SC20—NVIDIA today introduced the next generation
of NVIDIA® Mellanox® 400G InfiniBand, giving AI developers and
scientific researchers the fastest networking performance available
to take on the world’s most challenging problems.
As computing requirements continue to grow exponentially in
areas such as drug discovery, climate research and genomics, NVIDIA
Mellanox 400G InfiniBand is accelerating this work through a
dramatic leap in performance offered on the world’s only fully
offloadable, in-network computing platform.
The seventh generation of Mellanox InfiniBand provides ultra-low
latency and doubles data throughput with NDR 400Gb/s and adds new
NVIDIA In-Network Computing engines to provide additional
acceleration.
The world’s leading infrastructure manufacturers — including
Atos, Dell Technologies, Fujitsu, GIGABYTE, Inspur, Lenovo and
Supermicro — plan to integrate NVIDIA Mellanox 400G InfiniBand into
their enterprise solutions and HPC offerings. These commitments are
complemented by extensive support from leading storage
infrastructure partners including DDN and IBM Storage, among
others.
“The most important work of our customers is based on AI and
increasingly complex applications that demand faster, smarter, more
scalable networks,” said Gilad Shainer, senior vice president of
networking at NVIDIA. “The NVIDIA Mellanox 400G InfiniBand’s
massive throughput and smart acceleration engines let HPC, AI and
hyperscale cloud infrastructures achieve unmatched performance with
less cost and complexity.”
Today’s announcement builds on Mellanox InfiniBand’s lead as the
industry’s most robust solution for AI supercomputing. The NVIDIA
Mellanox NDR 400G InfiniBand offers 3x the switch port density and
boosts AI acceleration power by 32x. In addition, it surges switch
system aggregated bi-directional throughput 5x, to 1.64 petabits
per second, enabling users to run larger workloads with fewer
constraints.
Expanding Ecosystem for Expanding
WorkloadsEarly interest in the next generation of Mellanox
InfiniBand is coming from some of the world’s largest scientific
research organizations.
“Microsoft Azure’s partnership with NVIDIA Networking stems from
our shared passion for helping scientists and researchers drive
innovation and creativity through scalable HPC and AI. In HPC,
Azure HBv2 VMs are the first to bring HDR InfiniBand to the cloud
and achieve supercomputing scale and performance for MPI customer
applications with demonstrated scaling to eclipse 80,000 cores for
MPI HPC,” said Nidhi Chappell, head of product, Azure HPC and AI at
Microsoft Corp. “In AI, to meet the high-ambition needs of AI
innovation, the Azure NDv4 VMs also leverage HDR InfiniBand with
200Gb/s per GPU, a massive total of 1.6Tb/s of interconnect
bandwidth per VM, and scale to thousands of GPUs under the same
low-latency InfiniBand fabric to bring AI supercomputing to the
masses. Microsoft applauds the continued innovation in NVIDIA’s
Mellanox InfiniBand product line, and we look forward to continuing
our strong partnership together.”
“High-performance interconnects are cornerstone technologies
required for exascale and beyond. Los Alamos National Laboratory
continues to be at the forefront of HPC networking technologies,”
said Steve Poole, chief architect for next-generation platforms at
Los Alamos National Laboratory. “The Lab will continue their
relationship working with NVIDIA in evaluating and analyzing their
latest 400Gb/s technology aimed at solving the diverse workload
requirements at Los Alamos.”
“Amid the new age of exascale computing, researchers and
scientists are pushing the limits of applying mathematical modeling
to quantum chemistry, molecular dynamics and civil safety,” said
Professor Thomas Lippert, head of the Jülich Supercomputing Centre.
“We are committed to leveraging the next generation of Mellanox
InfiniBand to further our track record of building Europe’s
leading, next-generation supercomputers.”
“InfiniBand continues to maintain its pace of innovation and
performance, underlining the differentiation that has made it the
most commonly used high-performance server and storage interconnect
for HPC and AI systems,” said Addison Snell, CEO of Intersect360
Research. “As applications continue to demand increased network
throughput, the need for high-performance solutions, such as NVIDIA
Mellanox 400G InfiniBand, has the potential to keep expanding into
new use cases and markets.”
Product Specifications and
AvailabilityOffloading operations is crucial for AI
workloads. The third-generation NVIDIA Mellanox SHARP technology
allows deep learning training operations to be offloaded and
accelerated by the InfiniBand network, resulting in 32x higher AI
acceleration power. When combined with NVIDIA Magnum IO™ software
stack, it provides out-of-the-box accelerated scientific
computing.
Edge switches, based on the Mellanox InfiniBand architecture,
carry an aggregated bi-directional throughput of 51.2Tb/s, with a
landmark capacity of more than 66.5 billion packets per second. The
modular switches, based on Mellanox InfiniBand, will carry up to an
aggregated bi-directional throughput of 1.64 petabits per second,
5x higher than the last generation.
The Mellanox InfiniBand architecture is based on industry
standards to ensure backwards and future compatibility and protect
data center investments. Solutions based on the architecture are
expected to sample in the second quarter of 2021.
Learn more about NVIDIA Mellanox InfiniBand in the live NVIDIA
SC20 Special Address at 3 p.m. PT today.
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
https://nvidianews.nvidia.com/.
For further information, contact:Alex
ShapiroNVIDIA Corporation+1-415-608-5044ashapiro@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: the benefits, performance and
abilities of the NVIDIA Mellanox InfiniBand architecture, NVIDIA
NDR 400Gb/s, and NVIDIA Mellanox SHARP technology; what our
technology enables; NDR 400Gb/s InfiniBand allowing infrastructures
to achieve unmatched performance with less cost and complexity; the
early interest for NDR 400Gb/s InfiniBand; NDR 400Gb/s InfiniBand
being a needle mover for Microsoft Azure and Microsoft’s reliance
on InfiniBand to deliver the best performance and cost; Los Alamos
National Laboratory being at the forefront of HPC networking
technologies and it continuing its relationship working with NVIDIA
and its products; researchers and scientists pushing the limits of
mathematical modeling; the commitment to leverage the next
generation of NVIDIA NDR 400Gb/s InfiniBand; the networking
manufacturers planning to integrate NVIDIA NDR 400Gb/s InfiniBand
solutions and support from storage infrastructure partners; the
potential for high-performance solutions to keep expanding into new
use cases and markets; and the availability of solutions based on
the architecture 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 and Mellanox 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. 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/893295fc-fe6c-4d55-b64c-cbccb5369d6c
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