GTC China --
Adoption of the
NVIDIA® T4 Cloud GPU is accelerating, with more tech giants
unveiling products and services based on what is already the
fastest-adopted server GPU, NVIDIA announced today.
Following a series of announcements last week, Baidu, Tencent,
JD.com and iFLYTEK have begun using T4 to expand and accelerate
their hyperscale datacenters. In addition, China’s leading computer
makers — including Inspur, Lenovo, Huawei, Sugon, IPS and H3C —
have announced a wide range of new T4 servers.
NVIDIA T4 is being used to accelerate AI inference and training
in a broad range of fields, including healthcare, finance and
retail, which are key elements in the global high performance
computing market for enterprise and hyperscale.
This follows NVIDIA’s announcement at the recent SC18
supercomputing show that, just two months after its introduction,
T4 is featured in 57 separate server designs from the world’s
leading computer makers. Additionally, Google Cloud announced T4
availability to its Google Cloud Platform customers.
Among previously announced server companies featuring the NVIDIA
T4 are Dell EMC, Hewlett Packard Enterprise, IBM, Lenovo and
Supermicro.
“The continued rapid adoption of T4 makes complete sense, given
its unprecedented capabilities,” said Ian Buck, vice president of
Accelerated Computing at NVIDIA. “Never before have we introduced a
GPU that gives public and private clouds the combined performance
and energy efficiency they need to more economically run their
compute-intensive workloads at scale. And in markets where ‘scale’
really counts, we expect T4 to be extremely popular.”
Based on the new NVIDIA Turing™ architecture, the T4 GPU
features multi-precision Turing Tensor Cores and new RT Cores,
which, when combined with accelerated containerized software
stacks, deliver unprecedented performance at scale.
Among China server companies featuring T4 GPUs are Inspur,
Huawei, Lenovo, Sugon, Inspur Power System and H3C. Their new
systems include:
- Inspur NF5280M4 /NF5280M5/NF5288M5/NF5468M5
- Huawei G2500/2288 HV5/ 5288V5/G530 V5/G560 V5
- Lenovo ThinkSystem SR630/SR650
- Sugon X580-G30/X745-G30/X780-G30/X780-G35/X785-G30 /
X740-H30
- Inspur Power System: FP5295G2
- H3C Uniserver G4900G3
Systems are expected to begin shipping before the end of the
year.
Flexible Design, Breakthrough
PerformanceDesigned to meet the unique needs of scale-out
public and enterprise cloud environments, NVIDIA T4 maximizes
throughput, utilization and user concurrency, helping customers
efficiently address exploding user and data growth.
Roughly the size of a candy bar, the low-profile, 70-watt T4 GPU
has the flexibility to fit into a standard server or any Open
Compute Project hyperscale server design. Server designs can range
from a single T4 GPU all the way up to 20 GPUs in a single
node.
The T4 GPU’s multi-precision capabilities power breakthrough AI
performance for a wide range of AI workloads at four different
levels of precision, offering 8.1 TFLOPS at FP32, 65 TFLOPS at FP16
as well as 130 TOPS of INT8 and 260 TOPS of INT4. For AI inference
workloads, a server with two T4 GPUs can replace up to 54 CPU-only
servers. For AI training, a server with two T4 GPUs can replace
nine dual-socket, CPU-only servers.
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 for AI and High Performance ComputingNVIDIA
Corporation+1-203-241-9190kbryson@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: NVIDIA Turing T4 Cloud GPU adoption
accelerating; tech giants unveiling new products and services based
on NVIDIA T4 GPUs; the companies beginning to use T4 to expand and
accelerate their hyperscale datacenters; T4 servers being announced
by leading companies, the companies featuring T4 and what their
systems include; NVIDIA T4 GPU being the fastest-ever adopted
server GPUs; the number of server designs featuring T4s; T4 being
used to accelerate AI inference and training in a broad range of
fields including in key elements in the global high performance
computing market for enterprise and hyperscale; the availability of
T4 to Google Cloud Platform customers; the adoption of T4 making
complete sense; the benefits, performance, features and abilities
of the NVIDIA T4 GPU, including its unprecedented capabilities,
performance, energy efficiency and economy; our expectation for the
T4 to be extremely popular; T4 accelerating diverse workloads; T4
featuring multi-precision Turing Tensor Cores and new RT Cores,
which when combined with accelerated containerized software stacks,
deliver unprecedented at scale; the expected shipping of systems
before the end of the year; T4 helping customers efficiently
address exploding user and data growth; server designs ranging from
a single T4 GPU up to 20 GPUs in a single node; T4 GPUs’
capabilities powering breakthrough AI performance for AI workloads
at different levels of precision; and T4 GPUs’ ability to replace
CPUs 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.
© 2018 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo and NVIDIA Turing 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/856c2d04-5436-4813-a1ff-3c5892d9bb73
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