NVIDIA today introduced a new class of NVIDIA-Certified Systems™,
bringing AI within reach for organizations that run their
applications on industry-standard enterprise data center
infrastructure.
These include high-volume enterprise servers
from top manufacturers, which were announced in January and are now
certified to run the NVIDIA AI Enterprise software suite — which is
exclusively certified for VMware vSphere 7, the world’s most widely
used compute virtualization platform.
Further expanding the NVIDIA-Certified servers
ecosystem is a new wave of systems featuring the NVIDIA A30 GPU for
mainstream AI and data analytics and the NVIDIA A10 GPU for
AI-enabled graphics, virtual workstations and mixed compute and
graphics workloads, also announced today.
“AI is rapidly moving into mainstream use,
accelerating demand for the infrastructure and software businesses
require to deploy it at scale,” said Manuvir Das, head of
Enterprise Computing at NVIDIA. “With NVIDIA AI Enterprise and
VMware vSphere 7 on NVIDIA-Certified Systems, customers can now run
virtualized AI applications on industry-standard servers — enabling
hundreds of thousands of companies to host new AI services on their
VMware platforms.”
Atos, Dell Technologies, GIGABYTE, H3C, Inspur,
Lenovo, QCT and Supermicro are the first to offer NVIDIA-Certified
mainstream servers supporting the NVIDIA EGX™ platform, enabling
enterprises for the first time to run AI workloads on the same
infrastructure used for traditional business applications.
Among the first incorporating these systems into
their data centers are Lockheed Martin and Mass General
Brigham.
NVIDIA and VMware’s collaboration provides
customers an AI-ready enterprise platform to accelerate AI,
container-based and traditional enterprise workloads, while also
supporting virtualized AI applications with scale-out performance
that is nearly indistinguishable from bare-metal servers.
“Customers don’t want AI silos – they want to
run AI apps 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. “VMware and NVIDIA have teamed up so that customers
can now evolve their existing enterprise infrastructure with an
end-to-end AI-Ready Enterprise platform that’s easy to deploy and
operate.”
NVIDIA-Certified EGX Systems Portfolio
to Incorporate New Enterprise GPUsBased on the NVIDIA
Ampere architecture, the enterprise-class A30 delivers versatile
performance at an optimal price for industry-standard servers. Each
provides 24GB of HBM2 GPU memory and fast PCIe Gen 4 memory
bandwidth while supporting four 6GB GPU instances with NVIDIA
Multi-Instance GPU technology.
A30 supports a broad range of AI inference,
training and traditional enterprise compute workloads. It can power
AI use cases such as recommender systems, conversational AI and
computer vision systems.
For AI training, its third-generation NVIDIA
Tensor Cores support single-precision floating-point 32
calculations and an innovative new math mode known as
TensorFloat-32, which boosts performance 20x over the
previous-generation NVIDIA T4 GPUs.
The enterprise-grade NVIDIA A10 Tensor Core GPU
powers accelerated graphics, rendering, AI and compute workloads in
mainstream NVIDIA-Certified Systems. Built on the latest NVIDIA
Ampere architecture, it provides 24GB of memory to accelerate the
work of designers, engineers, artists and scientists.
Industry Leaders Embrace Virtualized
AIIndustry innovators spanning healthcare, professional
services, manufacturing and more are deploying NVIDIA-Certified
Systems and NVIDIA and VMware’s AI-ready enterprise platform to
power virtualized AI and data science.
“NVIDIA’s accelerated computing platform gives
us the flexibility to support a broad range of mission-critical
applications,” said Steven Walker, chief technology officer at
Lockheed Martin. “From enabling real-time collaborative design and
simulation, to deep learning capabilities that are revolutionizing
predictive maintenance, cybersecurity and humanitarian assistance
missions, NVIDIA-Certified Systems and software are critical to
scaling infrastructure.”
“Virtualization is enabling healthcare systems
to deliver services to clinicians and patients at scale, across
radiology departments and facilities,” said Tom Schultz, director
of Information Systems, Enterprise Medical Imaging, and Clinical
Data Science at Mass General Brigham. “It has the potential to
significantly increase the adoption of GPU-based AI applications.
This allows for better utilization of technology infrastructure and
minimizes the need for dedicated GPU systems for each project,
which means AI can be applied more broadly to improve patient
services.”
Availability More than 20
NVIDIA-Certified Systems are available now from worldwide computer
makers.
NVIDIA-Certified Systems featuring NVIDIA A30
and NVIDIA A10 GPUs will be available later this year from
manufacturers.
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.
Register for free to learn more about the NVIDIA
EGX platform, NVIDIA-Certified Systems and NVIDIA AI Enterprise for
VMware vSphere during GTC21, taking place online April 12-16. Tune
in to watch NVIDIA founder and CEO Jensen Huang’s GTC21 keynote
address streaming live on April 12 starting at 8:30 a.m. PT.
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,
performance and abilities of our products and technologies,
including NVIDIA-Certified servers, NVIDIA AI Enterprise software,
NVIDIA A30 GPUs and NVIDIA A10 GPUs; NVIDIA-Certified Systems
bringing AI within reach for organizations; the systems featuring
the NVIDIA A30 and A10 GPUs and what they are used for; AI moving
into mainstream use and accelerating demand for businesses to
deploy it; what NVIDIA AI Enterprise and VMware vSphere allow
customers to run and the number of companies enabled to host AI
services; the companies offering servers and enabling enterprises
to run AI workloads; the companies incorporating these systems into
their data centers; the benefits and impact of NVIDIA and VMware’s
collaboration; industry innovators using NVIDIA-Certified Systems;
what NVIDIA’s accelerated computing platform enables and its
impacts; NVIDIA AI extending and enabling virtualization and its
impacts; the number of customers who need tools; NVIDIA-Certified
Systems available now and future availability; and the price of
NVIDIA AI Enterprise 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, NVIDIA-Certified Systems and NVIDIA EGX
are trademarks and/or registered trademarks of NVIDIA Corporation
and/or Mellanox Technologies 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/c6917605-c8ee-4104-b56d-13a649edf36b
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