NVIDIA dropped its attempted acquisition of Arm Ltd. earlier this year, but it remains an Arm technology licensee. And today, in a bid to take on the x86 architecture’s long dominance in data center server chips, the company announced its first Arm Neoverse-based data center CPU “designed for AI infrastructure and high performance computing, providing […]
Search Results for: CPU
GIGABYTE Introduces Direct Liquid Cooled Servers Powered by NVIDIA for Baseboard Accelerators and CPUs
February 25, 2022 by
February 24th 2022 – GIGABYTE Technology, (TWSE: 2376), an industry leader in high-performance servers and workstations, today introduced two new liquid cooled HPC and AI training servers, G262-ZL0 and G492-ZL2, that can push the NVIDIA HGX A100 accelerators and AMD EPYC 7003 processors to the limit with enterprise-grade liquid cooling. To prevent overheating and server […]
Deeplite Accelerates AI on Arm CPUs Using Ultra-Compact Quantization
January 4, 2022 by
Deeplite, a provider of AI optimization software designed to make AI model inference faster, more compact and energy-efficient, today announced Deeplite Runtime (DeepliteRT), a new addition to its platform that makes AI models even smaller and faster in production deployment, without compromising accuracy. Customers will benefit from lower power consumption, reduced costs and the ability to utilize existing Arm CPUs to run AI models.
Azure: HBv3 VMs for HPC up to 80% Faster with AMD Milan-X CPUs
November 9, 2021 by
Microsoft Azure has announced that a preview is now live for Azure HBv3 virtual machines powered by 3rd Gen AMD EPYC processors with AMD 3D V-cache, codenamed “Milan-X.” The processors significantly improve the performance, scaling efficiency, and cost-effectiveness of a variety of memory performance-bound workloads, such as CFD, explicit finite element analysis, computational geoscience, weather […]
AMD Targets HPC-AI for 30x CPU-GPU Energy Efficiency Boost by 2025
September 29, 2021 by
AMD (NASDAQ: AMD) today announced a goal to deliver a 30x increase in energy efficiency for AMD EPYC CPUs and AMD Instinct GPU accelerators used in artificial intelligence (AI) training and high performance computing (HPC) applications by 2025.1 Achieving this will will require AMD to increase the energy efficiency of a compute node at a rate that […]
Argonne Picks AMD EPYC CPUs for Polaris
August 30, 2021 by
Santa Clara — Aug. 30, 2021 — AMD today announced that the U.S. Department of Energy’s (DOE) Argonne National Laboratory has chosen AMD EPYC processors to power the Polaris supercomputer (see earlier coverage), which will prepare researchers for the forthcoming exascale HPC system at Argonne called Aurora. Polaris will use 2nd Gen EPYC processors and then upgrade to 3rd Gen […]
Double-precision CPUs vs. Single-precision GPUs; HPL vs. HPL-AI HPC Benchmarks; Traditional vs. AI Supercomputers
July 20, 2021 by
If you’ve wondered why GPUs are faster than CPUs, in part it’s because GPUs are asked to do less – or, to be more precise, to be less precise. Next question: So if GPUs are faster than CPUs, why aren’t GPUs the mainstream, baseline processor used in HPC server clusters? Again, in part it gets […]
Spend Less on HPC/AI Storage (and more on CPU/GPU compute)
July 19, 2021 by
[SPONSORED POST] In this whitepaper courtesy of HPE, you’ll learn about the three approaches that can help you to feed your CPU- and GPU-accelerated compute nodes without I/O bottlenecks while creating efficiencies in Gartner’s Run category. As the market share leader in HPC servers, HPE saw the convergence of classic modeling and simulation with AI methods such as machine learning and deep learning coming and now offers you a new portfolio of parallel HPC/AI storage systems that are purpose engineered to address all of the previously mentioned challenges—in a cost-effective way.
At Virtual ISC 2021: AMD Talks EPYC 7nm CPUs, Instinct GPUs, in HPC
June 24, 2021 by
At virtual ISC 2021, we sat down with Brock Taylor, AMD’s global HPC solutions director, to talk about the HPC community’s response to AMD’s launch last March of its EPYC 7003 Series 7nm CPUs and to its Radeon Instinct GPUs – including the implementation of both in exascale-class supercomputers to be installed at U.S. national […]
Exascale Computing Project: RAJA Portability Suite Enables Performance Portable CPU and GPU HPC Codes
June 2, 2021 by
A growing number of HPC applications must deliver high performance on CPU and GPU hardware platforms. One software tool available now and showing tremendous promise for the exascale era is the open-source RAJA Portability Suite. RAJA is part of the Exascale Computing Project (ECP) NNSA software portfolio and is also supported by the ECP Programming Models and Runtimes area.
