NVIDIA today announced NVIDIA® AI Enterprise, a comprehensive
software suite of enterprise-grade AI tools and frameworks
optimized, certified and supported by NVIDIA, exclusively with
VMware vSphere 7 Update 2, separately announced today.
Through a first-of-its-kind industry collaboration to develop an
AI-Ready Enterprise platform, NVIDIA teamed with VMware to
virtualize AI workloads on VMware vSphere with NVIDIA AI
Enterprise. The offering gives enterprises the software required to
develop a broad range of AI solutions, such as advanced diagnostics
in healthcare, smart factories for manufacturing, and fraud
detection in financial services.
With the NVIDIA AI Enterprise software suite, IT professionals
at the hundreds of thousands of enterprises that use vSphere for
compute virtualization can now support AI with the same tools they
use to manage large-scale data centers and hybrid cloud
environments. The NVIDIA software suite provides scale-out,
multi-node, AI application performance on vSphere that is
indistinguishable from bare-metal servers.
“Until now, the world has run AI on bare-metal servers,” said
Justin Boitano, vice president and general manager of Enterprise
and Edge Computing at NVIDIA. “NVIDIA AI Enterprise enables
customers to reduce AI model development time from 80 weeks to just
eight weeks, and allows them to deploy and manage advanced AI
applications on VMware vSphere with the same scale-out,
record-breaking NVIDIA accelerated computing performance that’s
possible on bare metal.”
“Every enterprise is exploring how to modernize their
infrastructure to meet the demands of AI applications,” said Lee
Caswell, vice president of marketing for the Cloud Platform
Business Unit at VMware. “With NVIDIA AI Enterprise and vSphere 7
Update 2, VMware customers are now able to fast-track AI in their
virtualized data centers and easily deploy certified, AI-ready
infrastructure for their modern apps.”
Powering Advanced AI at Enterprise ScaleAmong
the first to use NVIDIA AI Enterprise for vSphere is Optum
Technology, part of UnitedHealth Group.
“AI plays an increasingly important role in the data-driven
services Optum provides for United Healthcare,” said Justin
Potuznik, senior principal engineer at Optum Technology. “With
NVIDIA’s AI Enterprise software and infrastructure running on our
VMware vSphere environment, we’ll be able to power our modern
application workloads and efficiently deploy AI at enterprise
scale.”
Flexible AI Infrastructure for the Hybrid
CloudNVIDIA AI Enterprise provides compatibility for a
broad set of accelerated CUDA® applications, AI frameworks,
pre-trained models and software development kits running in the
hybrid cloud. Optimizations enable workloads to scale across
multiple nodes to support large deep learning training models with
full GPU virtualization.
To power the applications in NVIDIA AI Enterprise, VMware
vSphere 7 Update 2 is now certified for NVIDIA A100 Tensor Core
GPUs on NVIDIA-Certified Systems™, which include high-volume
servers from Dell Technologies, HPE, Lenovo and Supermicro. With
this certification comes direct customer support from NVIDIA for
vSphere customers that acquire a license for NVIDIA AI
Enterprise.
NVIDIA has also certified vSphere as the only compute
virtualization software to provide hypervisor support for live
migration with NVIDIA Multi-Instance GPU technology, which allows
each A100 GPU to be partitioned into up to seven instances at the
hardware level to maximize efficiency for workloads of all
sizes.
Additionally, select NVIDIA ConnectX adapters are now certified
for VMware vSAN over RDMA (Remote Direct Memory Access), which
offloads CPU communication tasks to boost application performance
and improve infrastructure returns on investment.
NVIDIA AI Enterprise is available as a perpetual license at
$3,595 per CPU socket. Enterprise Business Standard Support for
NVIDIA AI Enterprise is $899 annually per license. Customers can
apply for early access to NVIDIA AI Enterprise as they plan their
upgrades to VMware vSphere 7 Update 2.
For more information on bringing AI to VMware hybrid clouds,
read the NVIDIA blog and the VMware vSphere 7 Update 2 release
blog. Free registration is now open for GTC 2021, where NVIDIA and
VMware will present on bringing AI to every enterprise.
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:Shannon
McPheeSenior PR ManagerNVIDIA
Corporation+1-310-920-9642smcphee@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: NVIDIA helping industries unlock the
power of AI; the benefits, performance, features and abilities of
NVIDIA AI Enterprise and VMware vSAN and what they enable; NVIDIA
AI Enterprise letting customers adopt AI at scale; NVIDIA AI
Enterprise enabling enterprises to develop AI solutions and support
AI with the same tools used to manage large-scale data centers;
NVIDIA AI Enterprise enables customers to reduce AI model
development time and to deploy and manage AI applications with the
same levels of scale-out; enterprises exploring how to modernize
their infrastructures; VMware customers being able to fast-track AI
in their data centers and deploy AI ready infrastructure; the
customers using NVIDIA AI Enterprise; AI playing an important role
in data-driven services; Optum being able to power its workloads
and deploy AI; NVIDIA AI Enterprise’s ability to scale across nodes
and its effects; VMware vSphere 7’s certifications and its impacts;
and the price and availability of NVIDIA AI Enterprise and its
support 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 and NVIDIA-Certified Systems are trademarks
and/or registered trademarks of NVIDIA Corporation in the U.S. and
other countries. VMware vSphere and VMware vSAN are registered
trademarks or trademarks of VMware, Inc. or its subsidiaries in the
United States and other jurisdictions. 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.
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