GTC — NVIDIA today announced the NVIDIA
DGX SuperPOD™ Solution for Enterprise, the world’s first turnkey AI
infrastructure, making it possible for organizations to install
incredibly powerful AI supercomputers with extraordinary speed — in
many cases in just a few weeks’ time.
Available in cluster sizes ranging from 20 to 140 individual
NVIDIA DGX A100™ systems, DGX SuperPODs are now shipping and
expected to be installed in Korea, the U.K., Sweden and India
before the end of the year.
Sold in 20-unit modules interconnected with NVIDIA Mellanox® HDR
InfiniBand networking, DGX SuperPOD systems start at 100 petaflops
of AI performance and can scale up to 700 petaflops to run the most
complex AI workloads.
“Traditional supercomputers can take years to plan and deploy,
but the turnkey NVIDIA DGX SuperPOD Solution for Enterprise helps
customers begin their AI transformation today,” said Charlie Boyle,
vice president and general manager of DGX systems at NVIDIA.
“State-of-the-art conversational AI, recommender systems and
computer vision workloads rapidly exceed the capabilities of
traditional infrastructure, and our new solution gives customers a
fast track to the world’s most advanced, scalable AI infrastructure
and NVIDIA expertise.”
Global Innovators Adopt DGX SuperPOD Solution for AI
Centers of ExcellenceVisionary organizations are creating
AI centers of excellence with the DGX SuperPOD Solution for
Enterprise. Those unveiling new DGX SuperPOD AI supercomputers
today include:
- NAVER, the leading search engine in Korea, has
created with LINE, Japan’s No. 1 messaging service, the AI
technology brand NAVER CLOVA. NAVER CLOVA is using its DGX SuperPOD
built with 140 DGX A100 systems to scale out research and
development of natural language processing models and
conversational AI services on its AI platform with the NVIDIA
TensorRT™ SDK for high-performance deep learning inference.
- Linköping University, in Sweden, is building
BerzeLiUs, a DGX SuperPOD of 60 DGX A100 systems. BerzeLiUs will be
a powerful resource to advance AI research and boost collaboration
between academia and Swedish industry across research programs
financed by the Knut and Alice Wallenberg Foundation, such as the
Wallenberg Artificial Intelligence, Autonomous Systems and Software
Program and initiatives in the life sciences and quantum
technology.
- C-DAC, the Centre for Development of Advanced
Computing operating under the Ministry of Electronics and
Information Technology in India, is commissioning India’s fastest
and largest HPC-AI supercomputer, called PARAM Siddhi – AI. Built
with 42 DGX A100 systems, the supercomputer will help address
nationwide and global challenges in healthcare, education, energy,
cybersecurity, space, automotive and agriculture through research
partnerships and collaboration across academia, industry and
startups.
Additionally, NVIDIA separately announced today plans to build
Cambridge-1, an 80-node DGX SuperPOD with 400 petaflops of AI
performance. Once deployed by the end of the year, it will be the
fastest supercomputer in the U.K. The system will be used for
collaborative research within the U.K. AI and healthcare community
across academia, industry and startups.
Cambridge-1 will help accelerate diverse healthcare workloads,
including drug development with the NVIDIA Clara™ healthcare
application framework. It will also enable researchers to rapidly
analyze volumes of medical information using natural language
processing with the specialized NVIDIA BioMegatron model available
on the NVIDIA NGC™ software hub.
World-Leading Infrastructure for AI
InnovationThe DGX SuperPOD Solution for Enterprise was
developed through years of research and development in creating the
world’s most advanced AI system to power NVIDIA’s own engineering
in automotive, healthcare, conversational AI, recommender systems,
data science and computer graphics.
NVIDIA Selene, a 280-node DGX SuperPOD, set the bar high for AI
with top marks on both TOP500 and MLPerf results published earlier
this year. Its DGX SuperPOD architecture also delivers breakthrough
efficiency with record-setting Green500 performance of 20
gigaflops/watt.
AI infrastructure requires extremely high-speed storage to
handle a variety of data types in parallel, such as text, tabular
data, audio and video. The NVIDIA DGX SuperPOD Solution for
Enterprise features all-flash storage that is optimized to meet
customers’ specific requirements as well as the unique demands of
AI workloads. DDN is the first NVIDIA-qualified storage partner for
the DGX SuperPOD Solution for Enterprise.
Fully Integrated AI Deployments Across Systems to
SoftwareFrom customized capacity planning and data center
design services to application performance testing and developer
operations training, the DGX SuperPOD Solution for Enterprise
provides the fastest path to AI innovation at scale. Each DGX
SuperPOD is fully racked, stacked and configured by
NVIDIA-Certified partners. These NVIDIA AI experts ensure installs
are easy, even when building out AI infrastructure with dozens or
hundreds of nodes connected by extensive cabling.
Following installation, NVIDIA and certified experts work with
customers to ensure their AI workloads are optimized with the
latest NVIDIA software available on the NGC hub of cloud-native,
GPU-optimized containers, models and industry-specific SDKs.
AvailabilityThe DGX SuperPOD
Solution for Enterprise is available from select NVIDIA partners
worldwide. Learn more at www.nvidia.com/dgxsuperpod.
In addition to the new DGX SuperPOD Solution for Enterprise, the
DGX SuperPOD blueprint is available to serve as an industry guide
for NVIDIA-Certified partners to plan and deploy their own DGX
SuperPOD offerings, complete with services and certified support
for NGC software.
About NVIDIANVIDIA’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:Shannon
McPheeNVIDIA Corporation+1-310-920-9642smcphee@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: the benefits, performance and
availability of the NVIDIA DGX SuperPOD Solution for Enterprise;
NVIDIA’s plans to build Cambridge-1 as the fastest supercomputer in
the U.K. once deployed; and the benefits and availability of the
Cambridge-1 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.
© 2020 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, DGX A100, Mellanox, NGC, NVIDIA Clara, NVIDIA DGX
SuperPOD, and TensorRT are trademarks and/or registered trademarks
of NVIDIA Corporation and/or Mellanox Technologies in the U.S. and
other countries. All other trademarks and copyrights are the
property of their respective owners.
A photo accompanying this announcement is available at
https://www.globenewswire.com/NewsRoom/AttachmentNg/67e4a2a2-88a5-4a85-995d-a1a80e5dc385
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