A happy mid-September morning to you. Here’s a hop (4:54) through recent HPC news, including: AMD launches EPYC 8004 CPUs for energy- and space-constrained workloads; Intel announces FPGAs going into its Innovation 2023 event; Arm’s successful IPO and strategic pivot; a report on AI for science….
HPC News Bytes 20230918: New AMD CPUs and Intel FPGAs, Arm’s IPO and Strategic Pivot, AI for Science
September 18, 2023 by Leave a Comment
Astera Labs Launches Cloud-Scale Interop Lab for CXL Solutions at Scale
January 31, 2023 by
SANTA CLARA, CA – January 31, 2022 – Astera Labs, maker of connectivity solutions, today announced the expansion of its Cloud-Scale Interop Lab designed to provide robust interoperability testing between its Leo Memory Connectivity Platform and an ecosystem of CXL-based CPUs, memory modules, and operating systems. “Compute Express Link (CXL) is proving to be a […]
Intel Architecture Day: Details Revealed on Sapphire Rapids and ‘Powered on’ Ponte Vecchio
August 19, 2021 by
Harried data center and HPC server market dominator Intel today unveiled what the company said is its biggest shifts in Intel architectures in a generation. The Architecture Day event included looks at the two chips that will power the delayed Aurora exascale supercomputer, to be installed at Argonne National Laboratory; those chips are: Sapphire Rapids, […]
Arm Releases Details on 2 Neoverse Platforms and Mesh Interconnect for HPC, ML
April 27, 2021 by
Arm Holdings this morning released information on two new compute platforms and an interconnect for HPC, machine learning and other workloads introduced last September: The Arm Neoverse V1 platform is a new computing tier for Arm and the first Arm-designed core to support Scalable Vector Extension (SVE), delivering 50 percent more performance for HPC and […]
Rice Univ. Researchers Claim 15x AI Model Training Speed-up Using CPUs
April 23, 2021 by
Reports are circulating in AI circles that researchers from Rice University claim a breakthrough in AI model training acceleration – without using accelerators. Running AI software on commodity x86 CPUs, the Rice computer science team say neural networks can be trained 15x faster than platforms utilizing GPUs. If valid, the new approach would be a double boon for organizations implementing AI strategies: faster model training using less costly microprocessors.
AMD Launches 7nm ‘Milan’ EPYC Chips, Ups Price/Performance Ante for HPC, Data Center CPUs
March 15, 2021 by
Striving to continue on its path back to HPC and data center processor market prominence, AMD this morning introduced a new series of EPYC “Milan” CPUs that industry analysts and customers say looks to be a price/performance juggernaut. The EPYC 7003 series (SKUs below), designed by AMD and fabricated using Taiwan Semiconductor Manufacturing Co.’s 7-nanometer […]
UK Antitrust Agency to Probe Nvidia Acquisition of Arm
January 7, 2021 by
Nvidia’s intended acquisition of chip maker Arm from SoftBank, the biggest tech deal of 2020 and one with major implications for HPC and AI, is now under investigation by British regulators. A story in today’s Wall Street Journal by Stu Woo reported that the UK’s Competition and Markets Authority (CMA) said “it was inviting third […]
