NVIDIA Tensor Core GPUs Accelerate World’s Fastest Supercomputers
25 6월 2018 - 4:00PM
Five of World’s Seven Fastest Supercomputers
Powered by NVIDIA; New Tensor Core GPUs Fuse HPC and AI to Speed
Scientific Discovery
International Supercomputing Conference -- NVIDIA
announced today that the world’s top AI supercomputers are all
powered by NVIDIA® Tensor Core GPUs, based on a new list of the
world’s 500 fastest systems. AI supercomputers are uniquely capable
of processing both traditional HPC simulations and revolutionary
new AI workloads.
The new AI supercomputers include the world’s fastest system and
third-fastest systems, Summit and Sierra, both in the U.S. Tensor
Core GPUs also power the fastest supercomputer in Japan, ABCI.
The new systems reflect the broader shift to accelerators in the
TOP500 list. GPUs now power five out of the world’s seven fastest
systems, as well as 17 of the 20 most energy efficient systems on
the new GREEN500 list. In addition, the majority of computing
performance added to the TOP500 list comes from NVIDIA GPUs.
“The new TOP500 list clearly shows that GPUs are the path
forward for supercomputing in an era when Moore’s Law has ended,”
said Ian Buck, vice president and general manager of accelerated
computing at NVIDIA. “With the invention of our Volta Tensor Core
GPU, we can now combine simulation with the power of AI to advance
science, find cures for disease and develop new forms of energy.
These new AI supercomputers will redefine the future of
computing.”
Jack Dongarra, professor at the University of Tennessee and Oak
Ridge National Laboratory, who co-authors the TOP500 list, said:
“This year’s TOP500 list represents a clear shift toward systems
that support both HPC and AI computing. Accelerators, such as GPUs,
are critical to deliver this capability at the performance and
efficiency targets demanded by the supercomputing community.”
GPUs Deliver 95% of Compute in World’s Fastest
SystemThe No. 1 system on the TOP500 is Oak Ridge National
Laboratory’s Summit, which went online earlier this month. It was
clocked at 122 petaflops (million billion floating point
calculations) of processing power in double-precision performance,
surpassing the No. 2 system, China’s Sunway TaihuLight, at 93
petaflops. Summit draws 95 percent of its performance from its
27,648 Tensor Core GPUs, the most GPUs of any supercomputer. Summit
is also capable of over 3 exaops of AI performance, or 3 billion
billion multi-precision AI calculations per second.
Other top systems powered by NVIDIA GPUs include:
- No. 3: Sierra, based at the Lawrence Livermore National
Laboratory, delivers 71 petaflops of performance using 17,280
GPUs.
- No. 5: ABCI, Japan’s fastest system, delivers 19.6 petaflops of
performance using 4,352 GPUs.
- No. 6: Piz Daint, Europe’s fastest system, delivers 19.5
petaflops of performance using 5,320 GPUs.
- No. 7: Titan, operated by the U.S. Energy Department, delivers
17.6 petaflops of performance using 18,688 GPUs.
Additionally, NVIDIA GPUs power the world’s fastest industrial
supercomputer, Italy’s Eni HPC4 for the global oil and gas
industry, No. 13 on the list. Eni’s 3,200 GPUs enable it to deliver
12 petaflops of performance.
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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
BrysonPR DirectorNVIDIA Corporation(408)
486-8612kbryson@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: NVIDIA Tensor Core GPUs powering the
world’s top AI supercomputers and fusing HPC and AI to speed
scientific discovery; AI supercomputers being capable of processing
both traditional HPC simulations and AI workloads; the broader
shift of AI supercomputers to accelerators; GPUs powering five of
the world’s seven fastest systems and seventeen of the twenty most
energy efficient systems; a majority of the computing performance
added to the Top500 list using NVIDIA GPUs; GPUs being the path
forward for supercomputing; Volta Tensor Core GPUs combining
simulation with the power of AI to advance science, find cures for
disease and develop new forms of energy; new AI supercomputers
redefining the future of computing; the shift to towards systems
that support both HPC and AI computing and accelerators being
critical to deliver performance and efficiency targets for the
supercomputing community; and the performance, abilities and
benefits of the world’s fastest supercomputers 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
reports NVIDIA files with the Securities and Exchange Commission,
or SEC, including its Form 10-Q for the fiscal period ended April
29, 2018. 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.
© 2018 NVIDIA Corporation. All rights reserved. NVIDIA and the
NVIDIA logo 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.
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