In this sponsored post by our friends over at AMD, we take a deep into how GPUs have become an essential component of innovative organizations that require the highest performing clusters, whether one server or thousands of servers. Many High-Performance Computing (HPC) and Machine Learning (ML) applications have demonstrated tremendous performance gains by using one or more GPUs in conjunction with powerful CPUs. Over 25% of the Top500 list of the most powerful supercomputers on this planet use accelerators, specifically GPUs, to achieve teraflop and petaflop speeds.
AMD COVID-19 HPC Fund Adds 18 Institutions and 5 Petaflops of Supercomputer Processing Power to Assist Researchers Fighting COVID-19 Pandemic
September 14, 2020 by Leave a Comment
SANTA CLARA, Calif. — Sept. 14, 2020 — AMD (NASDAQ: AMD) today announced a second round of high-performance technology contributions to assist in the global fight against the COVID-19 pandemic. AMD is now contributing high-end computing systems or access to Penguin-On-Demand (POD) cloud-based clusters powered by 2nd Gen AMD EPYCTM and AMD Radeon Instinct processors […]
Lenovo Data Center Group Releases Cloud-Based Business Agility Solutions for the New, Smarter Normal
September 3, 2020 by Leave a Comment
Sept. 3, 2020 – Research Triangle Park, NC – Today, Lenovo Data Center Group (DCG) announces a range of new and updated hyperconverged infrastructure (HCI) solutions and Lenovo Cloud Services to enable customers to keep pace with evolving business needs. As remote work becomes the new, smarter normal, businesses need to adapt their hybrid cloud […]
Radio Free HPC: Is Amazon’s Graviton2 Ready for Prime (Time)?
August 22, 2020 by Leave a Comment
The show starts on a high note, with Henry’s audio being amazingly echo free. Usually we hear a lot of echo as Henry talks, which is due to the rammed earth walls of his new abode, plus the fact that there isn’t any carpeting or anything else to absorb his nasal tones. But somehow Henry […]
Another Intel 7nm Chip Delay – What Does it Mean for Aurora Exascale?
July 24, 2020 by 1 Comment
The saga of Intel’s inabilities to deliver a 7nm process chip and a supercomputer called Aurora to Argonne National Laboratory opened new chapters yesterday with Intel CEO Bob Swan’s statements that the company’s 7nm “Ponte Vecchio” GPU, integral to its Aurora exascale system scheduled for delivery next year, will be delayed at least six months. […]
Purdue’s ‘Anvil’ to Be Driven by Dell, AMD ‘Milan’ CPUs, Nvidia A100 Tensor Core GPUs
June 8, 2020 by
Another in a series of National Science Foundation supercomputing awards has been announced, this one a $10 million funding for a system to be housed at Purdue University to support HPC and AI workloads and scheduled to enter production next year. The system, dubbed Anvil, will be built in partnership with Dell and AMD and […]
Interview: Mark Papermaster, CTO and EVP, Technology and Engineering, AMD
June 3, 2020 by
In this interview, Mark Papermaster, CTO and EVP, Technology and Engineering from AMD describes the company’s presence in the HPC space along with new trends in the industry. At a higher level, Mark also offers his views of the semiconductor industry in general as well as areas of innovation that AMD plans to cultivate. The discussion then turns to the exascale era of computing.
Liqid, Dell, and AMD power Industry’s Fastest Single-socket Storage Server
May 17, 2020 by
Today Liqid announced that it has worked with industry leaders AMD and Dell Technologies to deliver one of the fastest one-socket storage rack servers on the market. “Liqid’s composable Gen-4 PCI-Express (PCIe) fabric technology, the LQD4500, is coupled with the AMD EPYC 7002 Series Processors, and enclosed in Dell Technologies’ industry-leading Dell EMC PowerEdge R7515 Rack Server to deliver an architecture designed for the most demanding next-generation, AI-driven HPC application environments.”
Perlmutter supercomputer to include more than 6000 NVIDIA A100 processors
May 15, 2020 by
NERSC is among the early adopters of the new NVIDIA A100 Tensor Core GPU processor announced by NVIDIA this week. More than 6,000 of the A100 chips will be included in NERSC’s next-generation Perlmutter system, which is based on an HPE Cray Shasta supercomputer that will be deployed at Lawrence Berkeley National Laboratory later this year. “Nearly half of the workload running at NERSC is poised to take advantage of GPU acceleration, and NERSC, HPE, and NVIDIA have been working together over the last two years to help the scientific community prepare to leverage GPUs for a broad range of research workloads.”
AMD Wins Slot in Latest NVIDIA A100 Machine Learning System
May 15, 2020 by
Today AMD demonstrated continued momentum in HPC with NVIDIA’s announcement that 2nd Generation AMD EPYC 7742 processors will power their new DGX A100 dedicated AI and Machine Learning system. AMD has an impressive set of HPC wins in the past year, and has been chosen by the DOE to power two pending exascale-class supercomputers, Frontier and El Capitan. “2nd Gen AMD EPYC processors are the first and only current x86-architecture server processor supporting PCIe 4.0, providing up to 128 lanes of I/O, per processor for high performance computing and connections to other devices like GPUs.”
