A happy December 9 to you! Here’s a quick (7:23) review of news from the world of HPC-AI: Potential whys and wherefores of Pat Gelsinger exit from Intel, Marvell-AWS custom AI chip alliance, China comes out of the shadows ….
HPC News Bytes 20241209: Gelsinger’s Intel Exit, Marvell’s Rising Star, Quantum in China
December 9, 2024 by
AWS Announces EC2 UltraCluster and GA of Trainium2 Instances
December 3, 2024 by
LAS VEGAS, Dec. 3, 2024 — At AWS re:Invent, Amazon Web Services today announced the general availability of AWS Trainium2-powered Amazon Elastic Compute Cloud (Amazon EC2) instances, introduced new Trn2 UltraServers, enabling customers to train ….
Red Hat Signs Agreement with AWS for Virtualization and AI in Hybrid Cloud
December 2, 2024 by
RALEIGH, N.C. – Dec. 2, 2024 — Red Hat, Inc., open source solutions provider, today announced it has signed a collaboration agreement with Amazon Web Services (AWS) to scale availability of Red Hat open source solutions in AWS Marketplace, building upon the two companies’ long-standing relationship. Red Hat intends to help organizations with leading hybrid cloud platforms, […]
Qumulo Announces Cloud Native Unstructured Data System on AWS
September 10, 2024 by
SEATTLE – 10 September 2024 – Cloud data platforms company Qumulo today announced the availability of Cloud Native Qumulo (CNQ) on Amazon Web Services. This release delivers a multi-protocol system designed to manage unstructured data with superior performance, scalability, flexibility, and cost efficiency. Now publicly available on AWS, CNQ is set to revolutionize enterprise data […]
Open Compute Project Foundation and Hyperscalers to Trial Low-Carbon ‘Green Concrete’
August 21, 2024 by
AUSTIN, Texas, Aug. 20, 2024 — Today, the Open Compute Project Foundation (OCP) announces a collaboration to test development and deployment of low-embodied carbon concrete or “green concrete.” While numerous emerging technologies exist to achieve production of low carbon concrete, adoption has not yet scaled. This proactive and collaborative demonstration project is an important step towards […]
HPC News Bytes 20240617: Controlling AI, Big Tech Invests in Taiwan, A Step for Specialty AI Chips, Alternative Energy for AI Data Centers, Apple Silicon
June 17, 2024 by
A happy summer solstice week to you! The HPC-AI ecosystem produced a raft of news and insights over the past week, here’s a rapid (7:59) review: New paper in Science on controlling AI from an all-star lineup of strategists, Big Tech invests in Taiwan, Chip Wars; AI chip landscape, specialty AI chips take a step forward, AI data centers seek new energy sources, Apple silicon in the data center?
Amazon Adds $2.75B to Stake in GenAI Startup Anthropic
March 27, 2024 by
Amazon announced it has made its biggest-ever investment, $2.75 billion, in OpenAI/Chat-GPT competitor Anthropic, another indication that the generative AI phenomenon continues to heat up. Today’s news follows Amazon and Anthropic announcing an earlier $1.25 billion investment last September – the announcement today brings the total investment to $4 billion. “We have a notable history with […]
Energy efficiency drives HPC to the cloud
March 13, 2024 by Leave a Comment
The high-performance computing (HPC) market is witnessing a notable shift towards the cloud, partially driven by the benefits of enhanced energy efficiency. According to Hyperion Research nearly every organization running HPC workloads is either already using or investigating the cloud to accelerate application performance, with the cloud market for HPC workloads forecast to reach $11.5 […]
Accelerated HPC for Energy Efficiency with AWS and NVIDIA
February 20, 2024 by
Many industries are starting to run HPC in the cloud. Find out how GPU-accelerated compute, from AWS and NVIDIA, is helping organizations run HPC workloads and AI/ML jobs faster, in a more energy-efficient way.
GPU-powered HPC Workloads in the Cloud with AWS and NVIDIA
January 22, 2024 by
[SPONSORED GUEST ARTICLE] Across industries cloud-based high performance computing (HPC) is on the rise. Find out from AWS and NVIDIA how GPU-accelerated compute is helping organizations run more HPC workloads and AI/ML jobs faster, in a more energy-efficient way.
