GTC --
NVIDIA today
announced its first data center CPU, an Arm-based processor that
will deliver 10x the performance of today’s fastest servers on the
most complex AI and high performance computing workloads.
The result of more than 10,000 engineering years of work, the
NVIDIA Grace™ CPU is designed to address the computing requirements
for the world’s most advanced applications — including natural
language processing, recommender systems and AI supercomputing —
that analyze enormous datasets requiring both ultra-fast compute
performance and massive memory. It combines energy-efficient Arm
CPU cores with an innovative low-power memory subsystem to deliver
high performance with great efficiency.
“Leading-edge AI and data science are pushing today’s computer
architecture beyond its limits – processing unthinkable amounts of
data,” said Jensen Huang, founder and CEO of NVIDIA. “Using
licensed Arm IP, NVIDIA has designed Grace as a CPU specifically
for giant-scale AI and HPC. Coupled with the GPU and DPU, Grace
gives us the third foundational technology for computing, and the
ability to re-architect the data center to advance AI. NVIDIA is
now a three-chip company.”
Grace is a highly specialized processor targeting workloads such
as training next-generation NLP models that have more than 1
trillion parameters. When tightly coupled with NVIDIA GPUs, a Grace
CPU-based system will deliver 10x faster performance than today’s
state-of-the-art NVIDIA DGX™-based systems, which run on x86
CPUs.
While the vast majority of data centers are expected to be
served by existing CPUs, Grace — named for Grace Hopper, the U.S.
computer-programming pioneer — will serve a niche segment of
computing.
The Swiss National Supercomputing Centre (CSCS) and the U.S.
Department of Energy’s Los Alamos National Laboratory are the first
to announce plans to build Grace-powered supercomputers in support
of national scientific research efforts.
NVIDIA is introducing Grace as the volume of data and size of AI
models are growing exponentially. Today’s largest AI models include
billions of parameters and are doubling every two-and-a-half
months. Training them requires a new CPU that can be tightly
coupled with a GPU to eliminate system bottlenecks.
NVIDIA built Grace by leveraging the incredible flexibility of
Arm’s data center architecture. By introducing a new server-class
CPU, NVIDIA is advancing the goal of technology diversity in AI and
HPC communities, where choice is key to delivering the innovation
needed to solve the world’s most pressing problems.
“As the world’s most widely licensed processor architecture, Arm
drives innovation in incredible new ways every day,” said Arm CEO
Simon Segars. “NVIDIA’s introduction of the Grace data center CPU
illustrates clearly how Arm’s licensing model enables an important
invention, one that will further support the incredible work of AI
researchers and scientists everywhere.”
Grace’s First Adopters Push Limits of Science and
AICSCS and Los Alamos National Laboratory both plan to
bring Grace-powered supercomputers, built by Hewlett Packard
Enterprise, online in 2023.
”NVIDIA’s novel Grace CPU allows us to converge AI technologies
and classic supercomputing for solving some of the hardest problems
in computational science,” said CSCS Director Prof. Thomas
Schulthess. “We are excited to make the new NVIDIA CPU available
for our users in Switzerland and globally for processing and
analyzing massive and complex scientific datasets.”
“With an innovative balance of memory bandwidth and capacity,
this next-generation system will shape our institution’s computing
strategy,” said Thom Mason, director of the Los Alamos National
Laboratory. “Thanks to NVIDIA’s new Grace CPU, we’ll be able to
deliver advanced scientific research using high-fidelity 3D
simulations and analytics with datasets that are larger than
previously possible.”
Delivering Breakthrough Performance Underlying
Grace’s performance is fourth-generation NVIDIA NVLink®
interconnect technology, which provides a record 900 GB/s
connection between Grace and NVIDIA GPUs to enable 30x higher
aggregate bandwidth compared to today’s leading servers.
Grace will also utilize an innovative LPDDR5x memory subsystem
that will deliver twice the bandwidth and 10x better energy
efficiency compared with DDR4 memory. In addition, the new
architecture provides unified cache coherence with a single memory
address space, combining system and HBM GPU memory to simplify
programmability.
Grace will be supported by the NVIDIA HPC software development
kit and the full suite of CUDA® and CUDA-X™ libraries, which
accelerate more than 2,000 GPU applications, speeding discoveries
for scientists and researchers working on the world’s most
important challenges.
Availability is expected in the beginning of 2023.
Learn more at GTC21, taking place online April 12-16 —
registration is free.
About NVIDIANVIDIA’s (NASDAQ: NVDA) invention
of the GPU in 1999 sparked the growth of the PC gaming market and
has redefined modern computer graphics, high performance computing
and artificial intelligence. The company’s pioneering work in
accelerated computing and AI is reshaping trillion-dollar
industries, such as transportation, healthcare and manufacturing,
and fueling the growth of many others. More information at
https://nvidianews.nvidia.com/.
For further information, contact:Kristin Bryson
Senior Director, Enterprise CommunicationsNVIDIA
Corporation+1-203-241-9190kbryson@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: the features, performance, benefits,
impact and availability of the Grace CPU; CSCS’s and Los Alamos
National Laboratory’s plans to build Grace-powered supercomputers
and bring them online by 2023; the growth of AI models; data
centers being served by CPUs; Grace serving a niche segment of
computing; leading-edge AI and data science pushing today’s
computer architecture beyond its limits — processing unthinkable
amounts of data; the training of AI models requiring a new CPU;
NVIDIA advancing the goal of technology diversity in AI and HPC
communities; the flexibility of Arm’s open architecture driving
innovation; and Arm enabling invention and supporting the work of
AI researchers and scientists 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.
© 2021 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, CUDA, CUDA-X AI, DGX, NVIDIA Grace, and NVLink 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/b3cfff26-6195-4f21-a7cc-55f7f16af7a6
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