NVIDIA Wins New AI Inference Benchmarks
07 11월 2019 - 3:00AM
NVIDIA today posted the fastest results on new benchmarks measuring
the performance of AI inference workloads in data centers and at
the edge — building on the company’s equally strong position in
recent benchmarks measuring AI training.
The results of the industry’s first independent suite of AI
benchmarks for inference, called MLPerf Inference 0.5, demonstrate
the performance of NVIDIA Turing™ GPUs for data centers and NVIDIA
Xavier™ system-on-a-chip for edge computing.
MLPerf’s five inference benchmarks — applied across a range of
form factors and four inferencing scenarios — cover such
established AI applications as image classification, object
detection and translation.
NVIDIA topped all five benchmarks for both data center-focused
scenarios (server and offline), with Turing GPUs providing the
highest performance per processor among commercially available
entries1. Xavier provided the highest performance among
commercially available edge and mobile SoCs under both edge-focused
scenarios (single-stream and multi-stream)2.
“AI is at a tipping point as it moves swiftly from research to
large-scale deployment for real applications,” said Ian Buck,
general manager and vice president of Accelerated Computing at
NVIDIA. “AI inference is a tremendous computational challenge.
Combining the industry’s most advanced programmable accelerator,
the CUDA-X suite of AI algorithms and our deep expertise in AI
computing, NVIDIA can help data centers deploy their large and
growing body of complex AI models.”
Highlighting the programmability and performance of its
computing platform across diverse AI workloads, NVIDIA was the only
AI platform company to submit results across all five MLPerf
benchmarks. In July, NVIDIA won multiple MLPerf 0.6 benchmark
results for AI training, setting eight records in training
performance.
NVIDIA GPUs accelerate large-scale inference workloads in the
world’s largest cloud infrastructures, including Alibaba Cloud,
AWS, Google Cloud Platform, Microsoft Azure and Tencent. AI is now
moving to the edge at the point of action and data creation.
World-leading businesses and organizations, including Walmart and
Procter & Gamble, are using NVIDIA’s EGX edge computing
platform and AI inference capabilities to run sophisticated AI
workloads at the edge.
All of NVIDIA’s MLPerf results were achieved using NVIDIA
TensorRT™ 6 high-performance deep learning inference software that
optimizes and deploys AI applications easily in production from the
data center to the edge. New TensorRT optimizations are also
available as open source in the GitHub repository.
New Jetson Xavier NXExpanding its inference
platform, NVIDIA today introduced Jetson Xavier NX, the world’s
smallest, most powerful AI supercomputer for robotic and embedded
computing devices at the edge. Jetson Xavier NX is built around a
low-power version of the Xavier SoC used in the MLPerf Inference
0.5 benchmarks.
About NVIDIANVIDIA’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, Deep Learning and Accelerated
ComputingNVIDIA Corporation+1-203-241-9190kbryson@nvidia.com
- MLPerf v0.5 Inference results retrieved from www.mlperf.org on
Nov. 6, 2019, from entries Inf-0.5-15, Inf-0. 5-16, Inf-0.5-19,
Inf-0.5-21. Inf-0.5-22, Inf-0.5-23, Inf-0.5-27. Per-processor
performance is calculated by dividing the primary metric of total
performance by number of accelerators reported.
- MLPerf v0.5 Inference results retrieved from www.mlperf.org on
Nov. 6, 2019, from entries Inf-0.5-24, Inf-0.5-28,
Inf-0.5-29.
Certain statements in this press release including, but not
limited to, statements as to the benefits, impact, and performance
of NVIDIA Turing GPUs for data centers, the NVIDIA Xavier
system-on-a-chip for edge, NVIDIA’s TensorRT 6, and Jetson Xavier
NX; and NVIDIA’s ability to help data centers deploy complex AI
models 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, Jetson, NVIDIA Turing, TensorRT and Xavier are
trademarks and/or registered trademarks of NVIDIA Corporation in
the U.S. and other countries. MLPerf name and logo are trademarks.
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
https://www.globenewswire.com/NewsRoom/AttachmentNg/1febb056-d524-43bf-8cdf-41b965ad2c19
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