In this video from CES 2019, AMD President and CEO Dr. Lisa Su describes how the new AMD EPYC processors are changing the game for High Performance Computing. “This is an incredible time to be in technology as the industry pushes the envelope on high-performance computing to solve the biggest challenges we face together,” said Su. “At AMD, we made big bets several years ago to accelerate the pace of innovation for high-performance computing, and 2019 will be an inflection point for the industry as we bring these new products to market.”
AMD Speeds HPC and Ai with EPYC Processors and Radeon GPUs
December 2, 2018 by
In this video from SC18, Derek Bouius from AMD describes how the company’s new EPYC processors and Radeon GPUs can speed HPC and Ai applications. “It’s been a fantastic year in the supercomputing space as we further expanded the ecosystem for AMD EPYC processors while securing multiple wins that leverage the benefits AMD EPYC processors have on HPC workloads,’ said Mark Papermaster, senior vice president and chief technology officer, AMD. ‘As the HPC industry approaches exascale systems, we’re at the beginning of a new era of heterogeneous compute that requires a combination of CPU, GPU and software that only AMD can deliver. We’re excited to have fantastic customers leading the charge with our Radeon Instinct accelerators, AMD EPYC processors and the ROCm open software platform.”
Atos Adds AMD processors to BullSequana X Line of Supercomputers
November 21, 2018 by
Last week at SC18, Atos announced support for AMD EPYC processors in its upcoming BullSequana X range of supercomputers. The next generation AMD EPYC processor (codenamed Rome) is expected to be available in Atos’ new BullSequana XH2000 liquid cooled supercomputer in 2019.
Video: AMD HPC Update
June 14, 2018 by
Jay Owen from AMD gave this talk at the HPC User Forum in Tucson. “With the introduction of new EPYC processor based servers with Radeon Instinct GPU accelerators, combined with our ROCm open software platform, AMD is ushering in a new era of heterogeneous compute for HPC and Deep Learning. Truly accelerating the pace of deep learning and addressing the broad needs of the datacenter requires a combination of high performance compute and GPU acceleration optimized for handling massive amounts of data with lots of floating point computation that can be spread across many cores.”
HPC Processor Competition Heats Up
February 14, 2018 by
In this special guest feature, Robert Roe from Scientific Computing World explores efforts to diversify the HPC processor market. “With the arrival of Arm and now the reintroduction of AMD to HPC, there are signs of new life in an HPC processor market that has been dominated by Intel Xeon processors for a number of years.”
Microsoft Azure Becomes First Global Cloud Provider to Deploy AMD EPYC
December 6, 2017 by
Today AMD announced the first public cloud instances powered by the AMD EPYC processor. Microsoft Azure has deployed AMD EPYC processors in its datacenters in advance of preview for its latest L-Series of Virtual Machines (VM) for storage optimized workloads. The Lv2 VM family will take advantage of the high-core count and connectivity support of […]
BOXX rolls out AMD EPYC Deep Learning Server at SC17
November 17, 2017 by
This week at SC17, BOXX Technologies debuted the new GX8-M server, featuring dual AMD EPYC 7000-series processors, eight full-size AMD or NVIDIA graphics cards, and other innovative features designed to accelerate high performance computing applications. “BOXX is taking the lead with deep learning solutions like the GX8-M which enables users to boost high performance computing application performance and accelerate their workflows like never before.”
AMD Delivers ‘Supercomputing for All’ at SC17
November 15, 2017 by
At SC17 in Denver, AMD and its ecosystem partners announced at SC17 immediate availability of a suite of new, high performance systems powered by AMD EPYC CPUs and AMD Radeon Instinct GPUs to accelerate innovation in supercomputing. “Target workloads for AMD solutions include machine learning, weather modeling, computational fluid dynamics, simulation and crash analysis in aviation and automotive manufacturing, oil and gas exploration, and more.”
