GPU Technology Conference
—
NVIDIA today announced that mainstream
servers optimized to run NVIDIA’s data science acceleration
software are now available from seven of the world’s largest
systems manufacturers, including Cisco, Dell EMC, Fujitsu, Hewlett
Packard Enterprise (HPE), Inspur, Lenovo and Sugon.
Featuring NVIDIA® T4 GPUs and fine-tuned to run NVIDIA CUDA-X
AI™ acceleration libraries, the servers provide businesses a
standard, highly efficient platform for data analytics and a wide
range of other enterprise workloads.
Drawing only 70 watts of power and designed to fit into existing
data center infrastructures, the T4 GPU can accelerate AI training
and inference, machine learning, data analytics and virtual
desktops. This unique combination of capabilities has helped create
a new class of enterprise servers that, through GPU acceleration,
can provide businesses with greater utility and versatility.
“The rapid adoption of T4 on the world’s most popular business
servers signals the start of a new modern era in enterprise
computing — one in which GPU acceleration has become standard,”
said Ian Buck, vice president and general manager of Accelerated
Computing at NVIDIA. “Now, with a wave of mainstream NVIDIA-powered
servers optimized for data science, companies worldwide can deploy
accelerated AI at a faster pace across their entire business.”
New T4 Servers Validated as NGC-ReadySystems
announced today by Cisco, Dell EMC, Fujitsu, HPE, Inspur, Lenovo
and Sugon are NVIDIA NGC-Ready validated, a designation reserved
for servers with demonstrated ability to excel in a full range of
accelerated workloads.
All software tested as part of the NGC-Ready validation process
is available from NVIDIA NGC™, a comprehensive repository of
GPU-accelerated software, pre-trained AI models, model training for
data analytics, machine learning, deep learning and high
performance computing accelerated by CUDA-X AI.
Launched in November, the NGC-Ready program features a select
set of systems powered by NVIDIA GPUs with Tensor Cores that are
ideal for a wide range of AI workloads.
Key NGC-Ready validated T4 servers announced today are:
- Cisco UCS C240 M5
- Dell EMC PowerEdge R740/R740xd
- Fujitsu PRIMERGY RX2540 M5
- HPE ProLiant DL380 Gen10
- Inspur NF5280M5
- Lenovo ThinkSystem SR670
- Sugon W760-G30
Additionally, several other partners have started the validation
process for their T4 servers.
New Enterprise Support Program for NGC-Ready
SystemsFurthering the value of this program, NVIDIA today
launched an enterprise support service exclusively for customers
with NGC-Ready systems, including all NGC-Ready T4 systems as well
as previously validated NVLink® and Tesla® V100-based servers and
NVIDIA-powered workstations.
NVIDIA NGC Support Services give customers direct access to
NVIDIA technical experts to help ensure their NGC-Ready systems run
optimally and maximize system utilization and user
productivity.
NVIDIA’s support service is available through sellers of
NGC-Ready systems, with immediate availability from Cisco for its
NGC-Ready validated NVIDIA V100 system, Cisco UCS C480 ML. HPE will
offer the service for the HPE ProLiant DL380 Gen10 server as a
validated NGC-Ready NVIDIA T4 server in June. Several other
original equipment manufacturers are expected to begin selling the
service on their NVIDIA T4 and V100 systems in the second
quarter.
New T4 Servers Certified with Leading Virtual Desktop
and Application Virtualization SolutionsNVIDIA T4-equipped
servers have been certified by leading OEMs for NVIDIA virtual GPU
software — NVIDIA GRID® Virtual PC (vPC) for knowledge workers and
NVIDIA Quadro Virtual Data Center Workstation (vDWS) for creative
and technical professionals.
With the T4, users will enjoy high-quality virtual desktop
experiences on the latest generation of servers, including up to 33
percent more VDI performance than CPU-only with GRID vPC. NVIDIA
also announced it has collaborated with leading OEMs to make VDI
easier and more affordable with multi-year discounts available for
a limited time only.
Broad Industry SupportNGC-Ready systems
partners “Cisco is the first OEM to resell NVIDIA NGC support to
its customers so they can accelerate their deep learning projects
on Cisco’s NGC-ready UCS C480 ML M5 server, with eight NVIDIA Tesla
V100 Tensor Core GPUs interconnected with NVLink. We are also
excited to announce support for the new NVIDIA T4 universal GPU on
our UCS C240 M5 and C220 M5 servers, providing our users the
flexibility to maximize their infrastructure use for AI/ML and
virtualization projects on the same hardware.”— Siva Sivakumar,
senior director of Data Center Solutions, Cisco
“Dell Technologies is focused on helping customers transform
their IT while benefiting from advancements such as artificial
intelligence. As the world’s leading provider of server systems,
Dell EMC continues to enhance the PowerEdge server portfolio to
help our customers ultimately achieve their goals. Our close
collaboration with NVIDIA and historical adoption of the latest GPU
accelerators, including the new NVIDIA T4, play a vital role in
helping our customers stay ahead of the curve in AI training and
inference.” — Ravi Pendekanti, senior vice president of product
management and marketing, Servers & Infrastructure Systems,
Dell EMC
“Powered by NVIDIA T4 GPUs and officially validated NGC-Ready,
Fujitsu Server PRIMERGY is a cutting-edge server with
practicability and versatility. We believe it can satisfy various
kinds of workloads desired by our customers today, such as
efficient operation of virtual desktop systems, high-speed analysis
of big data and deployment of AI.” — Kenichi Sakai, corporate
executive officer, senior vice president, head of Data Center
Platform business unit, Fujitsu Ltd
“We continue to deliver advanced performance, resiliency and
security across our server portfolio, enabling new experiences and
increased business outcomes. By combining HPE ProLiant Gen10
servers with the new NVIDIA T4 GPUs, we are broadening accelerated
computing capabilities to the mainstream. We are empowering
customers to run a wide range of workloads like machine and deep
learning, inferencing, high performance computing and VDI
environments, from the edge to cloud.”— Bill Mannel, vice president
and general manager of HPC and AI, Hewlett Packard Enterprise
“Inspur works closely with NVIDIA to keep bringing the most
powerful AI computing products to our clients in order to enable
the continuous breakthroughs in their business. The new NVIDIA T4
NGC-ready GPU feature server is fine-tuned to run the NVIDIA CUDA-X
AI acceleration libraries, providing a comprehensive solution and
service support for data scientists, supporting multiple AI
workloads while enjoying a high-quality virtual desktop
experience.”— Jun Liu, general manager of AI & HPC, Inspur
“As more enterprises begin to institute artificial intelligence
into their business operations, the need for dense servers equipped
with versatile GPU accelerators continues to grow. Together with
NVIDIA, Lenovo is providing the infrastructure necessary for
customers to successfully implement AI initiatives that lead to
data-driven insights and competitive advantage. The Lenovo
ThinkSystem SR670 supports up to eight NVIDIA T4 GPUs in 2U, and
jointly with Lenovo Intelligent Computing Orchestration (LiCO),
provides leading economies of scale for customers on their AI
journey.”— Madhu Matta, vice president and general manager of
HPC/AI, Lenovo Data Center Group
“Thanks to the excellent performance and universal capabilities
of NVIDIA T4, Sugon’s latest HPC data center solutions are able to
provide AI training/Inference, rendering and 3D design services
simply through large-scale deployment of one single kind of GPU
servers. One single kind of GPU server, which greatly reduces our
deployment and maintenance costs. For this reason, we specifically
adjusted our W760 server to give NVIDIA T4 the best performance
platforms.”— Chaoqun Sha, senior vice president, Sugon
Ecosystem partners“NVIDIA and Kinetica have enabled us to do the
impossible — render a high-fidelity 3D view of an oil basin using
100 billion data points at scale. The Kinetica Active Analytics
Platform and NVIDIA T4-powered servers bring together active
analytics and artificial intelligence to deliver a radically more
efficient way to develop oil fields by utilizing subsurface models
generated and rendered at high resolution. The combined solution
provides revolutionary performance at scale, accelerating the
output of our data scientists and geo scientists to run
GPU-accelerated models that make spatial and economic predictions
faster for the most capital-efficient recovery of resources out of
the basin.”— Sanjay Paranji, CTO at Anadarko Petroleum
Corporation
“Active analytics is the backbone of the data-driven Fourth
Industrial Revolution. With new NVIDIA T4-powered servers, our
customers have a radically more efficient way to GPU-accelerate
data workloads to keep pace with extreme velocity from an infinite
set of streaming data sources, from wearables to cars, smart
devices to connected infrastructure. In short, NVIDIA and Kinetica
help companies, cities and societies manage the make-or-break shift
from using data as a passive asset to glean insights into using
data as an active asset that can help them react immediately.” —
Paul Appleby, CEO at Kinetica
“With the age of AI upon us, mainstream data centers are looking
to adopt accelerators such as NVIDIA T4 GPUs to maximize the
impact. Having a stable control plane for these new technologies is
crucial, a need that Red Hat is helping to address by certifying
server configurations that include NVIDIA T4 GPUs on Red Hat
Enterprise Linux and Red Hat OpenShift Container Platform. This
brings the scale of our OEM partner ecosystem and certification
process to artificial intelligence use cases across the globe.” —
Stefanie Chiras, vice president and general manager of Red Hat
Enterprise Linux, Red Hat
“NVIDIA and VMware have a long history of working together to
empower organizations to maximize their data center resources.
Businesses are looking to accelerate both VDI and machine and deep
learning workloads, while maximizing their return on investment in
GPU-accelerated data center infrastructure. NVIDIA T4-powered
servers offer a solution for these organizations, along with
increased flexibility, better utilization and protection of their
VMware infrastructure investments.”— Susan Nash, senior vice
president of Strategic Corporate Alliances, VMware
About NVIDIA NVIDIA‘s (NASDAQ: NVDA) invention
of the GPU in 1999 sparked the growth of the PC gaming market,
redefined modern computer graphics and revolutionized parallel
computing. More recently, GPU deep learning ignited modern AI — the
next era of computing — with the GPU acting as the brain of
computers, robots and self-driving cars that can perceive and
understand the world. More information at
http://nvidianews.nvidia.com/.
For further information, contact:Kristin
BrysonPR Director of Artificial Intelligence, Deep Learning &
Accelerated ComputingNVIDIA
Corporation+1-203-241-9190kbryson@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: global computer companies using
NVIDIA powered servers and the availability of these servers from
the world’s largest systems manufacturers; the benefits,
performance, impact and abilities of NVIDIA-powered enterprise
servers, T4 GPUs, the NGC-Ready program and NVIDIA NGC Support
Services; T4 GPU servers being in a new class and providing greater
utility and versatility; the rapid adoption of T4 in servers
signaling the start of a new era in enterprise computing; access to
data center platforms enabling businesses to solve their most
pressing challenges and to create opportunities for customers; the
companies using NVIDIA-powered servers and those that have
completed and are starting the NGC-Ready validation process; NVIDIA
NGC Support Services giving customers access to experts and support
to run their systems; the timing and expected NCG-Ready systems
with support this year; T4 providing users with enjoyable
experiences and performance; NVIDIA making VDI easier and more
affordable; Cisco servers with NVIDIA GPUs providing users with
flexibility to maximize their infrastructure for AI/ML and
virtualization projects; Dell EMC enhancing its server portfolio to
help customers; NVIDIA customers helping to play a vital role in
helping customers stay ahead of the curve; PRIMERGY satisfying
various kinds of workloads desired by customers; HPE broadening
accelerated computing capabilities to the mainstream and empowering
customers to run a wide range of workloads; NVIDIA and Inspur
bringing the most powerful AI computing products to clients and
enabling the continuous breakthroughs in their business; the need
for dense servers equipped with versatile GPU accelerators
continuing to grow; NVIDIA and Lenovo providing the infrastructure
for customers to implement AI initiatives and economies of scale;
mainstream data centers are looking to adopt accelerators and its
impact; and addressing the need for a stable control plans and its
impact 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.
© 2019 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, CUDA-X, NVIDIA GRID, NVIDIA NGC, NVLink, Quadro, and
Tesla 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
http://www.globenewswire.com/NewsRoom/AttachmentNg/b4132aef-12f8-4795-bea8-1c8c2de82841
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