NVIDIA today announced the availability of NVIDIA AI Enterprise, a
comprehensive software suite of AI tools and frameworks that
enables the hundreds of thousands of companies running VMware
vSphere to virtualize AI workloads on NVIDIA-Certified Systems™.
Leading manufacturers Atos, Dell Technologies, GIGABYTE, Hewlett
Packard Enterprise, Inspur, Lenovo and Supermicro are offering
NVIDIA-Certified Systems optimized for AI workloads on VMware
vSphere with NVIDIA AI Enterprise. Separately, Dell
Technologies today announced Dell EMC VxRail as the first
hyperconverged platform to be qualified as an NVIDIA-Certified
System for NVIDIA AI Enterprise.
To help teams of data scientists run their AI workloads most
efficiently, Domino Data Lab today announced it is validating its
Domino Enterprise MLOps Platform with NVIDIA AI Enterprise, which
runs on mainstream NVIDIA-Certified Systems.
“The first wave of AI has been powered by specialized
infrastructure that focused adoption on industry pioneers,” said
Manuvir Das, head of Enterprise Computing at NVIDIA. “Today is the
beginning of a new chapter in the age of AI, as NVIDIA software
brings its transformative power within reach for enterprises around
the world that run their workloads on VMware with mainstream data
center servers.”
“As AI applications become critical, customers want to run them
on their enterprise infrastructure for manageability, scalability,
security and governance,” said Krish Prasad, senior vice president
and general manager of the Cloud Platform Business Unit at VMware.
“Running NVIDIA AI Enterprise on VMware vSphere delivers a
certified, end-to-end AI-Ready enterprise platform that’s easy to
deploy and operate.”
“Partnering closely with NVIDIA, we’re deepening our product
integrations by enabling the Domino Enterprise MLOps Platform to
run with a broader range of NVIDIA GPUs and validating it for
NVIDIA AI Enterprise,” said Nick Elprin, CEO and co-founder of
Domino Data Lab. “This new offering will help hundreds of thousands
of enterprises accelerate data science at scale.”
Customers Simplify, Scale with NVIDIA AI
Enterprise Dozens of automotive, education, finance,
healthcare, manufacturing and technology companies worldwide are
among the early adopters using NVIDIA AI Enterprise. Many are
midsize companies that can now develop a broad range of
applications using the world’s most widely used servers to deploy
and scale data science, conversational AI, computer vision,
recommender systems and more.
Among the earliest to use NVIDIA AI Enterprise is Cerence Inc.,
a leading provider of conversational AI for automotive and mobility
markets with nearly 400 million Cerence-powered vehicles shipped
worldwide. The company is using AI Enterprise to develop
intelligent in-car assistants and digital co-pilots.
Additionally, University of Pisa, an Italian public research
university, is supporting HPC and AI training across multiple
disciplines to advance scientific studies with the NVIDIA
software.
“NVIDIA AI Enterprise allowed us to expand our support for our
researchers and students who utilize data analytics and AI deep
learning and machine learning, while making these applications
easier to deploy and manage,” said Maurizio Davini, chief
technology officer at the University of Pisa. “Our testing has
shown that these latest collaborations between NVIDIA and VMware
deliver the full potential of our GPU-accelerated virtualized
infrastructure at near bare-metal speeds.”
Powerful AI Performance on Mainstream
ServersNVIDIA AI Enterprise enables IT professionals that
use VMware vSphere to run traditional enterprise applications to
easily and cost-effectively support AI workloads while using the
same tools they use to manage large-scale data centers and hybrid
clouds.
NVIDIA-Certified Systems from Atos, Dell Technologies, GIGABYTE,
Hewlett Packard Enterprise, Inspur, Lenovo and Supermicro for
NVIDIA AI Enterprise feature a wide range of NVIDIA GPUs, including
the A100, A30, A40, A10 and T4. These mainstream accelerated
systems provide customers with a broad selection of options for
scale-out, multinode, AI application performance on vSphere that is
virtually indistinguishable from bare-metal servers.
AvailabilityNVIDIA AI Enterprise is now
available from NVIDIA channel partners worldwide, including Atea,
Carahsoft, Computacenter, Insight Enterprises, NTT, SoftServe and
SVA System Vertrieb Alexander GmbH.
Subscription licenses start at $2,000 per CPU socket for one
year and include Business Standard Support (five days a week, nine
hours a day). Perpetual licenses are $3,595 and require additional
support purchase. Customers can upgrade to Business Critical
Support for 24x7 access to NVIDIA AI expertise.
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: the benefits, impact, performance,
features, pricing, and availability of our products and services,
including NVIDIA AI Enterprise; leading manufacturers offering
NVIDIA-Certified Systems optimized for AI workloads on VMware
vSphere with NVIDIA AI Enterprise; the impact of our partnership
with Domino Data Lab; NVIDIA software bringing its transformative
power within reach for enterprises around the world; customers
adopting and using NVIDIA AI Enterprise; NVIDIA-Certified Systems
providing customers with a broad selection of options for
scale-out, multinode, AI application performance; and the
availability of NVIDIA AI Enterprise from our channel partners
worldwide 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, and NVIDIA-Certified Systems are trademarks and/or
registered trademarks of NVIDIA Corporation in the U.S. and other
countries. VMware and vSphere are registered trademarks or
trademarks of VMware, Inc. or its subsidiaries in the United States
and other jurisdictions. 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/36c05a04-bd1b-49f2-bb61-a32d26ad7b68
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