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/designing-ai-factories-using-openusd-and-simready-assets/"} | Blueprint, Omniverse | techblog | Designing AI Factories Using OpenUSD and SimReady Assets | ray_tracing, usd_resources |
| Blog | 1748594728 | Slow and inefficient query generation from natural language inputs bottlenecks decision-making. This forces analysts and business users to rely heavily on data… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-text-to-sql-inference-on-vanna-with-nvidia-nim-for-faster-analytics/"} | NeMo Retriever, NIM | techblog | Accelerating Text-to-SQL Inference on Vanna with NVIDIA NIM for Faster Analytics | nemo_retriever, generative_ai |
| Blog | 1748607403 | NVIDIA Isaac GR00T-Dreams enables developers to generate large-scale synthetic trajectory data from minimal human demonstrations, enabling robots to quickly… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=8Mwrfvq-GeY%20#new_tab"} | Cosmos | techblog | How Robot Brains Dream and Explore Unseen Worlds | cosmos, generative_ai |
| Blog | 1748605362 | Large language models (LLMs) are capable of recognizing, summarizing, translating, predicting, and generating content. Yet even the most powerful LLMs face… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-deep-learning-institute-offers-multilingual-ai-training-at-gtc-paris/"} | NeMo, NeMo Evaluator, TensorRT-LLM | techblog | NVIDIA Deep Learning Institute Offers Multilingual AI Training at GTC Paris | generative_ai, nemo_evaluator |
| Blog | 1749032191 | NVIDIA is driving state-of-the-art performance, efficiency, and accessibility in both speech AI and language models, setting the stage for innovations that are… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-speech-ai-models-deliver-industry-leading-accuracy-and-performance/"} | NIM, Riva | techblog | NVIDIA Speech AI Models Deliver Industry-Leading Accuracy and Performance | riva, conversational_ai |
| Blog | 1749027915 | The success of LLMs in chat and digital assistant applications is sparking high expectations for their potential in business process automation. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/streamline-trade-capture-and-evaluation-with-self-correcting-ai-workflows/"} | NIM | techblog | Streamline Trade Capture and Evaluation with Self-Correcting AI Workflows | generative_ai |
| Blog | 1748858400 | The evolution of large language models (LLMs) has been marked by significant advancements in their ability to process and generate text. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/scaling-to-millions-of-tokens-with-efficient-long-context-llm-training/"} | cuDNN, NeMo | techblog | Scaling to Millions of Tokens with Efficient Long-Context LLM Training | conversational_ai, generative_ai |
| Blog | 1749621600 | Biomedical research and drug discovery have long been constrained by labor-intensive processes. In order to kick-off a drug discovery campaign… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/advancing-literature-review-amp-target-discovery-with-nvidia-biomedical-ai-q-research-agent-blueprint/"} | BioNeMo, Blueprint, NIM | techblog | Advancing Literature Review & Target Discovery With NVIDIA Biomedical AI-Q Research Agent Blueprint | generative_ai |
| Blog | 1749614400 | Imagine you’re leading security for a large enterprise and your teams are eager to leverage AI for more and more projects. There’s a problem, though. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/securely-deploy-ai-models-with-nvidia-nim/"} | AI Enterprise, NIM | techblog | Securely Deploy AI Models with NVIDIA NIM | generative_ai |
| Blog | 1780650582 | Learn about AI-Q, a free reference implementation for building advanced AI agents that connect to your data, reason, and deliver fast, accurate answers. | false | {"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/chat-with-your-enterprise-data-through-open-source-ai-q-nvidia-blueprint/"} | NeMo, NeMo Evaluator, NeMo Customizer, NeMo Guardrails | spreadsheet | Chat With Your Enterprise Data With the AI-Q Blueprint | rag |
| Blog | 1749614400 | Integrating large language models (LLMs) into a production environment, where real users interact with them at scale, is the most important part of any AI… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/simplify-llm-deployment-and-ai-inference-with-unified-nvidia-nim-workflow/"} | NIM | techblog | Simplify LLM Deployment and AI Inference with a Unified NVIDIA NIM Workflow | generative_ai |
| Blog | 1749614400 | Businesses make thousands of decisions every day—what to produce, where to ship, how to allocate resources. At scale, optimizing these decisions becomes a… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerate-decision-optimization-using-open-source-nvidia-cuopt/"} | cuOpt | techblog | Accelerate Decision Optimization Using Open Source NVIDIA cuOpt | data_science |
| Blog | 1749110400 | Tree-ensemble models remain a go-to for tabular data because they’re accurate, comparatively inexpensive to train, and fast. But deploying Python inference on… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/supercharge-tree-based-model-inference-with-forest-inference-library-in-nvidia-cuml/"} | cuML, RAPIDS | techblog | Supercharge Tree-Based Model Inference with Forest Inference Library in NVIDIA cuML | data_science |
| Blog | 1748858400 | Artificial intelligence is bridging the gap between game visuals and state-of-the-art CGI in films. It is evolving traditional graphics programming and giving… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-releases-rtx-neural-rendering-tech-for-unreal-engine-developers/"} | ACE, Audio2Face, RTX GPU, RTX Kit | techblog | NVIDIA Releases RTX Neural Rendering Tech for Unreal Engine Developers | rtx_kit_practitioner, ray_tracing |
| Blog | 1780650582 | Create realistic, diverse training data from real-world environments with AV simulation using neural reconstructions and Cosmos models. | true | {"xr":true} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-av-simulation-with-neural-reconstruction-and-world-foundation-models/"} | Cosmos, DRIVE, DRIVE AV, Omniverse | spreadsheet | AV Simulation with Neural Reconstruction and Cosmos | xr |
| Blog | 1780650582 | Integrate Cosmos models into existing AV workflows to accelerate model training, improve generalization, and address edge cases more effectively. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/simplify-end-to-end-autonomous-vehicle-development-with-new-nvidia-cosmos-world-foundation-models/"} | Cosmos, DRIVE, DRIVE AV | spreadsheet | Simplify AV Development with New World Foundation Models | xr |
| Blog | 1749708000 | NVIDIA TensorRT for RTX is now available for download as an SDK that can be integrated into C++ and Python applications for both Windows and Linux. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/run-high-performance-ai-applications-with-nvidia-tensorrt-for-rtx/"} | TensorRT | techblog | Run High-Performance AI Applications with NVIDIA TensorRT for RTX | generative_ai |
| Blog | 1780650582 | Explore how our new AI blueprint can help enable self-improving AI agents by automating model optimization. | false | {"generative_ai":false,"nemo_curator":false,"nemo_customizer":false,"nemo_evaluator":false,"nemo_guardrails":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-efficient-ai-agents-through-model-distillation-with-nvidias-data-flywheel-blueprint/"} | NeMo, NeMo Evaluator, NeMo Customizer, NeMo Guardrails | spreadsheet | Build Efficient AI Agents With the Data Flywheel Blueprint | nemo_curator, rag, nemo_guardrails, generative_ai, nemo_customizer, nemo_evaluator |
| GitHub | 1780650582 | Accelerate LP, MIP, and VRP with GPU power—min code changes required. Get started in minutes and achieve near real-time performance for even your most complex optimization workloads. | true | {"morpheus":true} | Intermediate | {"text" => "Learn more", "url" => "https://github.com/NVIDIA/cuopt"} | cuOpt | spreadsheet | NVIDIA cuOpt on GitHub | morpheus |
| Video | 1780650582 | Get an overview of what a data flywheel is, how a data flywheel automates the optimization of AI agents by continuously automating model distillation and experimentation. | false | {"generative_ai":false,"nemo_curator":false,"nemo_customizer":false,"nemo_evaluator":false,"nemo_guardrails":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://youtu.be/hTYrjYbFHyU"} | NeMo, NeMo Evaluator, NeMo Customizer, NeMo Guardrails | spreadsheet | Optimize AI Agents With a Data Flywheel | nemo_curator, rag, nemo_guardrails, generative_ai, nemo_customizer, nemo_evaluator |
| Example | 1780650582 | Build a data flywheel, with NVIDIA NeMo microservices, that continuously optimizes AI agents for latency and cost — while maintaining accuracy targets. | true | {"generative_ai":true,"nemo_curator":true,"nemo_customizer":true,"nemo_evaluator":true,"nemo_guardrails":true,"rag":true} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/build-an-enterprise-data-flywheel"} | NeMo, NeMo Evaluator, NeMo Customizer, NeMo Guardrails | spreadsheet | Data Flywheel Blueprint | nemo_curator, rag, nemo_guardrails, generative_ai, nemo_customizer, nemo_evaluator |
| Blog | 1780650582 | Agent toolkit integrates with NVIDIA's Omniverse, Cosmos, and NIM microservices to enhance realism and scalability in physical AI development. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/scale-realistic-robot-simulation-using-the-nvidia-nemo-agent-toolkit-for-physical-ai/"} | Cosmos, NeMo Agent Toolkit, Omniverse, USD | spreadsheet | Scale SDG With the NVIDIA NeMo Agent Toolkit | xr |
| Video | 1780650582 | Build AI agents that use reasoning and connect to many data sources and tools to distill in-depth source materials with efficiency and precision. | false | {"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://youtu.be/1auHkFYrDO4"} | NeMo Agent Toolkit | spreadsheet | Unlock the Power of AI Agents with the AI-Q NVIDIA Blueprint | rag |
| Example | 1780650582 | Build AGA powered by AGI models that continuously process and synthesize multimodal enterprise data, enabling reasoning, planning, and refinement to generate comprehensive reports. | true | {"rag":true} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/aiq"} | NeMo Agent Toolkit | spreadsheet | AI-Q Blueprint | rag |
| Blog | 1749708000 | The future of cell biology and virtual cell models is dependent on measuring and analyzing data at scale. Single-cell experiments have been growing at an… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/driving-toward-billion-cell-analysis-and-biological-breakthroughs-with-rapids-singlecell/"} | Blackwell, RAPIDS | techblog | Driving Toward Billion-Cell Analysis and Biological Breakthroughs with RAPIDS-singlecell | data_science |
| Blog | 1754899200 | At SIGGRAPH 2025, NVIDIA released general access for NVIDIA Isaac Sim and NVIDIA Isaac Lab reference robotics simulation and learning frameworks. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/isaac-sim-and-isaac-lab-are-now-available-for-early-developer-preview/"} | Cosmos, Isaac Sim, Omniverse | techblog | Announcing General Availability for NVIDIA Isaac Sim 5.0 and NVIDIA Isaac Lab 2.2 | ray_tracing, usd_resources, cosmos |
| Blog | 1750068000 | Generalist robotics have arrived, powered by advances in mechatronics and robot AI foundation models. But a key bottleneck remains: robots need vast training… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/enhance-robot-learning-with-synthetic-trajectory-data-generated-by-world-foundation-models/"} | Blueprint, Cosmos, Isaac Sim, Jetson Orin, Omniverse | techblog | Enhance Robot Learning with Synthetic Trajectory Data Generated by World Foundation Models | ray_tracing, usd_resources, cosmos |
| Blog | 1750249763 | In today’s fast-paced IT environment, not all incidents begin with obvious alarms. They may start as subtle, scattered signals, a missed alert… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/real-time-it-incident-detection-and-intelligence-with-nvidia-nim-inference-microservices-and-itmonitron/"} | NIM | techblog | Real-Time IT Incident Detection and Intelligence with NVIDIA NIM Inference Microservices and ITMonitron | nim, generative_ai |
| Blog | 1750253511 | As enterprises generate and consume increasing volumes of diverse data, extracting insights from multimodal documents, like PDFs and presentations… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/run-multimodal-extraction-for-more-efficient-ai-pipelines-using-one-gpu/"} | Blueprint, NeMo Retriever | techblog | Run Multimodal Extraction for More Efficient AI Pipelines Using One GPU | nemo_retriever, rag, generative_ai |
| Container | 1773681722 | NVIDIA NeMo Evaluator-compatible container with Retriever and RAG Eval support | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/rag_retriever_eval"} |  | ngc | NVIDIA Retriever and RAG Eval | conversational_ai, cosmos, generative_ai, morpheus, nemo_curator, rag |
| Blog | 1750756726 | To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/introducing-nvfp4-for-efficient-and-accurate-low-precision-inference/"} | Blackwell, TensorRT, TensorRT-LLM | techblog | Introducing NVFP4 for Efficient and Accurate Low-Precision Inference | inference |
| Model | 1681842221 | Base Arabic 4-gram LM | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/speechtotext_ar_ar_lm"} | Riva | ngc | Riva ASR Arabic LM | riva, conversational_ai |
| Blog | 1750849192 | Join NVIDIA experts and leading European model builders on July 8 for a webinar on building and deploying multilingual large language models. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/events/sovereign-ai-in-practice-webinar/?ncid=ref-dev-171762-emeatalks"} | NeMo, NeMo Evaluator, TensorRT-LLM | techblog | Check Out Sovereign AI in Practice Through an NVIDIA Webinar | conversational_ai, generative_ai, nemo_evaluator |
| Blog | 1750846439 | A typical recipe for improving LLMs involves multiple stages: synthetic data generation (SDG), model training through supervised fine-tuning (SFT) or… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-streamline-complex-llm-workflows-using-nvidia-nemo-skills/"} | NeMo, TensorRT-LLM | techblog | How to Streamline Complex LLM Workflows Using NVIDIA NeMo-Skills | generative_ai |
| Blog | 1750845600 | The NVIDIA DOCA framework has evolved to become a vital component of next-generation AI infrastructure. From its initial release to the highly anticipated… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/powering-the-next-frontier-of-networking-for-ai-platforms-with-nvidia-doca-3-0/"} | BlueField DPU, ConnectX, DOCA, NIM | techblog | Powering the Next Frontier of Networking for AI Platforms with NVIDIA DOCA 3.0 | nim |
| Blog | 1750154400 | Large language models (LLMs) have created unprecedented opportunities across various industries. However, moving LLMs from research and development into… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/fine-tuning-llmops-for-rapid-model-evaluation-and-ongoing-optimization/"} | AI Enterprise, Blueprint, NeMo Curator, NeMo Customizer, NeMo Evaluator, NeMo Guardrails, NeMo Microservices, NIM | techblog | Fine-Tuning LLMOps for Rapid Model Evaluation and Ongoing Optimization | nemo_curator, nemo_guardrails, generative_ai, nemo_customizer, nemo_evaluator |
| Blog | 1750233600 | NVIDIA leverages data science and machine learning to optimize chip manufacturing and operations workflows—from wafer fabrication and circuit probing to… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/ai-in-manufacturing-and-operations-at-nvidia-accelerating-ml-models-with-nvidia-cuda-x-data-science/"} | CUDA, cuDF, cuML | techblog | AI in Manufacturing and Operations at NVIDIA: Accelerating ML Models with NVIDIA CUDA-X Data Science | data_science |
| Blog | 1750931100 | As of today, NVIDIA now supports the general availability of Gemma 3n on NVIDIA RTX and Jetson. Gemma, previewed by Google DeepMind at Google I/O last month… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/run-google-deepminds-gemma-3n-on-nvidia-jetson-and-rtx/"} | Jetson, Jetson Orin, NeMo, NeMo Curator, NeMo Evaluator, NeMo Microservices, RTX GPU | techblog | Run Google DeepMind’s Gemma 3n on NVIDIA Jetson and RTX | nemo_curator, generative_ai, nemo_evaluator |
| Blog | 1750819748 | Customizing embedding models is crucial for effective information retrieval, especially when working with domain-specific data like legal text, medical records… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/boost-embedding-model-accuracy-for-custom-information-retrieval/"} | NeMo Curator | techblog | Boost Embedding Model Accuracy for Custom Information Retrieval | nemo_curator, generative_ai |
| Blog | 1750752000 | Join us on June 26 to learn how to distill cost-efficient models with the NVIDIA Data Flywheel Blueprint. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://www.addevent.com/event/Yf25958545"} | NeMo, NeMo Microservices | techblog | Upcoming Livestream: Beyond the Algorithm With NVIDIA | generative_ai |
| Blog | 1750240800 | A chunking strategy is the method of breaking down large documents into smaller, manageable pieces for AI retrieval. Poor chunking leads to irrelevant results… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/finding-the-best-chunking-strategy-for-accurate-ai-responses/"} | Blueprint | techblog | Finding the Best Chunking Strategy for Accurate AI Responses | generative_ai |
| Blog | 1751018400 | In high-stakes fields such as quant finance, algorithmic trading, and fraud detection, data practitioners frequently need to process hundreds of gigabytes (GB)… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-work-with-data-exceeding-vram-in-the-polars-gpu-engine/"} | cuDF, RAPIDS | techblog | How to Work with Data Exceeding VRAM in the Polars GPU Engine | data_science |
| Blog | 1751277394 | Data goes far beyond text—it is inherently multimodal, encompassing images, video, audio, and more, often in complex and unstructured formats. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/best-in-class-multimodal-rag-how-the-llama-3-2-nemo-retriever-embedding-model-boosts-pipeline-accuracy/"} | NeMo, NeMo Retriever | techblog | Best-in-Class Multimodal RAG: How the Llama 3.2 NeMo Retriever Embedding Model Boosts Pipeline Accuracy | nemo_retriever, rag, generative_ai |
| Blog | 1751276579 | NeMo Retriever tops several visual document retrieval leaderboards, setting new standards for RAG apps. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://huggingface.co/nvidia/llama-nemoretriever-colembed-3b-v1/tree/main#new_tab"} | NeMo Retriever | techblog | NVIDIA NeMo Retriever Scores First Place for Visual Retrieval | nemo_retriever, generative_ai |
| Video | 1780650582 | NVIDIA NeMo Retriever sets a new standard for enterprise RAG applications, leading the industry with first-place performance across three top visual document retrieval leaderboards. | false | {"nemo_curator":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/shorts/VtyQdkpRsWA"} | NeMo Retriever, NeMo, NeMo Agent Toolkit | spreadsheet | NVIDIA NeMo Retriever Scores 1st Place For Visual Retrieval | nemo_curator |
| Blog | 1751436000 | FLUX.1 Kontext, the recently released model from Black Forest Labs, is a fascinating addition to the repertoire of community image generation models. | false | {} | Intermediate, Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/optimizing-flux-1-kontext-for-image-editing-with-low-precision-quantization/"} | Blackwell, RTX GPU, TensorRT | techblog | Optimizing FLUX.1 Kontext for Image Editing with Low-Precision Quantization | generative_ai |
| Blog | 1751542917 | AI agents powered by large language models are transforming enterprise workflows, but high inference costs and latency can limit their scalability and user… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/new-video-build-self-improving-ai-agents-with-the-nvidia-data-flywheel-blueprint/"} | Blueprint, NeMo Microservices, NIM | techblog | New Video: Build Self-Improving AI Agents with the NVIDIA Data Flywheel Blueprint | nim, generative_ai |
| Blog | 1751550939 | RAPIDS, a suite of NVIDIA CUDA-X libraries for Python data science, released version 25.06, introducing exciting new features. These include a Polars GPU… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/rapids-adds-gpu-polars-streaming-a-unified-gnn-api-and-zero-code-ml-speedups/"} | General, RAPIDS | techblog | RAPIDS Adds GPU Polars Streaming, a Unified GNN API, and Zero-Code ML Speedups | data_science |
| Blog | 1751882400 | This is the third post in the large language model latency-throughput benchmarking series, which aims to instruct developers on how to benchmark LLM inference… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/llm-inference-benchmarking-performance-tuning-with-tensorrt-llm/"} | TensorRT, TensorRT-LLM | techblog | LLM Inference Benchmarking: Performance Tuning with TensorRT-LLM | generative_ai |
| Blog | 1751888700 | As AI evolves to planning, research, and reasoning with agentic AI, workflows are becoming increasingly complex. To deploy agentic AI applications efficiently… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/turbocharging-ai-factories-with-dpu-accelerated-service-proxy-for-kubernetes/"} | BlueField DPU, NIM | techblog | Turbocharging AI Factories with DPU-Accelerated Service Proxy for Kubernetes | nim, generative_ai |
| Blog | 1751450400 | As part of continued efforts to ensure NVIDIA Omniverse is a developer-first platform, NVIDIA will be deprecating the Omniverse Launcher on Oct. 1. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-omniverse-what-developers-need-to-know-about-migration-away-from-launcher/"} | Omniverse | techblog | NVIDIA Omniverse: What Developers Need to Know About Migration Away From Launcher | ray_tracing, usd_resources |
| Blog | 1752062400 | Reinforcement learning (RL) is the backbone of interactive AI. It is fundamental for teaching agents to reason and learn from human preferences… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/reinforcement-learning-with-nvidia-nemo-rl-reproducing-a-deepscaler-recipe-using-grpo/"} | NeMo | techblog | Reinforcement Learning with NVIDIA NeMo-RL: Reproducing a DeepScaleR Recipe Using GRPO | generative_ai |
| Blog | 1752485400 | While speech AI is used to build digital assistants and voice agents, its impact extends far beyond these applications. Core technologies like text-to-speech… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/enhancing-multilingual-human-like-speech-and-voice-cloning-with-nvidia-riva-tts/"} | AI Enterprise, NIM, Riva | techblog | Enhancing Multilingual Human-Like Speech and Voice Cloning with NVIDIA Riva TTS | riva, nim |
| Blog | 1752653668 | A major challenge in robotics is training robots to perform new tasks without the massive effort of collecting and labeling datasets for every new task and… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/r2d2-training-generalist-robots-with-nvidia-research-workflows-and-world-foundation-models/"} | Cosmos, Isaac ROS | techblog | R²D²: Training Generalist Robots with NVIDIA Research Workflows and World Foundation Models | cosmos |
| Container | 1766013138 | Triton Inference Server PB May 2025 (PB 25h1) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tritonserver-pb25h1"} |  | ngc | Triton Inference Server PB March 2025 (PB 25h1) | inference |
| Container | 1773681647 | NVIDIA NeMo Evaluator-compatible container with Agentic Eval support | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/agentic_eval"} |  | ngc | NVIDIA Agentic Eval | conversational_ai, cosmos, generative_ai, rag |
| Blog | 1752747447 | Top‑ranked on the HuggingFace Open‑ASR leaderboard, the model is production‑ready. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://huggingface.co/spaces/hf-audio/open_asr_leaderboard"} | Riva | techblog | NVIDIA Canary‑Qwen‑2.5B: Open‑Source ASR/LLM for Superior Transcription and Summarization | riva |
| Blog | 1752743046 | In our previous post, we introduced the setup of predictive modeling in chip manufacturing and operations, highlighting common challenges such as imbalanced… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/feature-engineering-at-scale-optimizing-ml-models-in-semiconductor-manufacturing-with-nvidia-cuda%e2%80%91x-data-science/"} | cuDF, cuML, RAPIDS | techblog | Feature Engineering at Scale: Optimizing ML Models in Semiconductor Manufacturing with NVIDIA CUDA‑X Data Science | data_science |
| Blog | 1752757983 | The best way to learn a new toolkit is to build something real, and that’s exactly what developers did at the recent NVIDIA NeMo Agent Toolkit Hackathon. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/hackathon-winners-bring-agentic-ai-to-life-with-the-nvidia-nemo-agent-toolkit/"} | cuOpt, NeMo | techblog | Hackathon Winners Bring Agentic AI to Life with the NVIDIA NeMo Agent Toolkit | generative_ai |
| Video | 1780650582 | Explore the NVIDIA Data Flywheel Blueprint, an open reference architecture for distilling knowledge from larger models into smaller, faster, and cost-efficient alternatives. | true | {"generative_ai":true,"nemo_curator":true,"nemo_customizer":true,"nemo_evaluator":true,"nemo_guardrails":true,"rag":true} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=NBcZOQHn46g"} | NeMo, NeMo Evaluator, NeMo Customizer, NeMo Guardrails | spreadsheet | Beyond the Algorithm with NVIDIA | nemo_curator, rag, nemo_guardrails, generative_ai, nemo_customizer, nemo_evaluator |
| Training | 1780650582 | Learn the basics of a typical data curation pipelines for text, images and video, and about deduplication and personal identifiable information (PII) redaction. | false | {"nemo_customizer":false} | General Interest | {"text" => "Learn more", "url" => "https://learn.nvidia.com/courses/course-detail?course_id=course-v1:NVIDIA+S-FX-27+V1"} | Cosmos, NeMo Curator | spreadsheet | Introduction to Multi-Modal Data Curation | nemo_customizer |
| Blog | 1753173416 | Try the new 1T-parameter open source MoE LLM today. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://build.nvidia.com/moonshotai/kimi-k2-instruct#new_tab"} | NIM | techblog | Kimi-K2-Instruct Now Available as NVIDIA NIM | nim, generative_ai |
| Blog | 1753208336 | Have you ever wanted to build your own reasoning models such as the open NVIDIA Nemotron, but thought it was too complicated or required massive resources? | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/train-a-reasoning-capable-llm-in-one-weekend-with-nvidia-nemo/"} | NeMo, NeMo Curator, NeMo Evaluator, Nemotron | techblog | Train a Reasoning-Capable LLM in One Weekend with NVIDIA NeMo | nemo_curator, nemo_evaluator |
| Blog | 1753268174 | The PDF is among the most common file formats for sharing information such as financial reports, research papers, technical documents, and marketing materials. | false | {} | Intermediate, Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/approaches-to-pdf-data-extraction-for-information-retrieval/"} | Blueprint, cuVS, NeMo, NeMo Retriever | techblog | Approaches to PDF Data Extraction for Information Retrieval | nemo_retriever, rag, generative_ai, cuvs |
| Blog | 1753266600 | The process of converting vast libraries of text into numerical representations known as embeddings is essential for generative AI. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/serverless-distributed-data-processing-with-apache-spark-and-nvidia-ai-on-azure/"} | NIM, RAPIDS | techblog | Serverless Distributed Data Processing with Apache Spark and NVIDIA AI on Azure | nim, data_science, generative_ai |
| Blog | 1753088400 | Ever relied on an old GPS that didn’t know about the new highway bypass, or a sudden road closure? It might get you to your destination, but not in the most… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/traditional-rag-vs-agentic-rag-why-ai-agents-need-dynamic-knowledge-to-get-smarter/"} | NeMo, NIM, NVIDIA Agent Intelligence toolkit | techblog | Traditional RAG vs. Agentic RAG—Why AI Agents Need Dynamic Knowledge to Get Smarter | nim |
| Blog | 1752742800 | As large language models (LLMs) power more agentic systems capable of performing autonomous actions, tool use, and reasoning, enterprises are drawn to their… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/safeguard-agentic-ai-systems-with-the-nvidia-safety-recipe/"} | NeMo, NeMo Guardrails, NIM | techblog | Safeguard Agentic AI Systems with the NVIDIA Safety Recipe | nim, nemo_guardrails, generative_ai |
| Blog | 1752818400 | If you work with pandas, you’ve probably hit the wall. It’s that moment when your trusty workflow, so elegant on smaller datasets, grinds to a halt on a large… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/3-pandas-workflows-that-slowed-to-a-crawl-on-large-datasets-until-we-turned-on-gpus/"} | cuDF, RAPIDS | techblog | 3 pandas Workflows That Slowed to a Crawl on Large Datasets—Until We Turned on GPUs | data_science |
| Blog | 1753361140 | AI-powered search demands high-performance indexing, low-latency retrieval, and seamless scalability. NVIDIA cuVS brings GPU-accelerated vector search and… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/optimizing-vector-search-for-indexing-and-real-time-retrieval-with-nvidia-cuvs/"} | cuVS | techblog | Optimizing Vector Search for Indexing and Real-Time Retrieval with NVIDIA cuVS | rag, cuvs |
| Blog | 1752220800 | Being able to predict extreme weather events is essential as such conditions become more common and destructive. Subseasonal climate forecasting—predicting… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/forecasting-the-weather-beyond-two-weeks-using-nvidia-earth-2/"} | Omniverse, PhysicsNeMo | techblog | Forecasting the Weather Beyond Two Weeks Using NVIDIA Earth-2 | ray_tracing, usd_resources |
| Blog | 1752487200 | Discover leaderboard-winning RAG techniques, integration strategies, and deployment best practices. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://www.addevent.com/event/Ah26137584"} | NeMo | techblog | Upcoming Livestream: Techniques for Building High-Performance RAG Applications | generative_ai |
| Blog | 1753798500 | AI agents now solve multi-step problems, write production-level code, and act as general assistants across multiple domains. But to reach their full potential… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-more-accurate-and-efficient-ai-agents-with-the-new-nvidia-llama-nemotron-super-v1-5/"} | Nemotron, NIM | techblog | Build More Accurate and Efficient AI Agents with the New NVIDIA Llama Nemotron Super v1.5 | nim |
| Container | 1773566888 | NVIDIA NeMo Evaluator-compatible container with Simple-Evals support. Based on simple-evals available at: https://github.com/openai/simple-evals | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/simple-evals"} |  | ngc | NVIDIA Simple Evals | conversational_ai, cosmos, generative_ai, rag |
| Blog | 1753696800 | AI is entering a new era—one defined by agents that reason, plan, and take action. These agentic systems dynamically interact with APIs, tools… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/bringing-verifiable-trust-to-ai-models-model-signing-in-ngc/"} | AI Enterprise, NGC, NIM | techblog | Bringing Verifiable Trust to AI Models: Model Signing in NGC | conversational_ai, nim, generative_ai |
| Blog | 1753780155 | Enterprises generate and store vast amounts of unstructured data in documents like legal documents, sales documents, statement of work, delivery notices… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/turn-complex-documents-into-usable-data-with-vlm-nvidia-nemotron-parse-1-1/"} | NeMo Retriever | techblog | Turn Complex Documents into Usable Data with VLM, NVIDIA Nemotron Parse 1.1 | nemo_retriever |
| Blog | 1753781400 | Transferring 3D data between applications has long been a challenge, especially with proprietary formats such as native computer-aided design (CAD) files. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-cad-to-usd-workflows-with-nvidia-omniverse/"} | Omniverse | techblog | Building CAD to USD Workflows with NVIDIA Omniverse | ray_tracing, usd_resources |
| Blog | 1754063150 | You’ve been there. You wrote the perfect Python script, tested it on a sample CSV, and everything worked flawlessly. But when you unleashed it on the full 10… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/7-drop-in-replacements-to-instantly-speed-up-your-python-data-science-workflows/"} | cuDF, cuGraph, RAPIDS | techblog | 7 Drop-In Replacements to Instantly Speed Up Your Python Data Science Workflows | data_science |
| Blog | 1754058443 | Quantization is a core tool for developers aiming to improve inference performance with minimal overhead. It delivers significant gains in latency, throughput… | false | {} | Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/optimizing-llms-for-performance-and-accuracy-with-post-training-quantization/"} | Blackwell, TensorRT | techblog | Optimizing LLMs for Performance and Accuracy with Post-Training Quantization | inference |
| Blog | 1754388600 | NVIDIA and OpenAI began pushing the boundaries of AI with the launch of NVIDIA DGX back in 2016. The collaborative AI innovation continues with the OpenAI gpt… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/delivering-1-5-m-tps-inference-on-nvidia-gb200-nvl72-nvidia-accelerates-openai-gpt-oss-models-from-cloud-to-edge/"} | Blackwell, Dynamo, NIM, RTX GPU, TensorRT-LLM | techblog | NVIDIA Accelerates OpenAI gpt-oss Models Delivering 1.5 M TPS Inference on NVIDIA GB200 NVL72 | nim |
| Container | 1780617017 | The Dynamo vLLM runtime image is a containerized build of Dynamo + vLLM which serves as the base runtime environment for vLLM based inference with Dynamo's distributed inference framework. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/vllm-runtime"} |  | ngc | Dynamo vLLM Runtime | inference |
| Blog | 1748360626 | Join our live webinar on June 18 to see how NVIDIA NeMo microservices speed AI agent development. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/events/supercharge-agentic-ai-build-scalable-data-flywheels/#new_tab"} | NeMo Curator, NeMo Customizer, NeMo Evaluator, NeMo Guardrails, NeMo Microservices, NeMo Retriever | techblog | Upcoming Webinar: Supercharge Agentic AI with Scalable Data Flywheels | conversational_ai, nemo_curator, nemo_retriever, nemo_guardrails, generative_ai, nemo_customizer, nemo_evaluator |
| Blog | 1754301600 | A key challenge for retrieval-augmented generation (RAG) systems is handling user queries that lack explicit clarity or carry implicit intent. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-enhance-rag-pipelines-with-reasoning-using-nvidia-llama-nemotron-models/"} | NeMo Retriever, NIM | techblog | How to Enhance RAG Pipelines with Reasoning Using NVIDIA Llama Nemotron Models | nim, nemo_retriever, rag, generative_ai |
| Blog | 1754575602 | RAPIDS cuDF offers a broad set of ETL algorithms for processing data with GPUs. For pandas users, cuDF accelerated algorithms are available with the zero code… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/efficient-transforms-in-cudf-using-jit-compilation/"} | cuDF, GB200 | techblog | Efficient Transforms in cuDF Using JIT Compilation | data_science |
| Blog | 1754565936 | Gradient-boosted decision trees (GBDTs) power everything from real-time fraud filters to petabyte-scale demand forecasts. XGBoost open source library has long… | false | {} | Intermediate, Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/train-with-terabyte-scale-datasets-on-a-single-nvidia-grace-hopper-superchip-using-xgboost-3-0/"} | GB200, NVLink, RAPIDS | techblog | Train with Terabyte-Scale Datasets on a Single NVIDIA Grace Hopper Superchip Using XGBoost 3.0 | data_science |
| Blog | 1753779600 | Take the next step in your 3D development career with OpenUSD certification. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/learn/certification/openusd-development-professional/?ncid=em-prod-351760"} | Omniverse | techblog | Ready to Get USD Certified? | ray_tracing, usd_resources |
| Research | 1780650582 | NVIDIA's Cosmos world foundation models generate and curate synthetic data to boost physical AI training for robotics and autonomous vehicles. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/r2d2-boost-robot-training-with-world-foundation-models-and-workflows-from-nvidia-research/"} | Cosmos, Isaac | spreadsheet | Boost Robot Training with WFMs and Workflows | xr |
| Research | 1780650582 | NVIDIA debuts neural rendering, 3D generation, and simulation advances driving robotics, autonomous vehicles, and content creation at SIGGRAPH 2025. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://blogs.nvidia.com/blog/physical-ai-research-siggraph-2025/"} | Cosmos, Isaac Sim, Omniverse, Metropolis | spreadsheet | NVIDIA Research Shapes Physical AI at SIGGRAPH 2025 | xr |
| Blog | 1780650582 | NVIDIA Omniverse NuRec and 3DGUT quickly turn photos into photorealistic 3D scenes for robot and AV simulation, enabling rapid, realistic, scalable training. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-instantly-render-real-world-scenes-in-interactive-simulation/"} | Cosmos, Omniverse, Isaac Sim | spreadsheet | Instantly Render Real-World Scenes in Interactive Simulation | xr |
| Blog | 1780650582 | NVIDIA Cosmos Reason at SIGGRAPH enhances physical AI through reasoning and data curation for robotics and autonomous systems. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/maximize-robotics-performance-by-post-training-nvidia-cosmos-reason\r\n"} | Cosmos, DGX | spreadsheet | Improve Robotics Performance with Post-Training on Cosmos | xr |
| Model | 1780650582 | NVIDIA Cosmos Reason is a 7B-parameter vision language model that lets robots and AI agents reason and plan actions using knowledge, physics, and common sense. | true | {"xr":true} | General Interest | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/cosmos-reason1-7b"} | Cosmos | spreadsheet | Demo Cosmos Reason Model on NVIDIA Build | xr |
| Demo | 1780650582 | Advances in NVIDIA Cosmos enable developers to accelerate workflows for generating realistic training data at the scale required for rapid development of robot training. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=tudMMCq04SA"} | Cosmos, Isaac Sim, Omniverse | spreadsheet | Bridging the Sim-to-Real Gap for Accelerated Robot Training | xr |
| Blog | 1780650582 | Blueprints, vision language models and synthetic data generation extensions enhance productivity and improve safety across environments. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://blogs.nvidia.com/blog/physical-ai-partners-metropolis-updates-siggraph/"} | Cosmos, Metropolis | spreadsheet | NVIDIA and Partners Bring Physical AI to Cities | xr |
| Blog | 1780650582 | Open reasoning models provide faster and extended thinking to generate smarter outcomes for AI agents across customer service, cybersecurity, manufacturing, logistics and robotics. | false | {"xr":false} | General Interest | {"text" => "Learn more", "url" => "https://blogs.nvidia.com/blog/nemotron-cosmos-reasoning-enterprise-physical-ai/"} | Cosmos, Metropolis | spreadsheet | Building Smarter Agents for Enterprise and Physical AI | xr |
| Blog | 1755611407 | There’s a new leaderboard-topping NVIDIA Nemotron Nano 2 model. It’s an open model with leading accuracy and up to 6x higher throughput compared to the next… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://huggingface.co/blog/nvidia/supercharge-ai-reasoning-with-nemotron-nano-2?nvid=nv-int-tblg-513492%20"} | Nemotron, NIM | techblog | New Nemotron Nano 2 Open Reasoning Model Tops Leaderboard and Delivers 6x Higher Throughput | nim, generative_ai |
| Container | 1773566809 | NVIDIA NeMo Evaluator-compatible container with Safety Harness support | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/safety-harness"} |  | ngc | NVIDIA Safety Harness | cosmos, generative_ai, rag |
| Blog | 1755507600 | In every meeting, call, crowded room, or voice-enabled app, technology has a core question: who is speaking, and when? For decades, answering that question in… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/identify-speakers-in-meetings-calls-and-voice-apps-in-real-time-with-nvidia-streaming-sortformer/"} | NeMo, Riva | techblog | Identify Speakers in Meetings, Calls, and Voice Apps in Real-Time with NVIDIA Streaming Sortformer | riva |
| Blog | 1755669600 | Running 3D applications that take advantage of advanced rendering and simulation technologies often requires users to navigate complex installs and have access… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/deploying-your-omniverse-kit-apps-at-scale/"} | Blackwell, Omniverse, RTX GPU | techblog | Deploying Your Omniverse Kit Apps at Scale | ray_tracing, usd_resources |
| Blog | 1755162000 | Join us on Aug. 21 to see how NVIDIA NeMo Agent toolkit boosts multi-agent workflows with deep MCP integration. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://www.addevent.com/event/Rz26291177"} | NeMo | techblog | Upcoming Livestream: Building Cross-Framework Agent Ecosystems | generative_ai |
| Blog | 1755867284 | Slow data loads, memory-intensive joins, and long-running operations—these are problems every Python practitioner has faced. They waste valuable time and make… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-spot-and-fix-5-common-performance-bottlenecks-in-pandas-workflows/"} | cuDF, RAPIDS | techblog | How to Spot (and Fix) 5 Common Performance Bottlenecks in pandas Workflows | data_science |
| Blog | 1756119420 | Robotics is undergoing a revolution, moving beyond the era of specialist machines to generalist robotics. This shift moves away from single-purpose… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/introducing-nvidia-jetson-thor-the-ultimate-platform-for-physical-ai/"} | Blackwell, Blueprint, Cosmos, GR00T, Holoscan, Isaac SDK, Jetson, Metropolis | techblog | Introducing NVIDIA Jetson Thor, the Ultimate Platform for Physical AI | cosmos |
| Container | 1780416023 | TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tensorrt-llm/containers/devel"} |  | ngc | TensorRT LLM Develop | inference |
| Blog | 1756890587 | In modern engineering, the pace of innovation is closely linked to the ability to perform accelerated simulations. Computer-aided engineering (CAE) plays a… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-run-ai-powered-cae-simulations/"} | Blueprint, NeMo, NIM, Omniverse, PhysicsNeMo | techblog | How to Run AI-Powered CAE Simulations | nim, ray_tracing, usd_resources |
| Blog | 1755849600 | Open source AI models such as Cosmos, DeepSeek, Gemma, GPT-OSS, Llama, Nemotron, Phi, Qwen, and many more are the foundation of AI innovation. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-hardware-innovations-and-open-source-contributions-are-shaping-ai/"} | Blackwell, Cosmos, Dynamo, GR00T, NeMo, NVLink, PhysicsNeMo, RAPIDS, TensorRT, TensorRT-LLM | techblog | NVIDIA Hardware Innovations and Open Source Contributions Are Shaping AI | cosmos |
| Blog | 1756285200 | You’ve built a powerful AI agent and are ready to share it with your colleagues, but have one big fear: Will the agent work if 10, 100, or even 1,000… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-scale-your-langgraph-agents-in-production-from-a-single-user-to-1000-coworkers/"} | NeMo, NeMo Microservices | techblog | How to Scale Your LangGraph Agents in Production From A Single User to 1,000 Coworkers | generative_ai |
| Container | 1763077399 | Model customization for NeMo microservices | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/customizer-gpt-oss"} |  | ngc | NeMo Customizer for OpenAI gpt-oss | nemo_guardrails |
| Blog | 1757322000 | It’s easy to underestimate how many moving parts a real-world, production-grade AI system involves. Whether you’re building an agent that combines internal data… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-build-ai-systems-in-house-with-outerbounds-and-dgx-cloud-lepton/"} | DGX Cloud, H100, NIM | techblog | How to Build AI Systems In House with Outerbounds and DGX Cloud Lepton | nim, generative_ai |
| Session | 1780650582 | Machines need more than perception—they need understanding. NVIDIA Cosmos WFMs help developers predict, transfer knowledge, and reason for autonomous systems. | true | {"xr":true} | General Interest | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/siggraph25-s05/"} | Cosmos | spreadsheet | Beyond Rendering: Why Graphics is Needed For Physical AI | xr |
| Training | 1780650582 | This hands-on lab teaches practical workflows to create diverse datasets, boosting realism, speed, and variety for robotics and vision projects | true | {"xr":true} | Intermediate | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/siggraph25-s19/"} | Cosmos, Isaac Sim | spreadsheet | Synthetic Data Generation for Robot Learning Pipelines | xr |
| Blog | 1757497698 | The race to understand protein structures has never been more critical. From accelerating drug discovery to preparing for future pandemics… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerate-protein-structure-inference-over-100x-with-nvidia-rtx-pro-6000-blackwell-server-edition/"} | BioNeMo, Blackwell, NIM, RTX GPU, TensorRT | techblog | Accelerate Protein Structure Inference Over 100x with NVIDIA RTX PRO 6000 Blackwell Server Edition | nim |
| Blog | 1758122949 | The 25.08 release of RAPIDS continues to push the boundaries toward making accelerated data science more accessible and scalable with the addition of several… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-rapids-25-08-adds-new-profiler-for-cuml-updates-to-the-polars-gpu-engine-additional-algorithm-support-and-more/"} | cuDF, cuML, RAPIDS | techblog | NVIDIA RAPIDS 25.08 Adds New Profiler for cuML, Updates to the Polars GPU Engine, Additional Algorithm Support, and More | data_science |
| Blog | 1758107352 | Generating text with large language models (LLMs) often involves running into a fundamental bottleneck. GPUs offer massive compute, yet much of that power sits… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/an-introduction-to-speculative-decoding-for-reducing-latency-in-ai-inference/"} | TensorRT, TensorRT-LLM | techblog | An Introduction to Speculative Decoding for Reducing Latency in AI Inference | generative_ai |
| Blog | 1757916000 | As AI models grow larger and process longer sequences of text, efficiency becomes just as important as scale. To showcase what’s next, Alibaba released two new… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/new-open-source-qwen3-next-models-preview-hybrid-moe-architecture-delivering-improved-accuracy-and-accelerated-parallel-processing-across-nvidia-platform/"} | NIM | techblog | New Open Source Qwen3-Next Models Preview Hybrid MoE Architecture Delivering Improved Accuracy and Accelerated Parallel Processing across NVIDIA Platform  | nim |
| Blog | 1757581200 | AI-powered applications are introducing new attack surfaces that traditional security models don’t fully capture, especially as these agentic systems gain… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/modeling-attacks-on-ai-powered-apps-with-the-ai-kill-chain-framework/"} | cuVS, NIM | techblog | Modeling Attacks on AI-Powered Apps with the AI Kill Chain Framework | nim, cuvs |
| Blog | 1757496600 | AI models, inference engine backends, and distributed inference frameworks continue to evolve in architecture, complexity, and scale. With the rapid pace of… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/deploy-scalable-ai-inference-with-nvidia-nim-operator-3-0-0/"} | NeMo Microservices, NIM | techblog | Deploy Scalable AI Inference with NVIDIA NIM Operator 3.0.0 | nim |
| Blog | 1758191376 | Over hundreds of Kaggle competitions, we’ve refined a playbook that consistently lands us near the top of the leaderboard—no matter if we’re working with… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/the-kaggle-grandmasters-playbook-7-battle-tested-modeling-techniques-for-tabular-data/"} | cuDF, cuML, RAPIDS | techblog | The Kaggle Grandmasters Playbook: 7 Battle-Tested Modeling Techniques for Tabular Data | data_science |
| Container | 1780424031 | The Dynamo TensorRT-LLM runtime image is a containerized build of Dynamo + TensorRT-LLM which serves as the base runtime environment for tensorrt-llm based inference with Dynamo's distributed inference framework. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/tensorrtllm-runtime"} |  | ngc | Dynamo Tensorrt-LLM Runtime | inference |
| Container | 1762457198 | Nvidia Sample CV Event Detector Microservice for detecting events for VSS Event Reviewer workflow. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/blueprint/containers/nv-cv-event-detector"} |  | ngc | Nvidia VSS CV Event Detector | inference |
| Blog | 1758614400 | Unlike traditional LLM-based systems that are limited by their training data, retrieval-augmented generation (RAG) improves text generation by incorporating… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-a-rag-agent-with-nvidia-nemotron/"} | NeMo Retriever, Nemotron, NIM | techblog | Build a Retrieval-Augmented Generation (RAG) Agent with NVIDIA Nemotron | nim, nemo_retriever, rag |
| Blog | 1758630046 | Today, Microsoft is making Windows ML available to developers. Windows ML enables C#, C++ and Python developers to optimally run AI models locally across PC… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/deploy-ai-models-faster-with-windows-ml-on-rtx-pcs/"} | RTX GPU, TensorRT | techblog | Deploy High-Performance AI Models in Windows Applications on NVIDIA RTX AI PCs | generative_ai |
| Blog | 1758620181 | In previous posts on FP8 training, we explored the fundamentals of FP8 precision and took a deep dive into the various scaling recipes for practical large-scale… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/faster-training-throughput-in-fp8-precision-with-nvidia-nemo/"} | Blackwell, DGX, NeMo | techblog | Faster Training Throughput in FP8 Precision with NVIDIA NeMo | generative_ai |
| Collection | 1741933927 | Audio2Face-2D Microservice animates a person's portrait photo using a driving audio. This collection features containers, resources, and helm charts | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/speech_live_portrait_microservice"} |  | ngc | Audio2Face-2D Microservice | nvcomp |
| Collection | 1747069987 | NVIDIA® AR SDK enables real-time modeling and tracking of human faces from video. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_linux_ar_sdk_collection"} |  | ngc | Maxine Linux Augmented Reality SDK | nvcomp |
| Collection | 1750960579 | Maxine Augmented Reality SDK enables real-time modeling and tracking of human faces from video. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_linux_ar_sdk_collection_ga"} |  | ngc | Maxine Linux Augmented Reality SDK | nvcomp |
| Collection | 1750958191 | Maxine Augmented Reality SDK for Linux enables real-time modeling and tracking of human faces from video. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_linux_ar_sdk_collection_ea"} |  | ngc | Maxine Linux Augmented Reality SDK (EA) | nvcomp |
| Collection | 1741933917 | NVIDIA Maxine Video Effects SDK is an SDK for enhancing and applying filters to videos in real-time. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_linux_video_effects_sdk_collection"} |  | ngc | Maxine Linux Video Effects SDK | nvcomp |
| Collection | 1750960583 | NVIDIA Maxine Video Effects SDK for Linux provides video effects for enhancing and applying filters to videos in real-time. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_linux_vfx_sdk_collection_ga"} |  | ngc | Maxine Linux Video Effects SDK | nvcomp |
| Collection | 1750958198 | Maxine Video Effects SDK for Linux delivers AI-based video effects algorithms for enhancing and applying filters to videos in real-time. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_linux_vfx_sdk_collection_ea"} |  | ngc | Maxine Linux Video Effects SDK (EA) | nvcomp |
| Collection | 1756920598 | Maxine Augmented Reality SDK for Windows enables real-time modeling and tracking of human faces from video. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_windows_ar_sdk_collection_ga"} |  | ngc | Maxine Windows Augmented Reality SDK | nvcomp |
| Collection | 1750958194 | Maxine Augmented Reality SDK for Windows enables real-time modeling and tracking of human faces from video. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_windows_ar_sdk_collection"} |  | ngc | Maxine Windows Augmented Reality SDK (EA) | nvcomp |
| Collection | 1753228540 | Maxine Video Effects SDK delivers AI-based video effects algorithms for enhancing and applying filters to videos in real-time. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_windows_vfx_sdk_collection_ga"} |  | ngc | Maxine Windows Video Effects SDK | nvcomp |
| Collection | 1750958200 | Maxine Video Effects SDK delivers AI-based video effects algorithms for enhancing and applying filters to videos in real-time. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_windows_vfx_sdk_collection"} |  | ngc | Maxine Windows Video Effects SDK (EA) | nvcomp |
| Container | 1773566807 | NVIDIA NeMo Evaluator-compatible container with MTBench support. Based on FastChat available at: https://github.com/lm-sys/FastChat | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/mtbench"} |  | ngc | NVIDIA MTBench | cosmos, generative_ai, rag |
| Tutorial | 1780650376 | This course provides the fundamentals of using the Kit SDK to develop applications that can be customized and extended. | true | {"conversational_ai":true} |  | {"text" => "Learn more", "url" => "https://docs.omniverse.nvidia.com/kit/docs/kit-app-template/latest/docs/intro.html"} |  | spreadsheet | Example: Developing an Omniverse Kit-Based Application | conversational_ai |
| Video | 1780650582 | See how Audio Effects SDK improves end-to-end conversation quality for narrowband, wideband, and ultra-wideband audio using AI audio noise removal and audio super resolution. | false | {"nvcomp":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=WO4KB5VjT2E"} | Maxine | spreadsheet | Improving End-to-End Conversation Quality with NVIDIA Maxine | nvcomp |
| Video | 1780650582 | See how the future of wireless and video communications will be available in 3D on any device, without specialized software or hardware, using NVIDIA Aerial and NVIDIA Maxine-3D. | false | {"nvcomp":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=MVUQ5iJCmKs&t=6s"} | Maxine | spreadsheet | Generative AI Powered by NVIDIA Grace Hopper | nvcomp |
| Video | 1780650582 | See how the latest release of NVIDIA Maxine brings new and updated features that enhance real-time communication and elevate high-impact video editing with AI. | false | {"nvcomp":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=7tHUgPWmhzc"} | Maxine | spreadsheet | Maxine Feature Updates - Enhancing Real Time Communication | nvcomp |
| Video | 1780650582 | See how NVIDIA Maxine's new feature - Studio Voice - creates professional, clear and rich video conference sound and works with a ‌standard laptop or desktop microphone. | false | {"nvcomp":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=lF_zOvPR3S4&t=27s"} | Maxine | spreadsheet | Enhance Video Sound Quality with NVIDIA Studio Voice | nvcomp |
| NIM | 1780650582 | Deploy and scale models on your GPU infrastructure of choice with NVIDIA NIM microservices. | false | {"nvcomp":false} | Intermediate | {"text" => "Learn more", "url" => "https://build.nvidia.com/models?q=maxine"} | Maxine | spreadsheet | NVIDIA Maxine NIM Microservices | nvcomp |
| NIM | 1780650582 | See how to estimate gaze angles of a person in a video and redirect to make it frontal. | false | {"nvcomp":false} | Intermediate | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/eyecontact"} | Maxine | spreadsheet | NVIDIA Maxine Eye Contact NIM | nvcomp |
| NIM | 1780650582 | See how to create facial animations using a portrait photo and synchronize mouth movement with audio. | false | {"nvcomp":false} | Intermediate | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/audio2face-2d"} | Maxine | spreadsheet | NVIDIA Maxine Audio2Face-2D NIM | nvcomp |
| NIM | 1780650582 | Enhance speech by correcting common audio degradations to create studio quality speech output. | false | {"nvcomp":false} | Intermediate | {"text" => "Learn more", "url" => "https://build.nvidia.com/nvidia/studiovoice"} | Maxine | spreadsheet | NVIDIA Maxine Studio Voice NIM | nvcomp |
| Blog | 1759212000 | DOOM: The Dark Ages pushes real-time graphics to new limits by integrating RTX neural rendering and path tracing, setting a new standard for how modern games… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-id-software-used-neural-rendering-and-path-tracing-in-doom-the-dark-ages/"} | DLSS, RTX GPU, RTX Kit | techblog | How id Software Used Neural Rendering and Path Tracing in DOOM: The Dark Ages | dlss_practitioner, rtx_kit_practitioner, ray_tracing |
| Container | 1773566547 | NVIDIA NeMo Evaluator-compatible container with Garak support. Based on garak available at: https://github.com/NVIDIA/garak | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/garak"} |  | ngc | NVIDIA Garak | cosmos, generative_ai, rag |
| Blog | 1758792600 | In previous posts on AI in manufacturing and operations, we covered the unique data challenges in the supply chain and how smart feature engineering can… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-gpu-accelerate-model-training-with-cuda-x-data-science/"} | cuML, RAPIDS | techblog | How to GPU-Accelerate Model Training with CUDA-X Data Science | data_science |
| Blog | 1758619800 | Community detection algorithms play an important role in understanding data by identifying hidden groups of related entities in networks. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-accelerate-community-detection-in-python-using-gpu-powered-leiden/"} | cuGraph, RAPIDS | techblog | How to Accelerate Community Detection in Python Using GPU-Powered Leiden | data_science |
| Blog | 1759132800 | The increasing demand for robotics is driving the need for physics-accurate simulation at an unprecedented scale. Universal Scene Description (OpenUSD) is key… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/3-easy-ways-to-supercharge-your-robotics-development-using-openusd/"} | Isaac Sim, Omniverse | techblog | 3 Easy Ways to Supercharge Your Robotics Development Using OpenUSD | ray_tracing, usd_resources |
| Container | 1773681851 | NVIDIA NeMo Evaluator-compatible container with VLMEvalKit support. Based on VLMEvalKit available at: https://github.com/open-compass/VLMEvalKit | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/vlmevalkit"} |  | ngc | NVIDIA VLMEvalKit | cosmos, generative_ai, rag |
| Blog | 1759480140 | In an earlier blog post, we introduced NVIDIA NV-Tesseract, a family of models designed to tackle diverse time-series tasks—such as anomaly detection… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/smarter-anomaly-detection-in-semiconductor-manufacturing-with-nvidia-nv-tesseract-and-nvidia-nim/"} | NIM | techblog | Smarter Anomaly Detection in Semiconductor Manufacturing with NVIDIA NV-Tesseract and NVIDIA NIM | nim |
| Blog | 1759726800 | As workloads scale and demand for faster data processing grows, GPU-accelerated databases and query engines have been shown to deliver significant price… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-large-scale-data-analytics-with-gpu-native-velox-and-nvidia-cudf/"} | cuDF | techblog | Accelerating Large-Scale Data Analytics with GPU-Native Velox and NVIDIA cuDF | data_science |
| Blog | 1715595313 | Neural machine translation (NMT) is an automatic task of translating a sequence of words from one language to another. In recent years… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/customizing-neural-machine-translation-models-with-nvidia-nemo-part-1/"} | NeMo | techblog | Customizing Neural Machine Translation Models with NVIDIA NeMo, Part 1 | conversational_ai |
| Blog | 1715594400 | At the recent World Governments Summit in Dubai, NVIDIA CEO Jensen Huang emphasized the importance of sovereign AI, which refers to a nation’s capability to… | false | {} | Beginner, Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/regional-llms-sea-lion-and-seallm-serve-languages-and-cultures-of-southeast-asia/"} | AI Foundation Models, NIM | techblog | Regional LLMs SEA-LION and SeaLLM Serve Languages and Cultures of Southeast Asia | conversational_ai |
| Blog | 1713445387 | NVIDIA NeMo, an end-to-end platform for the development of multimodal generative AI models at scale anywhere—on any cloud and on-premises—released the Parakeet… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/pushing-the-boundaries-of-speech-recognition-with-nemo-parakeet-asr-models/"} | NeMo | techblog | Pushing the Boundaries of Speech Recognition with NVIDIA NeMo Parakeet ASR Models | conversational_ai |
| Container | 1765925744 | Guardrails sidecar for GKE Gateway Traffic Extensions | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/guardrails-callout"} |  | ngc | NeMo Guardrails Callout | cosmos, nemo_evaluator, rag |
| Blog | 1760531960 | Build the next generation of intelligent, autonomous applications. This isn’t just a hackathon—it’s your chance to unleash the power of agentic AI and show the… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://nvidia-aws.devpost.com/?utm_source=devpost&utm_medium=linkedin&utm_campaign=agenticaiunleashed25"} | NeMo, Nemotron, NIM | techblog | Agentic AI Unleashed: Join the AWS & NVIDIA Hackathon | nim |
| Collection | 1760646221 | A collection of easy to use, highly optimized Deep Learning Models for Speech Recognition. The Parakeet collection provides Data Scientists and Software Engineers with recipes to train, fine-tune, and deploy state-of-the-art ASR models. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/collections/parakeet-tdt-0.6b-v2"} |  | ngc | English Parakeet 0.6b-v2 TDT collection | inference |
| Collection | 1760646216 | A collection of easy to use, highly optimized Deep Learning Models for Speech Recognition. The Parakeet collection provides Data Scientists and Software Engineers with recipes to train, fine-tune, and deploy state-of-the-art ASR models. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/collections/parakeet-ctc-0.6b-zh-cn"} |  | ngc | Mandarin-English Parakeet 0.6b CTC collection | inference |
| Collection | 1760646212 | A collection of easy to use, highly optimized Deep Learning Models for Speech Recognition. The Parakeet collection provides Data Scientists and Software Engineers with recipes to train, fine-tune, and deploy state-of-the-art ASR models. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/collections/parakeet-ctc-0.6b-es"} |  | ngc | Spanish Parakeet 0.6b CTC collection | inference |
| Collection | 1760646218 | A collection of easy to use, highly optimized Deep Learning Models for Speech Recognition. The Parakeet collection provides Data Scientists and Software Engineers with recipes to train, fine-tune, and deploy state-of-the-art ASR models. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/collections/parakeet-ctc-0.6b-zh-tw"} |  | ngc | Taiwanese Mandarin Parakeet 0.6b CTC collection | inference |
| Collection | 1760646214 | A collection of easy to use, highly optimized Deep Learning Models for Speech Recognition. The Parakeet collection provides Data Scientists and Software Engineers with recipes to train, fine-tune, and deploy state-of-the-art ASR models. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/collections/parakeet-ctc-0.6b-vi"} |  | ngc | Vietnamese Parakeet 0.6b CTC collection | inference |
| Blog | 1760086800 | Logs are the lifeblood of modern systems. But as applications scale, logs often grow into endless walls of text—noisy, repetitive, and overwhelming. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-a-log-analysis-multi-agent-self-corrective-rag-system-with-nvidia-nemotron/"} | NeMo Retriever, Nemotron, NIM | techblog | Build a Log Analysis Multi-Agent Self-Corrective RAG System with NVIDIA Nemotron | nim, nemo_retriever |
| Blog | 1759741200 | Compression is a common technique to reduce storage costs and accelerate input/output transfer times across databases, data-center communications… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/speeding-up-data-decompression-with-nvcomp-and-the-nvidia-blackwell-decompression-engine/"} | Blackwell, nvComp | techblog | Speeding Up Data Decompression with nvCOMP and the NVIDIA Blackwell Decompression Engine | nvcomp |
| Container | 1773566542 | NVIDIA NeMo Evaluator-compatible container with hle support. Based on the HLE available at: https://github.com/centerforaisafety/hle | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/hle"} |  | ngc | NVIDIA hle | cosmos, generative_ai, rag |
| Blog | 1710842400 | At GDC 2024, NVIDIA announced that leading AI application developers such as Inworld AI are using NVIDIA digital human technologies to accelerate the deployment… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/generative-ai-for-digital-humans-and-new-ai-powered-nvidia-rtx-lighting/"} | Avatar Cloud Engine (ACE), Audio2Face, DGX Cloud, NeMo, NIM, RTX GPU, RTX Direct Illumination, Streamline | techblog | Generative AI for Digital Human Technologies and New AI-powered NVIDIA RTX Lighting | conversational_ai |
| Blog | 1700204400 | Stacking transformer layers to create large models results in better accuracies, few-shot learning capabilities, and even near-human emergent abilities on a… | false | {} | Intermediate, Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/mastering-llm-techniques-inference-optimization/"} | TensorRT | techblog | Mastering LLM Techniques: Inference Optimization | inference |
| Blog | 1761235572 | Building realistic 3D environments for robotics simulation can be a labor-intensive process. Now, with NVIDIA Omniverse NuRec, you can complete the entire… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/reconstruct-a-scene-in-nvidia-isaac-sim-using-only-a-smartphone/"} | Isaac Sim, Omniverse | techblog | Reconstruct a Scene in NVIDIA Isaac Sim Using Only a Smartphone | ray_tracing, usd_resources |
| Container | 1773566670 | NVIDIA NeMo Evaluator-compatible container with MMATH support. Based on the MMATH available at: https://github.com/RUCAIBox/MMATH | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/mmath"} |  | ngc | NVIDIA MMATH | cosmos, generative_ai, rag |
| Container | 1773566775 | NVIDIA NeMo Evaluator-compatible container with ProfBench support | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/profbench"} |  | ngc | NVIDIA ProfBench | cosmos, generative_ai, rag |
| Container | 1773566850 | NVIDIA NeMo Evaluator-compatible container with SciCode support. Based on the SciCode available at: https://github.com/scicode-bench/SciCode | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/scicode"} |  | ngc | NVIDIA SciCode | cosmos, generative_ai, rag |
| Container | 1780435634 | vLLM is a fast and easy-to-use library for LLM inference and serving. The NVIDIA vLLM NGC Container is optimized for GPU acceleration, and contains a validated set of libraries that enable and optimize GPU performance. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/vllm"} |  | ngc | vLLM | inference |
| Blog | 1761296400 | How does the NFL schedule all its regular-season games while avoiding stadium conflicts with Beyoncé concerts? How can doctors use a single donated kidney to… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/solve-linear-programs-using-the-gpu-accelerated-barrier-method-in-nvidia-cuopt/"} | cuOpt, H200 | techblog | Solve Linear Programs Using the GPU-Accelerated Barrier Method in NVIDIA cuOpt | data_science |
| Blog | 1780650582 | This blog covers the features, performance, and tutorials on using the new Nemotron models for building multimodal agents, RAG pipelines, and AI with content safety. | true | {"dlss_practitioner":false,"rag":true} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/develop-specialized-ai-agents-with-new-nvidia-nemotron-vision-rag-and-guardrail-models/"} | NeMo, NeMo Retriever, NeMo Customizer, NeMo Guardrails, Blueprint, NeMo Evaluator, Nemotron, NIM | spreadsheet | Develop Specialized AI Agents With NVIDIA Nemotron Models | rag, dlss_practitioner |
| Video | 1780650582 | This hands-on tutorial guides you through creating an Agentic Retrieval-Augmented Generation (RAG) pipeline using NVIDIA's open Nemotron models for embedding and reranking. | false | {"dlss_practitioner":false,"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://youtu.be/LOhIdijVno0"} | NeMo, NeMo Retriever | spreadsheet | Build a Custom AI Agent With NVIDIA Nemotron RAG Models | rag, dlss_practitioner |
| Guide | 1780650582 | Read the Cosmos Cookbook for an open-source guide offering workflows and examples to deploy and post-train NVIDIA Cosmos world foundation models for real applications. | true | {"xr":true} | Intermediate | {"text" => "Learn more", "url" => "https://nvidia-cosmos.github.io/cosmos-cookbook/"} | Cosmos, Isaac Sim | spreadsheet | Cosmos Cookbook | xr |
| Video | 1780650582 | The Llama 3.1 Nemotron Safety Guard 8b v3 model tackles content moderation challenges by introducing a multilingual moderation system. | false | {"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://youtu.be/uuhEAZjnePk"} | NeMo, NeMo Guardrails | spreadsheet | Culturally-Aware Guardrails With Nemotron Safety Guard  | rag |
| Video | 1780650582 | This video presents a unified approach to multimodal and document intelligence using NVIDIA Nemotron models. | false | {"rag":false} | Beginner | {"text" => "Learn more", "url" => "https://youtu.be/bQ7prf_RDMw"} | NIM | spreadsheet | Build Multimodal Agents for Document and Video Intelligence | rag |
| Model | 1752784739 | Riva NeMo-MagpieTTS Multilingual IPA multispeaker model with Emotions | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/speechsynthesis_multilingual_magpietts_ipa"} | Riva | ngc | RIVA Magpie-TTS Multilingual | riva, conversational_ai |
| Container | 1773566601 | NVIDIA NeMo Evaluator-compatible container with LiveCodeBench support. Based on the LiveCodeBench available at: https://github.com/LiveCodeBench/LiveCodeBench | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/livecodebench"} |  | ngc | NVIDIA LiveCodeBench | cosmos, generative_ai, rag |
| Container | 1773566571 | NVIDIA NeMo Evaluator-compatible container with IFBench support. Based on the IFBench available at: https://github.com/allenai/IFBench | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/ifbench"} |  | ngc | NVIDIA IFBench | cosmos, generative_ai, rag |
| Container | 1765925768 | Shared components of the NeMo microservices | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/nmp-core"} |  | ngc | NeMo Core | cosmos, rag |
| Container | 1773566598 | NVIDIA NeMo Evaluator-compatible container with CRFM Helm support. Based on the Stanford CRFM HELM available at: https://github.com/stanford-crfm/helm | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/helm"} |  | ngc | NVIDIA helm | cosmos, generative_ai, rag |
| Container | 1764795416 | NVIDIA NeMo Evaluator-compatible container with NeMo Skills support: https://github.com/NVIDIA/NeMo-Skills | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/nemo_skills"} |  | ngc | NVIDIA NeMo Skills | cosmos, generative_ai, rag |
| Container | 1773681698 | NVIDIA NeMo Evaluator-compatible container with compute-eval support. Based on compute-eval available at: https://github.com/NVIDIA/compute-eval | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/compute-eval"} |  | ngc | NVIDIA compute-eval | cosmos, generative_ai, rag |
| Container | 1773566465 | NVIDIA NeMo Evaluator-compatible container with GenAI-Perf support. See https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/perf_analyzer/genai-perf/README.html | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/genai-perf"} |  | ngc | NVIDIA GenAI-Perf | cosmos, generative_ai, rag |
| Blog | 1762764270 | Large language models can solve challenging math problems. However, making them work efficiently at scale requires more than a strong checkpoint. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-achieve-4x-faster-inference-for-math-problem-solving/"} | NeMo, TensorRT-LLM | techblog | How to Achieve 4x Faster Inference for Math Problem Solving | inference |
| Blog | 1762508692 | Data scientists spend a lot of time cleaning and preparing large, unstructured datasets before analysis can begin, often requiring strong programming and… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-an-interactive-ai-agent-for-lightning-fast-machine-learning-tasks/"} | NeMo, NIM | techblog | Building an Interactive AI Agent for Lightning-Fast Machine Learning Tasks | nim |
| Blog | 1761296400 | Today’s demanding AI developer workloads often need more memory than desktop systems provide or require access to software that laptops or PCs lack. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-nvidia-dgx-sparks-performance-enables-intensive-ai-tasks/"} | Blackwell, Nemotron, NIM | techblog | How NVIDIA DGX Spark's Performance Enables Intensive AI Tasks | nim |
| Blog | 1760954400 | Modern organizations generate a massive volume of operational data through ticketing systems, incident reports, service requests, support escalations, and more. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-an-ai-agent-to-analyze-it-tickets-with-nvidia-nemotron/"} | Nemotron, NIM | techblog | Build an AI Agent to Analyze IT Tickets with NVIDIA Nemotron | nim |
| Blog | 1762432898 | As companies collect more unstructured data and increasingly use large language models (LLMs), they need faster and more scalable systems. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/enhancing-gpu-accelerated-vector-search-in-faiss-with-nvidia-cuvs/"} | cuVS | techblog | Enhancing GPU-Accelerated Vector Search in Faiss with NVIDIA cuVS | rag, cuvs |
| Blog | 1761040800 | To help create real-time, dynamic NPC game characters, NVIDIA ACE now supports the open source Qwen3-8B small language model (SLM) for on-device deployment. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-ace-adds-open-source-qwen3-slm-for-on-device-deployment-in-pc-games/"} | ACE, DLSS, RTX GPU, RTX Kit | techblog | NVIDIA ACE Adds Open Source Qwen3 SLM for On-Device Deployment in PC Games | dlss_practitioner, rtx_kit_practitioner, ray_tracing |
| Blog | 1761651000 | Autonomous vehicle (AV) stacks are evolving from a hierarchy of discrete building blocks to end-to-end architectures built on foundation models. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-av-simulation-with-neural-reconstruction-and-world-foundation-models-2/"} | Cosmos, DRIVE, Omniverse | techblog | Accelerating AV Simulation with Neural Reconstruction and World Foundation Models | ray_tracing, usd_resources, cosmos |
| Blog | 1762784576 | On November 18, learn how to fine-tune the NVIDIA Cosmos Reason VLM with your own data to create visual AI agents. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://www.addevent.com/event/kffjqsqb67nq"} | Cosmos, Metropolis | techblog | Upcoming Livestream: Build Visual AI Agents with NVIDIA Cosmos Reason and Metropolis | cosmos |
| Blog | 1748434338 | The collaboration between Iguazio (acquired by McKinsey) and NVIDIA empowers organizations to build production-grade AI solutions that are not only high… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/spotlight-build-scalable-and-observable-ai-ready-for-production-with-iguazios-mlrun-and-nvidia-nim/"} | NeMo, NeMo Microservices | techblog | Spotlight: Build Scalable and Observable AI Ready for Production with Iguazio's MLRun and NVIDIA NIM | generative_ai |
| Session | 1780650582 | In this introductory, hands-on course, explore NVIDIA Cosmos, a platform of generative WFMs, advanced tokenizers, guardrails, and an accelerated data processing and curation pipeline. | true | {"xr":true} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtcdc25-dct51187/"} | Cosmos | spreadsheet | An Introduction to NVIDIA Cosmos for Physical AI | xr |
| Demo | 1780650582 | This blueprint helps overcome the data challenge for training robot policy models like GR00T N - and enables generalist robots reason, plan, and execute tasks. | true | {"xr":true} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=Coy2TyBcT4g"} | Cosmos, Isaac Sim | spreadsheet | Synthetic Data From Neural Simulation for Robot Training | xr |
| Blog | 1762250400 | ​​For decades, one of biology’s deepest mysteries was how a string of amino acids folds itself into the intricate architecture of life. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-predict-biomolecular-structures-using-the-openfold3-nim/"} | FLARE, NIM, TensorRT | techblog | How to Predict Biomolecular Structures Using the OpenFold3 NIM | nim |
| Blog | 1763034928 | For the past 25 years, real-time rendering has been driven by continuous hardware improvements. The goal has always been to create the highest fidelity image… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-get-started-with-neural-shading-for-your-game-or-application/"} | CUDA, RTX Kit | techblog | How to Get Started with Neural Shading for Your Game or Application | rtx_kit_practitioner, ray_tracing |
| Collection | 1763956919 | Acoustic Echo Cancellation Effect for Audio Effects SDK | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_afx_aec"} |  | ngc | Acoustic Echo Cancellation Effect | nvcomp |
| Collection | 1763595602 | Collection of artifacts related to the Maxine Video Effects SDK Artifact Reduction Effect | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/nvvfxartifactreduction"} |  | ngc | Artifact Reduction | nvcomp |
| Collection | 1763956936 | Audio Super-Resolution Effect for Audio Effects SDK | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_afx_superres"} |  | ngc | Audio Super-Resolution Effect | nvcomp |
| Collection | 1769453540 | Collection of artifacts related to the Maxine AR SDK Audio2Face 2D Effect | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/nvarspeechliveportrait"} |  | ngc | Audio2Face 2D | nvcomp |
| Collection | 1763956922 | The removes common background noise while preserving the speaker’s natural voice. Also referred to as Background Noise Removal/Suppression/Denoiser | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_afx_denoiser"} |  | ngc | Background Noise Removal | nvcomp |
| Collection | 1763595579 | Collection of artifacts related to the Maxine AR SDK Face Mesh Effect | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/nvarface3dreconstruction"} |  | ngc | Face Mesh | nvcomp |
| Collection | 1763595585 | Collection of artifacts related to the Maxine AR SDK Frame Selection Effect | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/nvarframeselection"} |  | ngc | Frame Selection | nvcomp |
| Collection | 1763956927 | Noise Removal and Room Echo Removal/Room Echo Cancellation + Background Noise Suppression Effect for Audio Effects SDK | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_afx_dereverb_denoiser"} |  | ngc | Noise Removal + Room Echo Removal Effect | nvcomp |
| Collection | 1763956925 | Room Echo Removal/Dereverb/Room Echo Cancellation Effect for Audio Effects SDK | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_afx_dereverb"} |  | ngc | Room Echo Removal | nvcomp |
| Container | 1765925888 | Auditing models | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/auditor"} |  | ngc | NeMo Auditor | cosmos, rag |
| Blog | 1763984952 | As generative AI advances, organizations need AI agents that are accurate, reliable, and informed by data specific to their business. The NVIDIA AI-Q Research… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-and-run-secure-data-driven-ai-agents/"} | Blueprint, NIM | techblog | Build and Run Secure, Data-Driven AI Agents  | nim |
| Container | 1779475331 | Multi-LLM NIM Production Branch October 2025 (PB25h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.  This release includes Government Ready images for regulated environments | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/llm-nim-pb25h2"} |  | ngc | Multi-LLM PB October 2025 (PB 25h2) | inference, nim, cybersecurity, cosmos, rag |
| Container | 1779816530 | TensorRT Production Branch October 2025 (PB 25h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.  This release includes Government Ready images for regulated environments. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tensorrt-pb25h2"} |  | ngc | TensorRT PB October 2025 (PB25h2) | inference |
| Blog | 1763467200 | At Microsoft Ignite 2025, the vision for an AI-ready enterprise database becomes a reality with the announcement of Microsoft SQL Server 2025… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-scalable-ai-on-enterprise-data-with-nvidia-nemotron-rag-and-microsoft-sql-server-2025/"} | Nemotron, NIM | techblog | Building Scalable AI on Enterprise Data with NVIDIA Nemotron RAG and Microsoft SQL Server 2025 | nim |
| Blog | 1763456400 | Almost all manufactured products are enabled by chemistry and materials science. However, new discoveries are costly and time-consuming and often hindered by… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/faster-chemistry-and-materials-discovery-with-ai-powered-simulations-using-nvidia-alchemi/"} | NIM | techblog | Faster Chemistry and Materials Discovery with AI-Powered Simulations Using NVIDIA ALCHEMI | nim |
| Blog | 1763389800 | AI is reshaping scientific research and innovation. Scientists can leverage AI to generate, summarize, combine, and analyze scientific data. AI models can find… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/pioneering-ai-co-scientists-for-fusion-research-and-cancer-treatment/"} | BioNeMo, NeMo, NeMo Curator, Nemotron | techblog | Pioneering AI Co-Scientists for Fusion Research and Cancer Treatment | nemo_curator |
| Collection | 1764871718 | The NVIDIA Intelligent Camera Tracker (ICT) system analyzes a primary video stream to identify and monitor each individual, subsequently generating a distinct, personalized camera output feed for every detected person on Holoscan for Media Platform. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/nvidia-ict-collection"} |  | ngc | NVIDIA Intelligent Camera Tracker | nvcomp |
| Blog | 1764579600 | Building powerful physical AI models requires diverse, controllable, and physically-grounded data at scale. Collecting large-scale, diverse real-world datasets… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-scale-data-generation-for-physical-ai-with-the-nvidia-cosmos-cookbook/"} | Cosmos, Isaac Sim | techblog | How to Scale Data Generation for Physical AI with the NVIDIA Cosmos Cookbook | cosmos |
| Blog | 1764670202 | The new Mistral 3 open model family delivers industry-leading accuracy, efficiency, and customization capabilities for developers and enterprises. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-accelerated-mistral-3-open-models-deliver-efficiency-accuracy-at-any-scale/"} | GB200, H200, NIM, TensorRT-LLM | techblog | NVIDIA-Accelerated Mistral 3 Open Models Deliver Efficiency, Accuracy at Any Scale  | nim |
| Blog | 1764754200 | Building truly photorealistic 3D environments for simulation is challenging. Even with advanced neural reconstruction methods such as 3D Gaussian Splatting… | false | {} | Beginner, Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-enhance-3d-gaussian-reconstruction-quality-for-simulation/"} | Omniverse | techblog | How to Enhance 3D Gaussian Reconstruction Quality for Simulation | ray_tracing, usd_resources |
| Blog | 1764858056 | NVIDIA CUDA 13.1 introduces the largest and most comprehensive update to the CUDA platform since it was invented two decades ago. In this release… | false | {} | Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-cuda-13-1-powers-next-gen-gpu-programming-with-nvidia-cuda-tile-and-performance-gains/"} | cuBLAS, CUDA, cuDF, cuFFT, cuSPARSE, NCCL, Nsight Tools - Compute | techblog | NVIDIA CUDA 13.1 Powers Next-Gen GPU Programming with NVIDIA CUDA Tile and Performance Gains | data_science |
| Blog | 1765274400 | As AI models get larger and architectures more complex, researchers and engineers are continuously finding new techniques to optimize the performance and… | false | {} | General Interest, Beginner, Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/top-5-ai-model-optimization-techniques-for-faster-smarter-inference/"} | TensorRT | techblog | Top 5 AI Model Optimization Techniques for Faster, Smarter Inference | inference |
| Blog | 1765270800 | AI-native 6G networks will serve billions of intelligent devices, agents, and machines. As the industry moves into new spectrums like FR3 (7–24 GHz)… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/improve-ai-native-6g-design-with-the-nvidia-aerial-omniverse-digital-twin/"} | Aerial, Omniverse | techblog | Improve AI-Native 6G Design with the NVIDIA Aerial Omniverse Digital Twin | ray_tracing, usd_resources |
| Blog | 1765544400 | Today’s best AI agents rely on retrieval-augmented generation (RAG) to enable more accurate results. A RAG system facilitates the use of a knowledge base to… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/enabling-horizontal-autoscaling-of-enterprise-rag-components-on-kubernetes/"} | Blueprint, cuVS, NIM | techblog | Enabling Horizontal Autoscaling of Enterprise RAG Components on Kubernetes | nim, rag, cuvs |
| Blog | 1765528439 | Validating AI systems requires benchmarks—datasets and evaluation workflows that mimic real-world conditions—to measure accuracy, reliability… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-build-privacy-preserving-evaluation-benchmarks-with-synthetic-data/"} | NeMo, NeMo Customizer, NeMo Evaluator, Nemotron, NIM | techblog | How to Build Privacy-Preserving Evaluation Benchmarks with Synthetic Data | nim, nemo_customizer, nemo_evaluator |
| Blog | 1765790311 | Sirius, an open-source GPU native SQL engine, achieved a new performance record on Clickbench—a widely used analytics benchmark. Developed by University of… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-gpu-accelerated-sirius-achieves-record-setting-clickbench-record/"} | cuDF | techblog | NVIDIA CUDA-X Powers the New Sirius GPU Engine for DuckDB, Setting ClickBench Records | data_science |
| Container | 1765925873 | Model customization for NeMo microservices | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/customizer-rl"} |  | ngc | NeMo Customizer RL Training Container | nemo_guardrails |
| Container | 1765925732 | Model customization for NeMo microservices | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/customizer-automodel"} |  | ngc | NeMo Customizer for NeMo Automodel Trainiing | nemo_guardrails |
| Container | 1779482910 | NVIDIA RAPIDS Production Branch October 2025 (PB 25h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/rapids-pb25h2"} |  | ngc | NVIDIA RAPIDS PB October 2025 (PB 25H2) | morpheus |
| Blog | 1765958400 | The development of 5G and 6G requires high-fidelity radio channel modeling, but the ecosystem is highly fragmented. Link-level simulators… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/simulate-an-accurate-radio-environment-using-nvidia-aerial-omniverse-digital-twin/"} | Aerial, Omniverse | techblog | Simulate an Accurate Radio Environment Using NVIDIA Aerial Omniverse Digital Twin | ray_tracing, usd_resources |
| Collection | 1767896729 | NVIDIA Synthetic Video Detector is an AI-powered micro-service for detecting AI‑generated (synthetic) videos. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/synthetic-video-detector"} |  | ngc | NVIDIA Synthetic Video Detector | nvcomp |
| Collection | 1741933677 | The Vulnerability Analysis for Container Security is a NIM Agent Blueprint that dramatically accelerates vulnerability detection and mitigation with generative AI and the Morpheus cybersecurity SDK.  | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/collections/vulnerability_analysis"} |  | ngc | NIM Agent Blueprint for Vulnerability Analysis | cybersecurity, cuvs, morpheus |
| Blog | 1748341860 | In the previous post, Profiling LLM Training Workflows on NVIDIA Grace Hopper, we explored the importance of profiling large language model (LLM) training… | false | {} | Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/advanced-optimization-strategies-for-llm-training-on-nvidia-grace-hopper/"} | Grace CPU, Hopper, NeMo | techblog | Advanced Optimization Strategies for LLM Training on NVIDIA Grace Hopper | generative_ai |
| Blog | 1748341800 | The rapid advancements in AI have resulted in an era of exponential growth in model sizes, particularly in the domain of large language models (LLMs). | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/profiling-llm-training-workflows-on-nvidia-grace-hopper/"} | Grace CPU, Hopper, NeMo | techblog | Profiling LLM Training Workflows on NVIDIA Grace Hopper | generative_ai |
| Blog | 1767621966 | Building an agent is more than just “call an API”—it requires stitching together retrieval, speech, safety, and reasoning components so they behave like one… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-build-a-voice-agent-with-rag-and-safety-guardrails/"} | NeMo Retriever, Nemotron | techblog | How to Build a Voice Agent with RAG and Safety Guardrails | nemo_retriever, rag |
| Model | 1767746943 | NVSaliENC uses deep learning-based saliency maps to optimize perceptual video quality in real time, prioritizing visually important regions for efficient, bandwidth-saving compression with NVENC integration. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/multimedia/models/nvsalienc"} |  | ngc | NVSaliENC | inference |
| Blog | 1743592488 | The compute demands for large language model (LLM) inference are growing rapidly, fueled by the combination of growing model sizes… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-blackwell-delivers-massive-performance-leaps-in-mlperf-inference-v5-0/"} | Blackwell, DGX, GB200, H100, Hopper, NVLink, TensorRT, TensorRT-LLM | techblog | NVIDIA Blackwell Delivers Massive Performance Leaps in MLPerf Inference v5.0 | inference |
| Blog | 1767864529 | Large language models (LLMs) and multimodal reasoning systems are rapidly expanding beyond the data center. Automotive and robotics developers increasingly want… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-llm-and-vlm-inference-for-automotive-and-robotics-with-nvidia-tensorrt-edge-llm/"} | DRIVE, JetPack, Jetson, TensorRT-LLM | techblog | Accelerating LLM and VLM Inference for Automotive and Robotics with NVIDIA TensorRT Edge-LLM | inference |
| Blog | 1765890000 | For machine learning engineers deploying LLMs at scale, the equation is familiar and unforgiving: as context length increases… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-long-context-inference-with-skip-softmax-in-nvidia-tensorrt-llm/"} | Blackwell, GB200, Hopper, TensorRT-LLM | techblog | Accelerating Long-Context Inference with Skip Softmax in NVIDIA TensorRT LLM | inference |
| Blog | 1767173400 | NVIDIA developments in generative AI, large language models, high-performance computing are transforming AI solutions and sparking reader interest. | false | {} | General Interest, Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/ai-factories-physical-ai-and-advances-in-models-agents-and-infrastructure-that-shaped-2025/"} | General, Grace CPU, Hopper, NIM, TensorRT-LLM | techblog | AI Factories, Physical AI, and Advances in Models, Agents, and Infrastructure That Shaped 2025 | nim |
| Blog | 1766134800 | Machine learning interatomic potentials (MLIPs) are transforming the landscape of computational chemistry and materials science. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-ai-powered-chemistry-and-materials-science-simulations-with-nvidia-alchemi-toolkit-ops/"} | NIM | techblog | Accelerating AI-Powered Chemistry and Materials Science Simulations with NVIDIA ALCHEMI Toolkit-Ops | nim |
| Blog | 1765969200 | Data is the fuel of modern business, but relying on older CPU-based Apache Spark pipelines introduces a heavy toll. They’re inherently slow… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/migrate-apache-spark-workloads-to-gpus-at-scale-on-amazon-emr-with-project-aether/"} | RAPIDS | techblog | Migrate Apache Spark Workloads to GPUs at Scale on Amazon EMR with Project Aether | data_science |
| Blog | 1765791000 | Starting with the 25.10 release, pip-installable cuML wheels can now be downloaded directly from PyPI. No more complex installation steps or managing Conda… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/reducing-cuda-binary-size-to-distribute-cuml-on-pypi/"} | CUDA, cuML, cuVS, RAPIDS | techblog | Reducing CUDA Binary Size to Distribute cuML on PyPI | data_science, cuvs |
| Blog | 1765962000 | Building realistic 3D environments for robotics simulation has traditionally been a labor-intensive process, often requiring weeks of manual modeling and setup. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/simulate-robotic-environments-faster-with-nvidia-isaac-sim-and-world-labs-marble/"} | Isaac Sim, Omniverse | techblog | Simulate Robotic Environments Faster with NVIDIA Isaac Sim and World Labs Marble | ray_tracing, usd_resources |
| Blog | 1767865133 | To make humanoid robots useful, they need cognition and loco-manipulation that span perception, planning, and whole-body control in dynamic environments. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-generalist-humanoid-capabilities-with-nvidia-isaac-gr00t-n1-6-using-a-sim-to-real-workflow/"} | Cosmos, GR00T, Isaac Lab | techblog | Building Generalist Humanoid Capabilities with NVIDIA Isaac GR00T N1.6 Using a Sim-to-Real Workflow  | cosmos |
| Model | 1680637316 | English Citrinet-256 ASR model trained on ASR set 2.0, no-weight-decay | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/models/speechtotext_en_us_citrinet256"} |  | ngc | RIVA Citrinet 256 ASR English | riva, conversational_ai |
| Blog | 1768307564 | NVIDIA cuOpt is a GPU-accelerated optimization engine designed to deliver fast, high-quality solutions for large, complex decision-making problems. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/learn-how-nvidia-cuopt-accelerates-mixed-integer-optimization-using-primal-heuristics/"} | cuOpt | techblog | Learn How NVIDIA cuOpt Accelerates Mixed Integer Optimization using Primal Heuristics | data_science |
| Blog | 1768370400 | NVIDIA DLSS 4 with Multi Frame Generation has become the fastest-adopted NVIDIA gaming technology ever. Over 250 games and apps use it to make real-time path… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-dlss-4-5-delivers-super-resolution-upgrades-and-new-dynamic-multi-frame-generation/"} | DLSS, RTX GPU, RTX Kit | techblog | NVIDIA DLSS 4.5 Delivers Super Resolution Upgrades and New Dynamic Multi Frame Generation | dlss_practitioner, rtx_kit_practitioner, ray_tracing |
| Model | 1752784762 | Sortformer based speaker diarization model | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/sortformer_diarizer"} | Riva | ngc | Sortformer Speaker Diarization | riva, conversational_ai |
| Blog | 1769080867 | In 2025, NVIDIA partnered with Black Forest Labs (BFL) to optimize the FLUX.1 text-to-image model series, unlocking FP4 image generation performance on NVIDIA… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/scaling-nvfp4-inference-for-flux-2-on-nvidia-blackwell-data-center-gpus/"} | Blackwell, DGX, GB200, H200, TensorRT-LLM | techblog | Scaling NVFP4 Inference for FLUX.2 on NVIDIA Blackwell Data Center GPUs | inference |
| Blog | 1767938400 | Warehouses have never been more automated, more data-rich, or more operationally demanding than they are now—yet they still rely on systems that can’t keep up. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/multi-agent-warehouse-ai-command-layer-enables-operational-excellence-and-supply-chain-intelligence/"} | AI Enterprise, Blueprint, cuML, cuVS, NeMo, NIM | techblog | Multi-Agent Warehouse AI Command Layer Enables Operational Excellence and Supply Chain Intelligence | nim, data_science, rag, cuvs |
| Blog | 1767938400 | E-commerce catalogs often contain sparse product data, generic images, a basic title, and short description. This limits discoverability, engagement… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-an-ai-catalog-system-that-delivers-localized-interactive-product-experiences/"} | Blueprint, Nemotron, NIM | techblog | Build an AI Catalog System That Delivers Localized, Interactive Product Experiences | nim |
| Blog | 1747824066 | The introduction of the llm-d community at Red Hat Summit 2025 marks a significant step forward in accelerating generative AI inference innovation for the open… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-dynamo-accelerates-llm-d-community-initiatives-for-advancing-large-scale-distributed-inference/"} | Dynamo, NIM | techblog | NVIDIA Dynamo Accelerates llm-d Community Initiatives for Advancing Large-Scale Distributed Inference | generative_ai |
| Blog | 1780650582 | Learn how to integrate GPU-accelerated compression into your workflows. Gain the tools to optimize memory bandwidth, reduce storage overhead, and accelerate data-intensive applications. | true | {"deep_learning_performance":true} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-lossless-gpu-compression-with-new-flexible-interfaces-in-nvidia-nvcomp/"} | nvCOMP, nvComp | spreadsheet | Accelerating Lossless GPU Compression with NVIDIA nvCOMP | deep_learning_performance |
| Learning Path | 1780650582 | Explore NVIDIA's course on deep learning for cybersecurity and master techniques to defend against cyber threats using advanced AI algorithms. | false | {"cuvs":false} | Beginner | {"text" => "Learn more", "url" => "https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+C-DS-03+V1"} | Morpheus | spreadsheet | Building AI Based Cybersecurity Pipelines | cuvs |
| Video | 1780650582 | This video provides a comprehensive overview of nvCOMP’s key feature sets and how it helps with lossless compression on the GPU. | true | {"deep_learning_performance":true} | Intermediate | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtcspring21-s32401/?playlistId=playList-a934e7ec-127a-49e0-95a3-26d9e1995f07"} | nvCOMP | spreadsheet | Optimizing Lossless Compression Algorithms on the GPU | deep_learning_performance |
| Blog | 1780650582 | This article highlights the use of the nvCOMP library for GPU-based compression and its application in improving GPU communication performance. | true | {"deep_learning_performance":true} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/optimizing-data-transfer-using-lossless-compression-with-nvcomp/"} | nvCOMP | spreadsheet | Optimizing Data Transfer Using NVIDIA nvCOMP | deep_learning_performance |
| Video | 1780650582 | Learn about lossless compression algorithms for GPUs, and how to leverage them to accelerate GPU-GPU and GPU-CPU data transfers. | true | {"deep_learning_performance":true} | Intermediate | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtcspring21-cwes1174/?playlistId=playList-a934e7ec-127a-49e0-95a3-26d9e1995f07"} | nvCOMP | spreadsheet | Lossless Compression on the GPU | deep_learning_performance |
| Container | 1780494652 | NVIDIA NeMo Evaluator-compatible container with NeMo Skills support: https://github.com/NVIDIA/NeMo-Skills | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/nemo-skills"} |  | ngc | NVIDIA NeMo Skills | conversational_ai, cosmos, generative_ai, rag |
| Container | 1773566757 | NVIDIA NeMo Evaluator-compatible container with MTEB support. Based on Massive Text Embedding Benchmark available at: https://github.com/embeddings-benchmark/mteb | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/mteb"} |  | ngc | NVIDIA MTEB | generative_ai |
| Blog | 1770028988 | In LLM training, Expert Parallel (EP) communication for hyperscale mixture-of-experts (MoE) models is challenging. EP communication is essentially all-to-all… | false | {} | Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/optimizing-communication-for-mixture-of-experts-training-with-hybrid-expert-parallel/"} | Blackwell, DGX, InfiniBand, Spectrum-X Ethernet | techblog | Optimizing Communication for Mixture-of-Experts Training with Hybrid Expert Parallel | deep_learning_performance |
| Container | 1773258153 | NVIDIA NeMo Evaluator-compatible container with Long Context Eval support | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/long-context-eval"} |  | ngc | NVIDIA Long Context Eval | cosmos, generative_ai, rag |
| Container | 1773258221 | NVIDIA NeMo Evaluator-compatible container with Tau2-Bench support | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/tau2-bench"} |  | ngc | NVIDIA Tau2-Bench | cosmos, generative_ai, rag |
| Container | 1773566395 | NVIDIA NeMo Evaluator-compatible container with CoDeC support. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/contamination-detection"} |  | ngc | NVIDIA Contamination Detection | generative_ai |
| Container | 1780416040 | TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tensorrt-llm/containers/release"} |  | ngc | TensorRT LLM Release | inference |
| Blog | 1770192000 | What if your AI agent could instantly parse complex PDFs, extract nested tables, and “see” data within charts as easily as reading a text file? | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-build-a-document-processing-pipeline-for-rag-with-nemotron/"} | NeMo, NeMo Microservices, NeMo Retriever, Nemotron | techblog | How to Build a Document Processing Pipeline for RAG with Nemotron  | nemo_retriever, rag |
| Blog | 1769432400 | Deploying AI applications across diverse consumer hardware has traditionally forced a trade-off. You can optimize for specific GPU configurations and achieve… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/adaptive-inference-in-nvidia-tensorrt-for-rtx-enables-automatic-optimization/"} | RTX GPU, TensorRT | techblog | Adaptive Inference in NVIDIA TensorRT for RTX Enables Automatic Optimization | inference, deep_learning_performance |
| Blog | 1770271200 | Painkiller RTX sets a new standard for how small teams can balance massive visual ambition with limited resources by integrating generative AI. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-painkiller-rtx-uses-generative-ai-to-modernize-game-assets-at-scale/"} | DLSS, RTX GPU, RTX Kit | techblog | How Painkiller RTX Uses Generative AI to Modernize Game Assets at Scale | dlss_practitioner, rtx_kit_practitioner, ray_tracing |
| Blog | 1770364800 | The latest AI models continue to grow in size and complexity, demanding increasing amounts of compute performance for training and inference—far beyond what… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/3-ways-nvfp4-accelerates-ai-training-and-inference/"} | Blackwell | techblog | 3 Ways NVFP4 Accelerates AI Training and Inference | deep_learning_performance |
| Model | 1779858172 | RT-DETR object detection model for 2D warehouse applications | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/rtdetr_2d_warehouse"} | TAO Toolkit | ngc | RT-DETR 2D Warehouse | inference, data_science |
| Container | 1773566299 | NVIDIA NeMo Evaluator-compatible container with AA-LCR support | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/aa-lcr"} |  | ngc | NVIDIA AA-LCR | cosmos, generative_ai, rag |
| Container | 1780598523 | Autonomous Hardware Recovery (nemo) | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nv-mission-control/containers/nemo"} |  | ngc | nemo | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Container | 1780341988 | This is the sample frontend container used as part of the NVIDIA AI Blueprint for RAG. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/blueprint/containers/rag-frontend"} |  | ngc | rag-frontend | dlss_practitioner |
| Blog | 1771322400 | Enterprise data is inherently complex: real-world documents are multimodal, spanning text, tables, charts and graphs, images, diagrams, scanned pages, forms… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-ai-ready-knowledge-systems-using-5-essential-multimodal-rag-capabilities/"} | Blueprint, Nemotron | techblog | Build AI-Ready Knowledge Systems Using 5 Essential Multimodal RAG Capabilities | deep_learning_performance |
| Blog | 1770719400 | Building robust, intelligent robots requires testing them in complex environments. However, gathering data in the physical world is expensive, slow… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/r2d2-scaling-multimodal-robot-learning-with-nvidia-isaac-lab/"} | Cosmos, Isaac Lab | techblog | R²D²: Scaling Multimodal Robot Learning with NVIDIA Isaac Lab | cosmos |
| Blog | 1771840800 | As the sizes of AI models and datasets continue to increase, relying only on higher-precision BF16 training is no longer sufficient. Key challenges such as… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/using-nvfp4-low-precision-model-training-for-higher-throughput-without-losing-accuracy/"} | Blackwell, NeMo | techblog | Using NVFP4 Low-Precision Model Training for Higher Throughput Without Losing Accuracy | deep_learning_performance |
| Model | 1752784810 | Multilingual Parakeet-RNNT-XXL-1.1B ASR model with Universal Tokenizer trained on ASR set 1.0 | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/parakeet-rnnt-riva-1-1b-unified-ml-cs-universal"} | Riva | ngc | RIVA Parakeet-RNNT-XXL-1.1B ASR Multilingual Universal Tokenizer | riva, conversational_ai |
| Container | 1765925769 | API for managing synthetic tabular data | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/safe-synthesizer-api"} |  | ngc | NeMo Safe Synthesizer API | cosmos, rag |
| Blog | 1772184600 | Alibaba has introduced the new open source Qwen3.5 series built for native multimodal agents. The first model in this series is a ~400B parameter native vision… | false | {} | Beginner, Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/develop-native-multimodal-agents-with-qwen3-5-vlm-using-nvidia-gpu-accelerated-endpoints/"} | NeMo, NIM | techblog | Develop Native Multimodal Agents with Qwen3.5 VLM Using NVIDIA GPU-Accelerated Endpoints | nim, deep_learning_performance |
| Blog | 1709743173 | Federated learning (FL) is experiencing accelerated adoption due to its decentralized, privacy-preserving nature. In sectors such as healthcare and financial… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/turning-machine-learning-to-federated-learning-in-minutes-with-nvidia-flare-2-4/"} | FLARE, NeMo, NVFLARE | techblog | Turning Machine Learning to Federated Learning in Minutes with NVIDIA FLARE 2.4 | conversational_ai |
| Blog | 1770633000 | NVIDIA TensorRT LLM enables developers to build high-performance inference engines for large language models (LLMs), but deploying a new architecture… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/automating-inference-optimizations-with-nvidia-tensorrt-llm-autodeploy/"} | Blackwell, TensorRT, TensorRT-LLM | techblog | Automating Inference Optimizations with NVIDIA TensorRT LLM AutoDeploy | inference, deep_learning_performance |
| Blog | 1772182800 | Organizations deploying LLMs are challenged by inference workloads with different resource requirements. A small embedding model might use only a few gigabytes… | false | {} | Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/maximizing-gpu-utilization-with-nvidia-runai-and-nvidia-nim/"} | NIM, Run:ai | techblog | Maximizing GPU Utilization with NVIDIA Run:ai and NVIDIA NIM | nim, deep_learning_performance |
| Blog | 1771408800 | As AI workloads scale, achieving high throughput, efficient resource usage, and predictable latency becomes essential. NVIDIA Run:ai addresses these challenges… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/unlock-massive-token-throughput-with-gpu-fractioning-in-nvidia-runai/"} | NIM, Run:ai | techblog | Unlock Massive Token Throughput with GPU Fractioning in NVIDIA Run:ai | nim, deep_learning_performance |
| Blog | 1772319600 | To make 6G a reality, the telecom industry must overcome a fundamental challenge: how to design, train, and validate AI-native networks that are too complex to… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/5-new-digital-twin-products-developers-can-use-to-build-6g-networks/"} | Aerial, Omniverse | techblog | 5 New Digital Twin Products Developers Can Use to Build 6G Networks | ray_tracing, usd_resources |
| Blog | 1772319600 | Autonomous networks are quickly becoming one of the top priorities in telecommunications. According to the latest NVIDIA State of AI in Telecommunications… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-telco-reasoning-models-for-autonomous-networks-with-nvidia-nemo/"} | NeMo, TensorRT-LLM | techblog | Building Telco Reasoning Models for Autonomous Networks with NVIDIA NeMo | deep_learning_performance |
| Blog | 1772010000 | LLM context lengths are exploding, and architectures are moving toward complex attention schemes like Multi-Head Latent Attention (MLA) and Grouped Query… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/making-softmax-more-efficient-with-nvidia-blackwell-ultra/"} | Blackwell, GB200 | techblog | Making Softmax More Efficient with NVIDIA Blackwell Ultra | deep_learning_performance |
| Blog | 1771401600 | As global AI adoption accelerates, developers face a growing challenge: delivering large language model (LLM) performance that meets real-world latency and cost… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-nvidia-extreme-hardware-software-co-design-delivered-a-large-inference-boost-for-sarvam-ais-sovereign-models/"} | Blackwell, DGX Cloud, H100, NeMo, NeMo Microservices, Nemotron | techblog | How NVIDIA Extreme Hardware-Software Co-Design Delivered a Large Inference Boost for Sarvam AI’s Sovereign Models | deep_learning_performance |
| Collection | 1772815610 | This collection contains performance-optimized Deep Learning frameworks. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/collections/nvidia_dlfw"} |  | ngc | Deep Learning Frameworks | inference, morpheus |
| Blog | 1747645200 | AI experiences are rapidly expanding on Windows in creativity, gaming, and productivity apps. There are various frameworks available to accelerate AI inference… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-tensorrt-for-rtx-introduces-an-optimized-inference-ai-library-on-windows/"} | TensorRT | techblog | NVIDIA TensorRT for RTX Introduces an Optimized Inference AI Library on Windows 11 | generative_ai |
| Blog | 1747609200 | Augmented reality (AR) and AI are revolutionizing the beauty and fashion industry by offering hyperpersonalized experiences, from virtual try-ons to AI-driven… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/spotlight-perfect-corp-delivers-personalized-digital-beauty-experiences-using-nvidia-tensorrt-and-nvenc/"} | NVENC, TensorRT | techblog | Spotlight: Perfect Corp. Delivers Personalized Digital Beauty Experiences Using NVIDIA TensorRT and NVENC | generative_ai |
| Collection | 1773787964 | Nemotron Speech Realtime - Speech-to-Text Collection | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/collections/nemotron-asr-streaming"} |  | ngc | Nemotron Speech Realtime Collection | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Model | 1773116823 | Open vocabulary multi-modal instance segmentation model trained on commercial data. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/mask_grounding_dino"} | TAO Toolkit | ngc | Mask Grounding DINO CC | data_science |
| Blog | 1780650375 |  | false | {"riva":false} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-real-time-multimodal-xr-apps-with-nvidia-ai-blueprint-for-video-search-and-summarization/"} | Metropolis, Isaac Sim, NIM, Omniverse, Riva | spreadsheet | Vision Language Model Prompt Engineering Guide for Image and Video Understanding | riva |
| Blog | 1704790800 | At the core of understanding people correctly and having natural conversations is automatic speech recognition (ASR). To make customer-led voice assistants and… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/enhancing-phone-customer-service-with-asr-customization/"} | Riva | techblog | Enhancing Phone Customer Service with ASR Customization | riva |
| Blog | 1701262800 | Meetings are the lifeblood of an organization. They foster collaboration and informed decision-making. They eliminate silos through brainstorming and problem… | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/boost-meeting-productivity-with-ai-powered-note-taking-and-summarization/"} | Riva | techblog | Boost Meeting Productivity with AI-Powered Note-Taking and Summarization | riva |
| Blog | 1685462314 | The powerful language neutralization offered by Infosys Cortex and based on NVIDIA Riva speech and translation enables contact center agents to communicate effectively... | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-language-neutralization-is-transforming-customer-service-contact-centers/"} | Riva | techblog | How Language Neutralization Is Transforming Customer Service Contact Centers | riva |
| Blog | 1685433600 | Learn why conversational AI systems are essential and why it is important to have a high level of transcription accuracy for optimal performance in downstream tasks. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/enhancing-customer-experience-in-telecom-with-nvidia-customized-speech-ai/"} | Riva | techblog | Enhancing Customer Experience in Telecom with NVIDIA Customized Speech AI | riva |
| Blog | 1670513839 | Learn about the Riva SDK and its use in developing speech AI applications. We also discuss Riva’s architecture, key features, and components for building speech AI... | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/introducing-riva-a-gpu-accelerated-sdk-for-developing-speech-ai-applications/"} | Riva, TensorRT, Triton Inference Server, Dynamo | techblog | Introducing NVIDIA Riva: A GPU-Accelerated SDK for Developing Speech AI Applications | riva |
| Blog | 1663846380 | Learn how to add speech AI skills, like speech-to-text (STT) and text-to-speech (TTS), to your intelligent robotics application using low-code building blocks. | false | {} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/low-code-building-blocks-for-speech-ai-robotics/"} | Jetson Orin, Riva | techblog | Low-Code Building Blocks for Speech AI Robotics | riva |
| Blog | 1742294502 | NVIDIA announced world-record DeepSeek-R1 inference performance at NVIDIA GTC 2025. A single NVIDIA DGX system with eight NVIDIA Blackwell GPUs can achieve over… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-blackwell-delivers-world-record-deepseek-r1-inference-performance/"} | Blackwell, TensorRT, TensorRT-LLM | techblog | NVIDIA Blackwell Delivers World-Record DeepSeek-R1 Inference Performance | inference |
| Blog | 1780650375 |  | false | {"riva":false} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-integrate-computer-vision-pipelines-with-generative-ai-and-reasoning/"} | Metropolis, Blueprint, Cosmos, NIM | spreadsheet | Build a Real-Time Visual Inspection Pipeline with NVIDIA TAO 6 and NVIDIA DeepStream 8 | riva |
| Blog | 1780650375 |  | false | {"riva":false} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-an-agentic-video-workflow-with-video-search-and-summarization/"} | Metropolis, Morpheus, NIM | spreadsheet | Build Multimodal Visual AI Agents Powered by NVIDIA NIM | riva |
| Blog | 1773131400 | NVIDIA RTX ray tracing and AI-powered neural rendering technologies are redefining how games are made, enabling a new standard for visuals and performance. | false | {} | General Interest | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-rtx-innovations-are-powering-the-next-era-of-game-development/"} | ACE, Blackwell, CloudXR, DLSS, Nsight Tools - Graphics, RTX Kit | techblog | NVIDIA RTX Innovations Are Powering the Next Era of Game Development | dlss_practitioner, rtx_kit_practitioner, ray_tracing, xr, deep_learning_performance |
| Blog | 1754899200 | At SIGGRAPH, NVIDIA announced updates to the NVIDIA Omniverse libraries and Cosmos world foundation models (WFMs). Powered by OpenUSD, developers can access new… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/developers-build-fast-and-reliable-robot-simulations-with-nvidia-omniverse-libraries/"} | Cosmos, Isaac Lab, Isaac Sim, Omniverse | techblog | Developers Build Fast and Reliable Robot Simulations with NVIDIA Omniverse Libraries | ray_tracing, usd_resources, cosmos |
| Blog | 1749614400 | Modern products often consist of millions of parts and require intricate design and collaboration. The industrial world is facing significant challenges in… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-photorealistic-digital-twins-with-siemens-teamcenter-digital-reality-viewer/"} | CUDA, Omniverse, RTX GPU | techblog | Building Photorealistic Digital Twins With Siemens Teamcenter Digital Reality Viewer | ray_tracing, usd_resources |
| Blog | 1746608400 | Universal Scene Description (OpenUSD) offers a powerful, open, and extensible ecosystem for describing, composing, simulating, and collaborating within complex… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/using-python-to-automate-3d-workflows-with-openusd/"} | Omniverse | techblog | Using Python to Automate 3D Workflows with OpenUSD  | ray_tracing, usd_resources |
| Blog | 1742288376 | Physical AI models enable robots to autonomously perceive, interpret, reason, and interact with the real world. Accelerated computing and simulations are key to… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/announcing-newton-an-open-source-physics-engine-for-robotics-simulation/"} | Omniverse | techblog | Announcing Newton, an Open-Source Physics Engine for Robotics Simulation | ray_tracing, usd_resources |
| Video | 1780650375 |  | false | {"riva":false} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/optimizing-semiconductor-defect-classification-with-generative-ai-and-vision-foundation-models/"} | Metropolis, Cosmos, TAO Toolkit | spreadsheet | How to build Visual AI Agents with NVIDIA Cosmos Reason and Metropolis | riva |
| Blog | 1780650375 |  | false | {"riva":false} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/maximize-robotics-performance-by-post-training-nvidia-cosmos-reason/"} | Metropolis, Cosmos | spreadsheet | Advance Video Analytics AI Agents Using the NVIDIA AI Blueprint for Video Search and Summarization | riva |
| Blog | 1749614400 | Building smarter robots and autonomous vehicles (AVs) starts with physical AI models that understand real-world dynamics. These models serve two critical roles… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/develop-custom-physical-ai-foundation-models-with-nvidia-cosmos-predict-2/"} | Cosmos | techblog | Develop Custom Physical AI Foundation Models with NVIDIA Cosmos Predict-2 | cosmos |
| Blog | 1780650375 |  | false | {"riva":false} |  | {"text" => "Learn more", "url" => ""} | TAO Toolkit, Metropolis | spreadsheet | Optimizing Semiconductor Defect Classification with Generative AI and Vision Foundation Models | riva |
| Blog | 1780650375 |  | false | {"riva":false} |  | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=E0c4vTfeyqU"} | Metropolis | spreadsheet | How to Integrate Computer Vision Pipelines with Generative AI and Reasoning | riva |
| Blog | 1780650375 |  | false | {"riva":false} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-a-real-time-visual-inspection-pipeline-with-nvidia-tao-6-and-nvidia-deepstream-8/"} | Metropolis | spreadsheet | Maximize Robotics Performance by Post-Training NVIDIA Cosmos Reason | riva |
| Blog | 1780650375 |  | false | {"riva":false} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/advance-video-analytics-ai-agents-using-the-nvidia-ai-blueprint-for-video-search-and-summarization/"} | Riva, Metropolis | spreadsheet | Build Real-Time Multimodal XR Apps with NVIDIA AI Blueprint for Video Search and Summarization | riva |
| Blog | 1780650375 |  | false | {"riva":false} |  | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/vision-language-model-prompt-engineering-guide-for-image-and-video-understanding/"} | Riva, Metropolis | spreadsheet | Build an Agentic Video Workflow with Video Search and Summarization | riva |
| Glossary Page | 1780650582 | Humanoids are general-purpose, bipedal robots modeled after the human form factor and  designed to work alongside humans to augment productivity. | false | {"rtx_kit_practitioner":false} | Beginner | {"text" => "Learn more", "url" => "https://www.nvidia.com/en-us/glossary/humanoid-robot/ "} | GR00T, Isaac | spreadsheet | What is a Humanoid Robot? | rtx_kit_practitioner |
| Video | 1780650582 | Build data factories for humanoid robots with NVIDIA Isaac GR00T. | false | {"rtx_kit_practitioner":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=waZ08Z3uimk "} | GR00T, Isaac | spreadsheet | Streamline Data Collection With NVIDIA Isaac GR00T | rtx_kit_practitioner |
| Video | 1780650582 | NVIDIA Isaac GR00T-Dreams generates large-scale synthetic trajectory data from minimal human demonstrations, enabling robots to quickly learn a wide array of new actions. | false | {"rtx_kit_practitioner":false} | General Interest | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=8Mwrfvq-GeY "} |  | spreadsheet | How Robot Brains Dream and Explore Unseen Worlds | rtx_kit_practitioner |
| Research | 1780650582 | GR00T N1, a generalist robot model trained on a diverse dataset, includes egocentric human videos, real and simulated robot trajectories, and synthetic data. | false | {"rtx_kit_practitioner":false} | Beginner | {"text" => "Learn more", "url" => "https://research.nvidia.com/publication/2025-03_nvidia-isaac-gr00t-n1-open-foundation-model-humanoid-robots"} |  | spreadsheet | GR00T N1 Research Paper | rtx_kit_practitioner |
| Video | 1780650582 | Learn about Edify Image, a diffusion model suite for high quality image generation from NVIDIA Research. | false | {"cosmos":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=opiaV94tMJ4"} | Cosmos | spreadsheet | Edify Image - A Diffusion Model Suite | cosmos |
| Video | 1780650582 | Using text and images as descriptions, developers and visual content creators can use NVIDIA Edify 3D to quickly generate 3D objects to create virtual worlds and prototype ideas. | false | {"cosmos":false} | Beginner | {"text" => "Learn more", "url" => "https://www.youtube.com/watch?v=ROqB8xhKZ6U"} | Cosmos | spreadsheet | 3D! Generative AI with NVIDIA Edify 3D | cosmos |
| Model | 1778348997 | Cosmos-Embed1 is a joint video-text embedder tailored for physical AI. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/cosmos-embed1"} | TAO Toolkit | ngc | Cosmos-Embed1 | xr |
| Blog | 1773219600 | Agentic AI systems need models with the specialized depth to solve dense technical problems autonomously. They must excel at reasoning, coding… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/introducing-nemotron-3-super-an-open-hybrid-mamba-transformer-moe-for-agentic-reasoning/"} | NeMo, Nemotron, NIM, TensorRT-LLM | techblog | Introducing Nemotron 3 Super: An Open Hybrid Mamba-Transformer MoE for Agentic Reasoning | nim, deep_learning_performance |
| Container | 1780423574 | kubernetes-operator is a container that runs as part of the Dynamo cloud platform. Dynamo cloud is a kubernetes platform for deploying and managing inference services. This container manages the lifecycle of Dynamo inference deployments in kubernetes. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/kubernetes-operator"} |  | ngc | Dynamo kubernetes-operator | inference |
| Collection | 1763956933 | Studio Voice Effect for Audio Effects SDK | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/maxine_afx_studio_voice"} |  | ngc | Studio Voice Effect | nvcomp |
| Collection | 1767732039 | Collection of artifacts related to the Maxine VFX SDK Super Resolution Effect | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/nvvfxsuperres"} |  | ngc | Super Resolution | nvcomp |
| Collection | 1763595598 | Collection of artifacts related to the Maxine AR SDK Video Live Portrait Effect | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/maxine/collections/nvarliveportrait"} |  | ngc | Video Live Portrait | nvcomp |
| Collection | 1780598677 | NVIDIA Mission Control™ powers NVIDIA Blackwell™ data centers for the newest frontiers of AI, bringing instant agility to inference and training workloads and full-stack intelligence that delivers world-class infrastructure resiliency. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nv-mission-control/collections/nvidia_mission_control"} |  | ngc | NVIDIA Mission Control | generative_ai, nemo_customizer, nemo_evaluator, nemo_curator, nemo_guardrails |
| Container | 1773330949 | VLM Preset Checker Container | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/cosmos/containers/vlm"} |  | ngc | vlm | generative_ai |
| Container | 1773330950 | Attribute Verification Checker Container | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/cosmos/containers/attribute-verification-checker"} |  | ngc | attribute-verification-checker | generative_ai |
| Container | 1773330946 | Hallucination Checker Container | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/cosmos/containers/hallucination-checker"} |  | ngc | hallucination-checker | generative_ai |
| Model | 1773594041 | Proteina-Complexa is a flow-matching generative model for fully atomistic protein binder design, jointly generating amino acid sequences and all-atom 3D coordinates from noise using a partially latent architecture derived from La-Proteina | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/models/proteina_complexa"} |  | ngc | Proteina - Complexa | data_science |
| Model | 1773594352 | Proteina-Complexa is a flow-matching generative model for fully atomistic protein binder design, jointly generating amino acid sequences and all-atom 3D coordinates from noise using a partially latent architecture derived from La-Proteina. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/models/proteina_complexa_ame"} |  | ngc | Proteina - Complexa - AME | data_science |
| Model | 1773594496 | Proteina-Complexa is a flow-matching generative model for fully atomistic protein binder design, jointly generating amino acid sequences and all-atom 3D coordinates from noise using a partially latent architecture derived from La-Proteina. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/models/proteina_complexa_ligand"} |  | ngc | Proteina Complexa Ligand | data_science |
| Blog | 1773392447 | The next generation of AI-driven robots like humanoids and autonomous vehicles depends on high-fidelity, physics-aware training data. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/scale-synthetic-data-and-physical-ai-reasoning-with-nvidia-cosmos-world-foundation-models-2/"} | Cosmos | techblog | Scale Synthetic Data and Physical AI Reasoning with NVIDIA Cosmos World Foundation Models | cosmos |
| Blog | 1747385308 | Developers building powerful multimodal applications now have a new state-of-the-art model designed for enterprise-scale performance with Mistral Medium 3. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-agents-and-understand-long-docs-with-mistral-medium-3-and-nvidia-nim/"} | NIM | techblog | Build Agents and Understand Long Docs with Mistral Medium 3 and NVIDIA NIM | generative_ai |
| Blog | 1773651958 | Artificial intelligence is token-driven. Every prompt, reasoning step, and agent interaction generates tokens. Over the past year, token consumption has grown… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-vera-rubin-pod-seven-chips-five-rack-scale-systems-one-ai-supercomputer/"} | Blackwell, BlueField DPU, ConnectX, NVLink, Spectrum-X Ethernet | techblog | NVIDIA Vera Rubin POD: Seven Chips, Five Rack-Scale Systems, One AI Supercomputer | deep_learning_performance |
| Blog | 1773742400 | AI-native services are exposing a new bottleneck in AI infrastructure: As millions of users, agents, and devices demand access to intelligence… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-the-ai-grid-with-nvidia-orchestrating-intelligence-everywhere/"} | Holoscan, Maxine, Metropolis, Riva | techblog | Building the AI Grid with NVIDIA: Orchestrating Intelligence Everywhere  | riva, maxine, deep_learning_performance |
| Blog | 1773667800 | Autonomous AI agents are driving the next wave of AI innovation. These agents must often manage long-running tasks that use multiple communication channels and… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/scaling-autonomous-ai-agents-and-workloads-with-nvidia-dgx-spark/"} | Isaac Lab, TensorRT-LLM | techblog | Scaling Autonomous AI Agents and Workloads with NVIDIA DGX Spark | inference, deep_learning_performance |
| Blog | 1773824400 | While consumer AI offers powerful capabilities, workplace tools often suffer from disjointed data and limited context. Built with LangChain, the NVIDIA AI-Q… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-build-deep-agents-for-enterprise-search-with-nvidia-ai-q-and-langchain/"} | Agent toolkit, Blueprint, NeMo, Nemotron | techblog | How to Build Deep Agents for Enterprise Search with NVIDIA AI-Q and LangChain | deep_learning_performance |
| Blog | 1773667800 | Reasoning models are growing rapidly in size and are increasingly being integrated into agentic AI workflows that interact with other models and external tools. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-dynamo-1-production-ready/"} | CUDA, Dynamo, GB200, H200, Hopper, NeMo, TensorRT-LLM | techblog | How NVIDIA Dynamo 1.0 Powers Multi-Node Inference at Production Scale | deep_learning_performance |
| Blog | 1774272257 | Industrial and medical systems are rapidly increasing the use of high-performance AI to improve worker productivity, human-machine interaction… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-igx-thor-powers-industrial-medical-and-robotics-edge-ai-applications/"} | AI Enterprise, Blackwell, ConnectX, IGX | techblog | NVIDIA IGX Thor Powers Industrial, Medical, and Robotics Edge AI Applications | deep_learning_performance |
| Blog | 1774955690 | Spatial computing is moving from visualization to active collaboration, adding increasingly more GPU demands on XR hardware to render photorealistic… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/stream-high-fidelity-spatial-computing-content-to-any-device-with-nvidia-cloudxr-6-0/"} | CloudXR | techblog | Stream High-Fidelity Spatial Computing Content to Any Device with NVIDIA CloudXR 6.0 | xr |
| Blog | 1775030448 | Co-designed hardware, software, and models are key to delivering the highest AI factory throughput and lowest token cost. Measuring this goes far beyond peak… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-platform-delivers-lowest-token-cost-enabled-by-extreme-co-design/"} | Dynamo, InfiniBand, TensorRT-LLM | techblog | NVIDIA Platform Delivers Lowest Token Cost Enabled by Extreme Co-Design | deep_learning_performance |
| Blog | 1774953000 | Delivering high-fidelity VR and AR experiences to enterprise users has typically required native application development, custom device management… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-and-stream-browser-based-xr-experiences-with-nvidia-cloudxr-js/"} | Isaac Lab, Omniverse, RTX GPU | techblog | Build and Stream Browser-Based XR Experiences with NVIDIA CloudXR.js | ray_tracing, usd_resources |
| Blog | 1774411200 | In the AI era, power is the ultimate constraint, and every AI factory operates within a hard limit. This makes performance per watt—the rate at which power is… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/scaling-token-factory-revenue-and-ai-efficiency-by-maximizing-performance-per-watt/"} | Blackwell, Blueprint, cuLitho, Grace CPU, Hopper, NVLink, Omniverse | techblog | Scaling Token Factory Revenue and AI Efficiency by Maximizing Performance per Watt | ray_tracing, usd_resources, deep_learning_performance |
| Blog | 1775122066 | The Gemmaverse expands with the launch of the latest Gemma 4 multimodal and multilingual models, designed to scale across the full spectrum of deployments… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/bringing-ai-closer-to-the-edge-and-on-device-with-gemma-4/"} | Blackwell, DGX, Jetson, NeMo | techblog | Bringing AI Closer to the Edge and On-Device with Gemma 4  | deep_learning_performance |
| Blog | 1775120400 | In algorithmic trading, reducing response times to market events is crucial. To keep pace with high-speed electronic markets, latency-sensitive firms often use… | false | {} | Intermediate, Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/achieving-single-digit-microsecond-latency-inference-for-capital-markets/"} | Blackwell | techblog | Achieving Single-Digit Microsecond Latency Inference for Capital Markets | deep_learning_performance |
| Blog | 1775728118 | Training LLMs requires periodic checkpoints. These full snapshots of model weights, optimizer states, and gradients are saved to storage so training can resume… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/cut-checkpoint-costs-with-about-30-lines-of-python-and-nvidia-nvcomp/"} | Blackwell, GPUDirect, nvComp | techblog | Cut Checkpoint Costs with About 30 Lines of Python and NVIDIA nvCOMP | nvcomp, deep_learning_performance |
| Blog | 1775930564 | The release of MiniMax M2.7 adds enhancements to the popular MiniMax M2.5 model, built for agentic harnesses, and other complex use cases in fields such as… | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/minimax-m2-7-advances-scalable-agentic-workflows-on-nvidia-platforms-for-complex-ai-applications/"} | General, NIM | techblog | MiniMax M2.7 Advances Scalable Agentic Workflows on NVIDIA Platforms for Complex AI Applications  | nim, deep_learning_performance |
| Container | 1780424104 | The Dynamo SGLang runtime image is a containerized build of Dynamo + SGLang which serves as the base runtime environment for sglang based inference with Dynamo's distributed inference framework. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/sglang-runtime"} |  | ngc | Dynamo SGLang Runtime | inference |
| Blog | 1776150956 | NVIDIA Ising is the world’s first family of open AI models for building quantum processors, launching with two model domains: Ising Calibration and Ising… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-ising-introduces-ai-powered-workflows-to-build-fault-tolerant-quantum-systems/"} | CUDA-Q, cuQuantum, NIM | techblog | NVIDIA Ising Introduces AI-Powered Workflows to Build Fault-Tolerant Quantum Systems | nim, deep_learning_performance |
| Blog | 1776159000 | For decades, computational chemistry has faced a tug-of-war between accuracy and speed. Ab initio methods like density functional theory (DFT) provide high… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-custom-atomistic-simulation-workflows-for-chemistry-and-materials-science-with-nvidia-alchemi-toolkit/"} | NIM, PhysicsNeMo | techblog | Building Custom Atomistic Simulation Workflows for Chemistry and Materials Science with NVIDIA ALCHEMI Toolkit | nim, deep_learning_performance |
| Blog | 1775721600 | Proteins rarely function in isolation as individual monomers. Most biological processes are governed by proteins interacting with other proteins… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-accelerate-protein-structure-prediction-at-proteome-scale/"} | CUDA, DGX, NIM, TensorRT | techblog | How to Accelerate Protein Structure Prediction at Proteome-Scale | nim, deep_learning_performance |
| Blog | 1775638800 | Physical AI—AI systems that perceive, reason, and act in physically grounded simulated environments—is changing how teams design and validate robots and… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/integrate-physical-ai-capabilities-into-existing-apps-with-nvidia-omniverse-libraries/"} | Omniverse | techblog | Integrate Physical AI Capabilities into Existing Apps with NVIDIA Omniverse Libraries | ray_tracing, usd_resources |
| Blog | 1775134800 | In vision AI systems, model throughput continues to improve. The surrounding pipeline stages must keep pace, including decode, preprocessing, and GPU scheduling. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerating-vision-ai-pipelines-with-batch-mode-vc-6-and-nvidia-nsight/"} | Blackwell, Hopper, Nsight Tools - Compute | techblog | Accelerating Vision AI Pipelines with Batch Mode VC-6 and NVIDIA Nsight | deep_learning_performance |
| Blog | 1776700335 | As LLMs transition from simple text generation to complex reasoning, reinforcement learning (RL) plays a central role. Algorithms like Group Relative Policy… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/run-high-throughput-reinforcement-learning-training-with-end-to-end-fp8-precision/"} | Blackwell, NeMo | techblog | Run High-Throughput Reinforcement Learning Training with End-to-End FP8 Precision | deep_learning_performance |
| Blog | 1731994200 | Today, brands and their creative agencies are under huge strain to create and deliver high-quality, accurate product images at scale, from campaign key visuals… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-a-generative-ai-openusd-app-for-brand-accurate-marketing-visuals/"} | NIM, Omniverse | techblog | Building a Generative AI OpenUSD App for Brand-Accurate Marketing Visuals | usd_resources |
| Blog | 1776950102 | In March 2026, three LLM agents generated over 600,000 lines of code, ran 850 experiments, and helped secure a first-place finish in a Kaggle playground… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/winning-a-kaggle-competition-with-generative-ai-assisted-coding/"} | cuDF, cuML | techblog | Winning a Kaggle Competition with Generative AI–Assisted Coding | data_science |
| Blog | 1777048196 | DeepSeek just launched its fourth generation of flagship models with DeepSeek-V4-Pro and DeepSeek-V4-Flash, both targeted at enabling highly efficient million… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-with-deepseek-v4-using-nvidia-blackwell-and-gpu-accelerated-endpoints/"} | Blackwell | techblog | Build with DeepSeek V4 Using NVIDIA Blackwell and GPU-Accelerated Endpoints | deep_learning_performance |
| Container | 1779986905 | Triton Inference Server PB October 2025 (PB 25h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tritonserver-pb25h2"} |  | ngc | Triton Inference Server PB October 2025 (PB 25h2) | inference |
| Blog | 1777363200 | The subsurface industry is at a critical point in its digital evolution. For decades, unlocking reservoir potential has relied on experts performing essential… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/24-7-simulation-loops-how-agentic-ai-keeps-subsurface-engineering-moving/"} | NeMo, NeMo Retriever, Nemotron, NIM | techblog | 24/7 Simulation Loops: How Agentic AI Keeps Subsurface Engineering Moving | nim, nemo_retriever, deep_learning_performance |
| Blog | 1777543200 | Today, game developers can begin integrating NVIDIA DLSS 4.5 with Dynamic Multi Frame Generation, Multi Frame Generation 6X, and the second-generation… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-ai-powered-games-with-nvidia-dlss-4-5-rtx-and-unreal-engine-5/"} | DLSS, RTX Kit, Streamline | techblog | Build AI-Powered Games with NVIDIA DLSS 4.5, RTX, and Unreal Engine 5 | dlss_practitioner, rtx_kit_practitioner, ray_tracing |
| Blog | 1777543200 | Neural network techniques are increasingly used in computer graphics to boost image quality, improve performance, and streamline content creation. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/speed-up-unreal-engine-nne-inference-with-nvidia-tensorrt-for-rtx-runtime/"} | RTX GPU, TensorRT | techblog | Speed Up Unreal Engine NNE Inference with NVIDIA TensorRT for RTX Runtime | deep_learning_performance |
| Blog | 1777540564 | Creative and visualization teams today produce more assets, in more formats, with leaner teams. Generative AI can accelerate that work – compressing tasks that… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-build-run-and-scale-high-quality-creator-workflows-in-comfyui/"} | Blackwell, RTX GPU, RTX Virtual Workstations | techblog | How to Build, Run, and Scale High-Quality Creator Workflows in ComfyUI | deep_learning_performance |
| Blog | 1777377600 | For decades, computational biology has operated under a reductionist compromise. To fit complex biological systems into the limited memory of a single GPU… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/scaling-biomolecular-modeling-using-context-parallelism-in-nvidia-bionemo/"} | BioNeMo, TensorRT | techblog | Scaling Biomolecular Modeling Using Context Parallelism in NVIDIA BioNeMo | deep_learning_performance |
| Blog | 1776864600 | AI integration is redefining mainstream enterprise applications, from productivity software like Microsoft Office to more complex design and engineering tools. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/scaling-the-ai-ready-data-center-with-nvidia-rtx-pro-4500-blackwell-server-edition-and-nvidia-vgpu-20/"} | Blackwell, RTX GPU | techblog | Scaling the AI-Ready Data Center with NVIDIA RTX PRO 4500 Blackwell Server Edition and NVIDIA vGPU 20 | deep_learning_performance |
| Container | 1762444226 | Kaldi is an open-source software framework for speech processing. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/kaldi"} |  | ngc | Kaldi | inference |
| Blog | 1777902905 | Modern supply chains operate under the constant pressures of fluctuating demand, volatile costs, constrained capacity, and interdependent decision-making. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/optimize-supply-chain-decision-systems-using-nvidia-cuopt-agent-skills/"} | CUDA, cuOpt | techblog | Optimize Supply Chain Decision Systems Using NVIDIA cuOpt Agent Skills | data_science |
| Blog | 1777971135 | Generative AI’s explosive first chapter was defined by humans sending requests and models responding. The agentic chapter is different. Agents don’t follow a… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-for-the-rising-complexity-of-agentic-systems-with-extreme-co-design/"} | BlueField DPU, Dynamo, NeMo, NVLink, TensorRT-LLM | techblog | Building for the Rising Complexity of Agentic Systems with Extreme Co-Design | deep_learning_performance |
| Blog | 1709211600 | In the ever-evolving landscape of large language models (LLMs), effective data management is a key challenge. Data is at the heart of model performance. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/scalable-federated-learning-with-nvidia-flare-for-enhanced-llm-performance/"} | FLARE, NeMo, NVFLARE | techblog | Scalable Federated Learning with NVIDIA FLARE for Enhanced LLM Performance | conversational_ai |
| Blog | 1778163486 | Model quantization is an effective method to reduce VRAM usage and improve inference performance on consumer devices such as NVIDIA GeForce RTX GPUs. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/model-quantization-post-training-quantization-using-nvidia-model-optimizer/"} | RTX GPU, TensorRT | techblog | Model Quantization: Post-Training Quantization Using NVIDIA Model Optimizer | inference, deep_learning_performance |
| Blog | 1724848200 | The Llama 3.1 405B large language model (LLM), developed by Meta, is an open-source community model that delivers state-of-the-art performance and supports a… | false | {} | General Interest, Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/boosting-llama-3-1-405b-performance-by-up-to-44-with-nvidia-tensorrt-model-optimizer-on-nvidia-h200-gpus/"} | AI Enterprise, NIM, NVLink, TensorRT, TensorRT-LLM | techblog | Boosting Llama 3.1 405B Performance up to 1.44x with NVIDIA TensorRT Model Optimizer on NVIDIA H200 GPUs | inference |
| Blog | 1778163614 | NVIDIA GB200 NVL72 introduces a fundamentally new way to build GPU clusters by extending NVIDIA NVLink coherence across an entire rack. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/achieving-peak-system-and-workload-efficiency-on-nvidia-gb200-nvl72-with-slurm-block-scheduling/"} | Blackwell, DGX, GB200, NVLink | techblog | Achieving Peak System and Workload Efficiency on NVIDIA GB200 NVL72 with Slurm Block Scheduling | deep_learning_performance |
| Blog | 1777971600 | The automotive cockpit is undergoing a fundamental shift from rule-based interfaces to agentic, multimodal AI systems capable of reasoning, planning, and acting. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-build-in-vehicle-ai-agents-with-nvidia-from-cloud-to-car/"} | DRIVE, Nemotron, TensorRT-LLM | techblog | How to Build In-Vehicle AI Agents with NVIDIA: From Cloud to Car  | inference, deep_learning_performance |
| Blog | 1778665160 | A massive-scale X-ray free-electron laser (XFEL) enables tracking structural and electron dynamics in novel systems, including fusion materials, semiconductors… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/accelerated-x-ray-analysis-for-nanoscale-imaging-xani-of-novel-materials/"} | Blackwell, CUDA, cuPyNumeric, GB200 | techblog | Accelerated X-Ray Analysis for Nanoscale Imaging (XANI) of Novel Materials | deep_learning_performance |
| Blog | 1778670000 | In today’s data-driven world, organizations increasingly rely on video to capture critical information, yet extracting meaningful, real-time insights from… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/transform-video-into-instantly-searchable-actionable-intelligence-with-ai-agents-and-skills/"} | Blueprint, Metropolis | techblog | Transform Video Into Instantly Searchable, Actionable Intelligence with AI Agents and Skills  | deep_learning_performance |
| Blog | 1778583600 | The path from a trained AI model to production should be smooth, but rarely is. Many teams invest weeks fine-tuning models, only to discover that exporting to a… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-eliminate-pipeline-friction-in-ai-model-serving/"} | TensorRT | techblog | How to Eliminate Pipeline Friction in AI Model Serving | inference, deep_learning_performance |
| Blog | 1779363116 | In quantitative finance, researchers build algorithms to trade assets, derivatives, and other financial instruments. A key part of that work is finding signals… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/automating-and-optimizing-financial-signal-discovery-with-multi-agent-systems/"} | Blueprint, NeMo, Nemotron | techblog | Automating and Optimizing Financial Signal Discovery with Multi-Agent Systems | deep_learning_performance |
| Blog | 1779359576 | As AI models grow in scale and complexity, realizing the full performance of modern accelerated infrastructure depends as much on how workloads are placed as on… | false | {} | Intermediate, Advanced | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/unlock-exascale-performance-on-nvidia-gb200-nvl72-with-slurm-topology-aware-job-scheduling/"} | Blackwell, GB200, NVLink | techblog | Unlock Exascale Performance on NVIDIA GB200 NVL72 with Slurm Topology-Aware Job Scheduling | deep_learning_performance |
| Blog | 1779786000 | Precision medicine depends on two fundamental capabilities: understanding disease at the genomic level and identifying treatments at the molecular level. NVIDIA’… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/run-key-genomics-and-protein-folding-workloads-faster-with-nvidia-rtx-pro-4500-blackwell/"} | BioNeMo, Blackwell, Parabricks, RTX GPU | techblog | Run Key Genomics and Protein Folding Workloads Faster with NVIDIA RTX PRO 4500 Blackwell  | deep_learning_performance |
| Container | 1779933047 | TensorRT Production Branch 6 offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.  This release includes Government Ready images for regulated environments. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tensorrt-pb6"} |  | ngc | TensorRT Production Branch 6 | inference |
| Container | 1779932557 | NVIDIA RAPIDS Production Branch 6 (PB6) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/rapids-pb6"} |  | ngc | RAPIDS Production Branch 6 (PB6) | morpheus |
| Blog | 1779875998 | NVIDIA RTX provides game developers with direct paths to AI-driven characters, frame generation, and ray-traced rendering. This post walks through a meaningful… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/whats-new-for-game-developers-in-nvidia-rtx-dlss-4-5-for-ue5-and-multilingual-ai-characters/"} | ACE, DLSS, RTX GPU | techblog | What's New for Game Developers in NVIDIA RTX: DLSS 4.5 for UE5 and Multilingual AI Characters | dlss_practitioner, ray_tracing |
| Blog | 1779886800 | Large language models (LLMs) are revolutionizing the financial trading landscape by enabling sophisticated analysis of vast amounts of unstructured data to… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/nvidia-blackwell-sets-stac-ai-record-for-llm-inference-in-finance/"} | Blackwell, GB200, Hopper, NVLink, TensorRT, TensorRT-LLM | techblog | NVIDIA Blackwell Sets STAC-AI Record for LLM Inference in Finance | inference, deep_learning_performance |
| Blog | 1779352200 | Telcos around the world are building sovereign AI factories based on the NVIDIA Cloud Partner (NCP) reference architecture, giving governments, enterprises… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/building-token-metered-ai-services-on-telco-ai-factories/"} | Blackwell, GB200, H100, Hopper, InfiniBand, NeMo, NIM, NVLink | techblog | Building Token‑Metered AI Services on Telco AI Factories | nim, deep_learning_performance |
| Model | 1780092955 | TAO Pretrained Sparse4D with ResNet-101 Backbone | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/sparse4d_rn101"} | TAO Toolkit | ngc | Sparse4D (ResNet-101) | data_science |
| Model | 1780092957 | TAO Pretrained Sparse4D with ResNet-50 Backbone | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/sparse4d_rn50"} | TAO Toolkit | ngc | Sparse4D (ResNet-50) | data_science |
| Container | 1762438572 | Multi-node training admission controller for DGX Cloud | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/dgxc-admission-controller"} |  | ngc | DGX Cloud Admission Controller | cosmos, rag |
| Container | 1762438574 | Evaluation benchmark for code generation models | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/eval-tool-benchmark-bigcode"} |  | ngc | BigCode Benchmark Tool | cosmos, rag |
| Container | 1762438577 | Evaluation benchmark for Retrieval Augmented Generation | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/eval-tool-benchmark-rag"} |  | ngc | RAG Benchmark Tool | cosmos, rag |
| Container | 1762438577 | Evaluation benchmark using LM Eval Harness | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/eval-tool-benchmark-lm-eval-harness"} |  | ngc | LM Eval Harness Benchmark Tool | cosmos, rag |
| Container | 1762438575 | Framework for custom evaluation benchmarks | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/eval-tool-benchmark-custom-eval"} |  | ngc | Custom Evaluation Benchmark Tool | cosmos, rag |
| Model | 1780224339 | OneFormer - a unified AI model for multiple image segmentation tasks - trained on commercial data. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/oneformer_its_pretrained_commercial"} | TAO Toolkit | ngc | NVOneFormer Commercial | data_science |
| Model | 1780302123 | Fast-FoundationStereo Model | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/fast-foundationstereo"} | TAO Toolkit | ngc | Fast-FoundationStereo | data_science |
| Blog | 1780264155 | Developing autonomous vehicle (AV) policies requires bridging an important gap between training and deployment. Vision-language-action (VLA) models that can… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/how-to-post-train-autonomous-vehicle-models-in-closed-loop-with-nvidia-alpamayo/"} | Cosmos | techblog | How to Post-Train Autonomous Vehicle Models in Closed-Loop with NVIDIA Alpamayo | cosmos |
| Blog | 1780263838 | Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what’s… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/develop-physical-ai-reasoning-world-and-action-models-with-nvidia-cosmos-3/"} | Cosmos | techblog | Develop Physical AI Reasoning, World, and Action Models with NVIDIA Cosmos 3 | cosmos |
| Container | 1780495052 | NVIDIA NeMo Evaluator-compatible container with NeMo Gym support. Based on NeMo Gym available at: https://github.com/NVIDIA-NeMo/Gym | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/nemo-gym"} |  | ngc | NVIDIA NeMo Gym | generative_ai |
| Container | 1780555928 | NVIDIA NeMo Evaluator-compatible container with Sovereign Evals support. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/sovereign"} |  | ngc | NVIDIA Sovereign Evals | generative_ai |
| Blog | 1780401600 | AI agents are changing how you interact with your PC. Creators, developers, and AI enthusiasts are already using these agents extensively to assist with day-to… | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://developer.nvidia.com/blog/build-personal-ai-agents-on-windows-pcs-with-new-tools-from-microsoft-and-nvidia/"} | DGX, RTX GPU, TensorRT | techblog | Build Personal AI Agents on Windows PCs with New Tools from Microsoft and NVIDIA | deep_learning_performance |
| Model | 1680637889 | Contains files used in rmir creation | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/riva/models/speechsynthesis_en_us_auxiliary_files"} | Riva | ngc | Riva TTS English US Auxiliary Files | inference |
| Model | 1731434110 | LlaMa 2 is a large language AI model capable of generating text and code in response to prompts. | false | {} | Advanced | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/llama/models/llama2-13b"} |  | ngc | Llama2-13b Chat Int4 | inference |
| Container | 1780509377 | NVCF ClusterAgent (NVCA) is a self-installable micro-service that enables a compute backend, DGX Clouds or other NVIDIA Compute Backends to be used as an NVCF Target to host NVIDIA Cloud Functions’ instances. | false | {} | Intermediate | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nvcf-byoc/containers/nvca"} |  | ngc | NVCF ClusterAgent | inference |
| Collection | 1761234558 | The NVIDIA AI-Q Research Assistant Blueprint gives developers a foundational starting point for building a deep research assistant that can run on-premise, allowing anyone to create detailed research reports using on-premise data. | false | {} | Beginner | {"text" => "Learn more", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/blueprint/collections/ai-research-assistant-blueprint"} |  | ngc | AI-Q Research Assistant | rag |


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