A happy Monday of Leap Year Week to you! We offer a rapid run-through of the latest in HPC-AI, including: Intel Foundry bash, Gelsinger talks up the “Systems Foundry Era,” Wall Street hangs on Nvidia earnings, AI Training vs Inference, Digitial In-Memory Computing for inference efficiency, HPC in space, ISC 2024.
HPC News Bytes 20240226: Intel Foundry Bash, Nvidia Earnings and AI Inference, HPC in Space, ISC 2024
February 26, 2024 by
In-Memory Computing Could Be an AI Inference Breakthrough
February 22, 2024 by
[CONTRIBUTED THOUGHT PIECE] In-memory computing promises to revolutionize AI inference. Given the rapid adoption of generative AI, it makes sense to pursue a new approach to reduce cost and power consumption by bringing compute in memory and improving performance.
GridGain 8.8 Advances Its Multi-Tier Database Engine to Scale Beyond Available Memory Capacity and Meet Growing Customer Demand
January 16, 2021 by
GridGain® Systems, provider of enterprise-grade in-memory computing solutions powered by the Apache® Ignite® distributed database, announced GridGain 8.8, the latest release of the company’s in-memory computing platform. The release features enhanced support for GridGain’s multi-tier database engine, which scales up and out across memory and disk.
Radio Free HPC: The Persistence of Memory
July 15, 2020 by
In this episode, we drill down on what Intel is doing with their cool Optane memory tech, shooting for speeds that remind you of memory, sizes that look like storage, and costs that make it look like a deal, with real byte-addressable persistent memory right inside the server – or block-addressable, if you want. This is a space that was bound to get filled and we’ve been watching the industry’s progress.
Call for Papers for In-Memory Computing Summit 2020
July 9, 2020 by
FOSTER CITY, Calif., July 09, 2020 — GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache Ignite, today announced the call for papers for the In-Memory Computing Summit 2020 virtual worldwide conference, a free conference October 28-29. The Call for Papers for the virtual conference closes August 28, 2020. Organized by GridGain Systems, […]
2020 Predictions from Radio Free HPC
January 16, 2020 by
In this podcast, the Radio Free HPC team lays out their tech predictions for 2020. “Henry predicts that we’ll see a RISC-V based supercomputer on the TOP500 list by the end of 2020 – gutsy call on that. This is a double down on a bet that Dan and Henry have, so he’s reinforcing his position. Dan also sees 2020 as the “Year of the FPGA.”
ActiveViam Launches its Data Lab to Help Companies Find Insights into their Future
October 13, 2019 by
ActiveViam, a leader of in-memory analytics solutions for operational decision making, announced the creation, within the company, of a new entity specialized in Data Science. This Data Lab, attached to the R&D department of ActiveViam Paris, is dedicated to enhancing the forecasting capacity of its customers and prospects by providing them with richer insights into their markets, operations and customers.
Hazelcast Enhances Open Source Ecosystems with In-Memory Speed
October 1, 2019 by
Hazelcast, a leading in-memory computing platform that delivers the System of Now™, unveiled new third-party integrations with connectors to accelerate and expand the streaming ecosystem and capabilities for data-centric enterprises. The Hazelcast in-memory computing platform uniquely integrates proven data grid technology with next-generation event stream processing capabilities. The extremely lightweight footprint allows enterprises to accelerate their business applications on any cloud or edge device, in addition to on-premises data centers.
Distributed Data Caching For Big Data
March 27, 2019 by
In this contributed article, Neeraj Murarka, CTO & Co-founder of Bluzelle, discusses distributed data caching techniques design for big data. The importance of a cache is self-evident: it reduces the strain on a database by positioning itself as an intermediary layer between the database and the end users – broadly speaking, it will transfer data from a low-performance location to a higher-performance location.
GridGain® Professional Edition 2.7 Introduces TensorFlow Integration, Enhanced Usability, Transparent Data Encryption at Rest
December 16, 2018 by
GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache® Ignite™, announced the immediate availability of GridGain Professional Edition 2.7, a fully supported version of Apache Ignite 2.7. GridGain Professional Edition 2.7 introduces TensorFlow™ integration for enhanced training of deep learning (DL) models.
