GTC—NVIDIA today announced that the NVIDIA H100
Tensor Core GPU is in full production, with global tech partners
planning in October to roll out the first wave of products and
services based on the groundbreaking NVIDIA Hopper™ architecture.
Unveiled in April, H100 is built with 80 billion transistors and
benefits from a range of technology breakthroughs. Among them are
the powerful new Transformer Engine and an NVIDIA NVLink®
interconnect to accelerate the largest AI models, like advanced
recommender systems and large language models, and to drive
innovations in such fields as conversational AI and drug
discovery.
“Hopper is the new engine of AI factories, processing and
refining mountains of data to train models with trillions of
parameters that are used to drive advances in language-based AI,
robotics, healthcare and life sciences,” said Jensen Huang, founder
and CEO of NVIDIA. “Hopper’s Transformer Engine boosts performance
up to an order of magnitude, putting large-scale AI and HPC within
reach of companies and researchers.”
In addition to Hopper’s architecture and Transformer Engine,
several other key innovations power the H100 GPU to deliver the
next massive leap in NVIDIA’s accelerated compute data center
platform, including second-generation Multi-Instance GPU,
confidential computing, fourth-generation NVIDIA NVLink and DPX
Instructions.
A five-year license for the NVIDIA AI Enterprise software suite
is now included with H100 for mainstream servers. This optimizes
the development and deployment of AI workflows and ensures
organizations have access to the AI frameworks and tools needed to
build AI chatbots, recommendation engines, vision AI and more.
Global Rollout of Hopper H100 enables companies
to slash costs for deploying AI, delivering the same AI performance
with 3.5x more energy efficiency and 3x lower total cost of
ownership, while using 5x fewer server nodes over the previous
generation.
For customers who want to immediately try the new technology,
NVIDIA announced that H100 on Dell PowerEdge servers is now
available on NVIDIA LaunchPad, which provides free hands-on labs,
giving companies access to the latest hardware and NVIDIA AI
software.
Customers can also begin ordering NVIDIA DGX™ H100 systems,
which include eight H100 GPUs and deliver 32 petaflops of
performance at FP8 precision. NVIDIA Base Command™ and NVIDIA AI
Enterprise software power every DGX system, enabling deployments
from a single node to an NVIDIA DGX SuperPOD™ supporting advanced
AI development of large language models and other massive
workloads.
H100-powered systems from the world’s leading computer makers
are expected to ship in the coming weeks, with over 50 server
models in the market by the end of the year and dozens more in the
first half of 2023. Partners building systems include Atos, Cisco,
Dell Technologies, Fujitsu, GIGABYTE, Hewlett Packard Enterprise,
Lenovo and Supermicro.
Additionally, some of the world’s leading higher education and
research institutions will be using H100 to power their
next-generation supercomputers. Among them are the Barcelona
Supercomputing Center, Los Alamos National Lab, Swiss National
Supercomputing Centre (CSCS), Texas Advanced Computing Center and
the University of Tsukuba.
H100 Coming to the CloudAmazon Web Services,
Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure will
be among the first to deploy H100-based instances in the cloud
starting next year.
“We look forward to enabling the next generation of AI models on
the latest H100 GPUs in Microsoft Azure,” said Nidhi Chappell,
general manager of Azure AI Infrastructure. “With the advancements
in Hopper architecture coupled with our investments in Azure AI
supercomputing, we’ll be able to help accelerate the development of
AI worldwide”
“By offering our customers the latest H100 GPUs from NVIDIA,
we’re helping them accelerate their most complex machine learning
and HPC workloads,” said Karan Batta, vice president of product
management at Oracle Cloud Infrastructure. “Additionally, using
NVIDIA’s next generation of H100 GPUs allows us to support our
demanding internal workloads and helps our mutual customers with
breakthroughs across healthcare, autonomous vehicles, robotics and
IoT.”
NVIDIA Software SupportThe advanced Transformer
Engine technology of H100 enables enterprises to quickly develop
large language models with a higher level of accuracy. As these
models continue to grow in scale, so does the complexity, sometimes
requiring months to train.
To tackle this, some of the world’s leading large language model
and deep learning frameworks are being optimized on H100, including
NVIDIA NeMo Megatron, Microsoft DeepSpeed, Google JAX, PyTorch,
TensorFlow and XLA. These frameworks combined with Hopper
architecture will significantly speed up AI performance to help
train large language models within days or hours.
To learn more about NVIDIA Hopper and H100, watch Huang’s GTC
keynote. Register for GTC for free to attend sessions with NVIDIA
and industry leaders.
About NVIDIASince its founding in 1993, NVIDIA
(NASDAQ: NVDA) has been a pioneer in accelerated computing. The
company’s invention of the GPU in 1999 sparked the growth of the PC
gaming market, redefined computer graphics and ignited the era of
modern AI. NVIDIA is now a full-stack computing company with
data-center-scale offerings that are reshaping industry. More
information at https://nvidianews.nvidia.com/.
For further information, contact:Kristin
UchiyamaSenior PR ManagerNVIDIA
Corporation+1-408-313-0448kuchiyama@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: the benefits, impact, specifications,
performance, features and availability of our products and
technologies, including NVIDIA H100 Tensor Core GPUs, NVIDIA Hopper
architecture, NVIDIA AI Enterprise software suite, NVIDIA
LaunchPad, NVIDIA DGX H100 systems, NVIDIA Base Command, NVIDIA DGX
SuperPOD and NVIDIA-Certified Systems; a range of the world’s
leading computer makers, cloud service providers, higher education
and research institutions and large language model and deep
learning frameworks adopting the H100 GPUs; the software support
for NVIDIA H100; large language models continuing to grow in scale;
and the performance of large language model and deep learning
frameworks combined with NVIDIA Hopper 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.
© 2022 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, DGX, NVIDIA Base Command, NVIDIA-Certified Systems,
NVIDIA DGX SuperPOD, NVIDIA Hopper 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/77db7ffe-3351-420c-938e-37c21256f801
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