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NVIDIA
NVIDIA® IGX Thor™ Developer Kit
NVIDIA IGX Thor™ Developer Kit
The Enterprise-Ready Development Platform for Physical AI
The NVIDIA IGX Thor™ Developer Kit accelerates industrial and medical edge innovation with real-time sensor processing, AI reasoning, and functional safety. It’s powered by an NVIDIA Blackwell architecture iGPU and optional dGPU, delivering up to 5581FP4 TFLOPS of AI compute to effortlessly run multiple generative AI models at the edge. Compared to the IGX Orin™ developer kit, it provides up to 8x higher AI compute on iGPU, 2.5x higher AI compute on dGPU, and 2x better connectivity.
The kit includes an IGX™ T7000 board with a Blackwell iGPU, a 14-core Arm® Neoverse®-V3AE CPU, a Board Management Controller (BMC) and ConnectX-7 SmartNIC with 400 GbE networking. It also supports an NVIDIA RTX PRO™ Blackwell dGPU designed to accelerate time-to-market. IGX Thor takes advantage of Transformer Engine and Multi-Instance GPU (MIG) support in the Blackwell architecture to deliver the performance to run multiple AI models with robust workload isolation. With Functional Safety Island (FSI) built into the Thor SoC and the on-board safety MCU, it seamlessly brings AI and safety into one single platform. It also includes a suite of accelerators, such as a third-generation Programmable Vision Accelerators (PVAs), dual encoders and decoders, an optical flow accelerator, and more.
IGX Thor represents a new class of enterprise edge and robotics computers, purpose-built to power the next generation of industrial and medical edge applications. Taking advantage of the NVIDIA Blackwell GPU architecture, it excels at generative reasoning and multimodal sensor processing, supporting a broad range of generative AI models—from Vision Language Action (VLA) models like NVIDIA Isaac™ GR00T N to popular LLMs and VLMs such as NVIDIA Cosmos™ Reason. It also delivers a seamless cloud-to-edge experience, running the NVIDIA AI Enterprise software stack and NVIDIA NIM for physical AI applications. These include NVIDIA Isaac for robotics, NVIDIA Metropolis for visual AI agents, and NVIDIA Holoscan for sensor processing. Industrial safety AI agents can also be deployed at the edge using the NVIDIA Halos Outside-in Safety Agent Blueprint.
Our ecosystem of partners provides a complete range of carrier boards, design services, cameras, and sensors, along with AI and system software to speed solution development. They also support accelerating medical certifications (IEC 60601, 62304) and industrial functional safety certifications (ISO 26262, IEC 61508), helping you bring products to market faster and with confidence.
With enterprise-level software, massive AI compute, and network security, IGX Thor is ideal for advancing medical imaging, surgical robotics, humanoid robotics, industrial AI automation, high-performance computing, and beyond. As an enterprise-ready platform, IGX Thor enables companies to focus on application development and accelerate the realization of AI’s benefits.
The kit includes an IGX™ T7000 board with a Blackwell iGPU, a 14-core Arm® Neoverse®-V3AE CPU, a Board Management Controller (BMC) and ConnectX-7 SmartNIC with 400 GbE networking. It also supports an NVIDIA RTX PRO™ Blackwell dGPU designed to accelerate time-to-market. IGX Thor takes advantage of Transformer Engine and Multi-Instance GPU (MIG) support in the Blackwell architecture to deliver the performance to run multiple AI models with robust workload isolation. With Functional Safety Island (FSI) built into the Thor SoC and the on-board safety MCU, it seamlessly brings AI and safety into one single platform. It also includes a suite of accelerators, such as a third-generation Programmable Vision Accelerators (PVAs), dual encoders and decoders, an optical flow accelerator, and more.
IGX Thor represents a new class of enterprise edge and robotics computers, purpose-built to power the next generation of industrial and medical edge applications. Taking advantage of the NVIDIA Blackwell GPU architecture, it excels at generative reasoning and multimodal sensor processing, supporting a broad range of generative AI models—from Vision Language Action (VLA) models like NVIDIA Isaac™ GR00T N to popular LLMs and VLMs such as NVIDIA Cosmos™ Reason. It also delivers a seamless cloud-to-edge experience, running the NVIDIA AI Enterprise software stack and NVIDIA NIM for physical AI applications. These include NVIDIA Isaac for robotics, NVIDIA Metropolis for visual AI agents, and NVIDIA Holoscan for sensor processing. Industrial safety AI agents can also be deployed at the edge using the NVIDIA Halos Outside-in Safety Agent Blueprint.
Our ecosystem of partners provides a complete range of carrier boards, design services, cameras, and sensors, along with AI and system software to speed solution development. They also support accelerating medical certifications (IEC 60601, 62304) and industrial functional safety certifications (ISO 26262, IEC 61508), helping you bring products to market faster and with confidence.
With enterprise-level software, massive AI compute, and network security, IGX Thor is ideal for advancing medical imaging, surgical robotics, humanoid robotics, industrial AI automation, high-performance computing, and beyond. As an enterprise-ready platform, IGX Thor enables companies to focus on application development and accelerate the realization of AI’s benefits.
Technical Specifications
| NVIDIA IGX Thor Developer Kit | ||
|---|---|---|
| dGPU Option | With NVIDIA RTX PRO™ 6000 Blackwell Max-Q Workstation Edition | With NVIDIA RTX PRO™ 5000 Blackwell |
| AI Performance | Up to 5,581 TFLOPS (FP4-Sparse) | Up to 4,293 TFLOPS (FP4-Sparse) |
| iGPU | 2,560-core NVIDIA Blackwell architecture GPU with 96 fifth-generation Tensor Cores Multi-Instance GPU with 10 TPCs |
2,560-core NVIDIA Blackwell architecture GPU with 96 fifth-generation Tensor Cores Multi-Instance GPU with 10 TPCs |
| iGPU Max Frequency | 1.57 GHz | 1.57 GHz |
| dGPU | 24,064-core Blackwell architecture GPU with fifth-generation Tensor Cores | 14,080-core Blackwell architecture GPU with fifth-generation Tensor Cores |
| CPU | 14-core Arm Neoverse-V3AE 64-bit CPU 64 KB I-cache, 64 KB dCache 1 MB L2 cache per core 16 MB shared system L3 cache |
14-core Arm Neoverse-V3AE 64-bit CPU 64 KB I-cache, 64 KB dCache 1 MB L2 cache per core 16 MB shared system L3 cache |
| CPU Max Frequency | 2.6 GHz | 2.6 GHz |
| Vision Accelerator | 1x PVA v3 | 1x PVA v3 |
| Memory | 128 GB 256-bit LPDDR5X | 273 GB/s 96 GB dGPU memory | 1,792 GB/s |
128 GB 256-bit LPDDR5X | 273 GB/s 48 GB dGPU memory | 1,344 GB/s |
| Storage | 1 TB M.2 NVMe (PCIE Gen5 x2) | 1 TB M.2 NVMe (PCIE Gen5 x2) |
| Video Encode | 2x NVEncode (iGPU) 4x NVEncode (dGPU) |
2x NVEncode (iGPU) 3x NVEncode (dGPU) |
| Video Decode | 2x NVDecode (iGPU) 4x NVDecode (dGPU) |
2x NVDecode (iGPU) 3x NVDecode (dGPU) |
| PCIe | 2x PCIe Gen5 (x8, x16) | 2x PCIe Gen5 (x8, x16) |
| USB | 1x USB 3.2 gen 2 type C connector 4x USB 3.2 gen 2 type A connectors |
1x USB 3.2 gen 2 type C connector 4x USB 3.2 gen 2 type A connectors |
| Networking | 2x RJ45 (1GbE each) 2x QSFP28 (200GbE each) |
2x RJ45 (1GbE each) 2x QSFP28 (200GbE each) |
| ConnectX Support | Yes | Yes |
| Display | DisplayPort 1.4a output | DisplayPort 1.4a output |
| Other I/O | 1x FSI CAN Audio Line-out, MIC in |
1x FSI CAN Audio Line-out, MIC in |
| BMC | Yes | Yes |
| Functional Safety | Functional Safety Island on SoC Safety MCU on the carrier board |
Functional Safety Island on SoC Safety MCU on the carrier board |
| NVDIA AI Enterprise Support | Yes | Yes |
| Power | 40 W–130 W TMP Up to 300 W for dGPU |
40 W–130 W TMP Up to 300 W for dGPU |
| Mechanical | 262.70 mm × 382.70mm × 151.20mm | 262.70 mm × 382.70mm × 151.20mm |
*NVIDIA Authorized Distributor
