SC19 -- NVIDIA today introduced a reference
design platform that enables companies to quickly build
GPU-accelerated Arm®-based servers, driving a new era of high
performance computing for a growing range of applications in
science and industry.
Announced by NVIDIA founder and CEO Jensen Huang at the SC19
supercomputing conference, the reference design platform —
consisting of hardware and software building blocks — responds to
growing demand in the HPC community to harness a broader range of
CPU architectures. It allows supercomputing centers,
hyperscale-cloud operators and enterprises to combine the advantage
of NVIDIA’s accelerated computing platform with the latest
Arm-based server platforms.
To build the reference platform, NVIDIA is teaming with Arm and
its ecosystem partners — including Ampere, Fujitsu and Marvell — to
ensure NVIDIA GPUs can work seamlessly with Arm-based processors.
The reference platform also benefits from strong collaboration with
Cray, a Hewlett Packard Enterprise company, and HPE, two early
providers of Arm-based servers. Additionally, a wide range of HPC
software companies have used NVIDIA CUDA-X™ libraries to build
GPU-enabled management and monitoring tools that run on Arm-based
servers.
“There is a renaissance in high performance computing,” Huang
said. “Breakthroughs in machine learning and AI are redefining
scientific methods and enabling exciting opportunities for new
architectures. Bringing NVIDIA GPUs to Arm opens the floodgates for
innovators to create systems for growing new applications from
hyperscale-cloud to exascale supercomputing and beyond.”
Rene Haas, president of the IP Products Group at Arm, said: “Arm
is working with ecosystem partners to deliver unprecedented
performance and efficiency for exascale-class Arm-based SoCs.
Collaborating with NVIDIA to bring CUDA acceleration to the Arm
architecture is a key milestone for the HPC community, which is
already deploying Arm technology to address some of the world’s
most complex research challenges and driving further advances in
the embedded, automotive and edge segments.”
The reference platform’s debut follows NVIDIA’s announcement
earlier this year that it will bring its CUDA-X software platform
to Arm. Fulfilling this promise, NVIDIA is making available as a
preview its Arm-compatible software development kit, consisting of
NVIDIA CUDA-X libraries and development tools for accelerated
computing.
Collaboration with Broader HPC EcosystemIn
addition to making its own software compatible with Arm, NVIDIA is
working closely with its broad ecosystem of developers to bring GPU
acceleration to Arm for HPC applications such as GROMACS, LAMMPS,
MILC, NAMD, Quantum Espresso and Relion. NVIDIA and its
HPC-application ecosystem partners have compiled extensive code to
bring GPU acceleration to their applications on the Arm
platform.
To enable the Arm ecosystem, NVIDIA collaborated with leading
Linux distributors Canonical, Red Hat, Inc., and SUSE, as well as
the industry’s leading providers of essential HPC tools.
World-leading supercomputing centers have begun testing
GPU-accelerated Arm-based computing systems. This includes Oak
Ridge and Sandia National Laboratories, in the United States; the
University of Bristol, in the United Kingdom; and Riken, in
Japan.
Ecosystem Support“Ampere is thrilled to be
collaborating with NVIDIA to develop GPU-based acceleration
solutions that will seamlessly work with our high-performance and
power-efficient Ampere server processors. Our new products will
provide our customers with the flexibility to choose the optimal
NVIDIA GPU accelerator to efficiently run their most demanding
workloads from cloud to edge.” — Renee James, chairman and CEO,
Ampere Computing
“It is great to see the quick progress NVIDIA has made bringing
CUDA and OpenACC to Arm servers. We’re very keen to work closely
with NVIDIA and others to compile, profile and debug accelerated
applications on this architecture. Our work to date with our
4,096-core Arm system has shown the strength of this collaborative
approach.”— Professor Mark Parsons, director, EPCC
“NVIDIA is a welcome and important member of the growing Arm
ecosystem. Fujitsu believes NVIDIA will expand the Arm ecosystem
and help ensure that customers have more choice for high
performance computing and data science, particularly for AI, as we
move into the new era of computing.”— Takeshi Horie, corporate
executive officer, vice head of Service Platform Business Group,
Fujitsu
“Through our close collaboration with NVIDIA, customers
deploying Marvell ThunderX2-based servers will now have access to
the full suite of NVIDIA’s GPU-accelerated software, marking an
important milestone in the availability of accelerated computing
for the Arm ecosystem. Together, we continue to drive new levels of
energy-efficiency while delivering uncompromised performance for a
multitude of supercomputing and AI applications for the exascale
era.”— Gopal Hegde, vice president and general manager, Server
Processor Business Unit, Marvell Semiconductor, Inc.
“With the help of HPE, Marvell and NVIDIA, we’re excited to see
how quickly our Oak Ridge National Laboratory-led effort could
upgrade our Arm test-bed system, pull together performance testing,
and get positive results. In just two weeks we were able to compile
and correctly run approximately eight leadership-class
applications, three important community libraries, and benchmark
suites frequently used for evaluating the Arm-HPC ecosystem. Based
on early results, the functionality of this Arm-hosted accelerated
computing ecosystem appears to be already on par with the POWER and
x86 environments. It’s a terrific beginning for an accelerated
computing ecosystem within Arm.”— Jack C. Wells, director of
science, National Center for Computational Sciences, Oak Ridge
National Laboratory
“We’ve had a long history of collaboration with NVIDIA. It’s
exciting to see the company delivering on its promise to bring its
leading CUDA-X software stack and ecosystem to the Arm HPC
community. We’ve started evaluating Riken’s codes on NVIDIA’s
GPU-accelerated Arm system and feel it will drive innovation for a
new wave of HPC and AI converged workloads in Japan.”— Satoshi
Matsuoka, director, Riken
“With NVIDIA’s newly added support for Arm host CPUs, Kokkos and
LAMMPS worked out of the box. The results met our expectations and
are in line with our experience deploying NVIDIA GPUs in systems
with x86-based CPUs.”— Christian Trott, principal member, Technical
Staff, Sandia National Laboratories
“NVIDIA’s Arm-based software stack is really solid straight out
of the box. In the past we’ve made extensive use of Arm and NVIDIA
platforms separately, but being able to combine them is an exciting
prospect for us. Performance of NVIDIA’s GPU drivers on Arm is
really good, comparable with the x86 platforms we tried, which is
an impressive achievement in such a short time period.”— Simon
McIntosh-Smith, professor of high performance computing, University
of Bristol
About NVIDIA NVIDIA’s (NASDAQ: NVDA) invention
of the GPU in 1999 sparked the growth of the PC gaming market,
redefined modern computer graphics and revolutionized parallel
computing. More recently, GPU deep learning ignited modern AI — the
next era of computing — with the GPU acting as the brain of
computers, robots and self-driving cars that can perceive and
understand the world. More information at
http://nvidianews.nvidia.com/.
For further information, contact:Kristin
UchiyamaNVIDIASenior PR
Manager+1-408-313-0448kuchiyama@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: the benefits and impact of a
reference design platform for building GPU-accelerated Arm-based
servers, breakthroughs in machine learning and AI, bringing NVIDIA
GPUs and GPU-accelerated applications to Arm, and NVIDIA’s
collaboration with Arm and its ecosystem partners; a renaissance in
high performance computing; the HPC community deploying Arm
technology to address complex research challenges and driving
further advances; NVIDIA bringing its CUDA-X software platform to
Arm; and Fujitsu’s belief that NVIDIA will expand the Arm ecosystem
and help ensure that customers have more choice for high
performance computing and data science are forward-looking
statements that are subject to risks and uncertainties that could
cause results to be materially different than expectations.
Important factors that could cause actual results to differ
materially include: global economic conditions; our reliance on
third parties to manufacture, assemble, package and test our
products; the impact of technological development and competition;
development of new products and technologies or enhancements to our
existing product and technologies; market acceptance of our
products or our partners' products; design, manufacturing or
software defects; changes in consumer preferences or demands;
changes in industry standards and interfaces; unexpected loss of
performance of our products or technologies when integrated into
systems; as well as other factors detailed from time to time in the
most recent reports NVIDIA files with the Securities and Exchange
Commission, or SEC, including, but not limited to, its annual
report on Form 10-K and quarterly reports on Form 10-Q. Copies of
reports filed with the SEC are posted on the company's website and
are available from NVIDIA without charge. These forward-looking
statements are not guarantees of future performance and speak only
as of the date hereof, and, except as required by law, NVIDIA
disclaims any obligation to update these forward-looking statements
to reflect future events or circumstances.
© 2019 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo and CUDA-X are trademarks and/or registered trademarks
of NVIDIA Corporation in the U.S. and other countries. Other
company and product names may be trademarks of the respective
companies with which they are associated. Features, pricing,
availability and specifications are subject to change without
notice.
A photo accompanying this announcement is available at
https://www.globenewswire.com/NewsRoom/AttachmentNg/9e7797cc-e55e-4079-9f3f-725e4685fb8e
NVIDIA (NASDAQ:NVDA)
Historical Stock Chart
From Mar 2024 to Apr 2024
NVIDIA (NASDAQ:NVDA)
Historical Stock Chart
From Apr 2023 to Apr 2024