NVIDIA today announced a multi-year collaboration with Microsoft to
build one of the most powerful AI supercomputers in the world,
powered by Microsoft Azure’s advanced supercomputing infrastructure
combined with NVIDIA GPUs, networking and full stack of AI software
to help enterprises train, deploy and scale AI, including large,
state-of-the-art models.
Azure’s cloud-based AI supercomputer includes
powerful and scalable ND- and NC-series virtual machines optimized
for AI distributed training and inference. It is the first public
cloud to incorporate NVIDIA’s advanced AI stack, adding tens of
thousands of NVIDIA A100 and H100 GPUs, NVIDIA Quantum-2 400Gb/s
InfiniBand networking and the NVIDIA AI Enterprise software suite
to its platform.
As part of the collaboration, NVIDIA will utilize
Azure’s scalable virtual machine instances to research and further
accelerate advances in generative AI, a rapidly emerging area of AI
in which foundational models like Megatron Turing NLG 530B are the
basis for unsupervised, self-learning algorithms to create new
text, code, digital images, video or audio.
The companies will also collaborate to optimize
Microsoft’s DeepSpeed deep learning optimization software. NVIDIA’s
full stack of AI workflows and software development kits, optimized
for Azure, will be made available to Azure enterprise
customers.
“AI technology advances as well as industry
adoption are accelerating. The breakthrough of foundation models
has triggered a tidal wave of research, fostered new startups and
enabled new enterprise applications,” said Manuvir Das, vice
president of enterprise computing at NVIDIA. “Our collaboration
with Microsoft will provide researchers and companies with
state-of-the-art AI infrastructure and software to capitalize on
the transformative power of AI.”
“AI is fueling the next wave of automation across
enterprises and industrial computing, enabling organizations to do
more with less as they navigate economic uncertainties,” said Scott
Guthrie, executive vice president of the Cloud + AI Group at
Microsoft. “Our collaboration with NVIDIA unlocks the world’s most
scalable supercomputer platform, which delivers state-of-the-art AI
capabilities for every enterprise on Microsoft Azure.”
Scalable Peak Performance With NVIDIA
Compute and Quantum-2 InfiniBand on AzureMicrosoft Azure’s
AI-optimized virtual machine instances are architected with
NVIDIA’s most advanced data center GPUs and are the first public
cloud instances to incorporate NVIDIA Quantum-2 400Gb/s InfiniBand
networking. Customers can deploy thousands of GPUs in a single
cluster to train even the most massive large language models, build
the most complex recommender systems at scale, and enable
generative AI at scale.
The current Azure instances feature NVIDIA Quantum
200Gb/s InfiniBand networking with NVIDIA A100 GPUs. Future ones
will be integrated with NVIDIA Quantum-2 400Gb/s InfiniBand
networking and NVIDIA H100 GPUs. Combined with Azure’s advanced
compute cloud infrastructure, networking and storage, these
AI-optimized offerings will provide scalable peak performance for
AI training and deep learning inference workloads of any size.
Accelerating AI Development and
DeploymentAdditionally, the platform will support a broad
range of AI applications and services, including Microsoft
DeepSpeed and the NVIDIA AI Enterprise software suite.
Microsoft DeepSpeed will leverage the NVIDIA H100
Transformer Engine to accelerate transformer-based models used for
large language models, generative AI and writing computer code,
among other applications. This technology applies 8-bit floating
point precision capabilities to DeepSpeed to dramatically
accelerate AI calculations for transformers — at twice the
throughput of 16-bit operations.
NVIDIA AI Enterprise — the globally adopted
software of the NVIDIA AI platform — is certified and supported on
Microsoft Azure instances with NVIDIA A100 GPUs. Support for Azure
instances with NVIDIA H100 GPUs will be added in a future software
release.
NVIDIA AI Enterprise, which includes the NVIDIA
Riva for speech AI and NVIDIA Morpheus cybersecurity application
frameworks, streamlines each step of the AI workflow, from data
processing and AI model training to simulation and large-scale
deployment.
Learn more about NVIDIA’s AI technology on the
Azure partner page.
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,
ignited the era of modern AI and is fueling the creation of the
metaverse. 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:Cliff Edwards Senior PR Manager, Cloud
ComputingNVIDIA
Corporation+1-415-699-2755cliffe@nvidia.com
Certain statements in this press release including,
but not limited to, statements as to: the benefits, impact,
performance and availability of our products and technologies,
including NVIDIA A100 and H100 GPUs, NVIDIA Quantum-2 InfiniBand,
NVIDIA AI Enterprise, and the NVIDIA H100 Transformer Engine;
NVIDIA’s collaboration with Microsoft, including the benefits and
impact thereof; AI technology advances as well as industry adoption
accelerating; the impacts of the breakthrough of foundation models;
AI fueling the next wave of automation across enterprises and
industrial computing and the impact thereof; future Azure instances
being integrated with NVIDIA Quantum-2 400Gb/s InfiniBand
networking and NVIDIA H100 GPUs; support for Azure instances with
NVIDIA H100 GPUs being added in a future software release 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 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. Features, pricing,
availability and specifications are subject to change without
notice.
NVIDIA (NASDAQ:NVDA)
Historical Stock Chart
Von Okt 2023 bis Nov 2023
NVIDIA (NASDAQ:NVDA)
Historical Stock Chart
Von Nov 2022 bis Nov 2023