NVIDIA Provides U.S. Postal Service AI Technology to Improve Delivery Service
November 05 2019 - 11:00AM
GTC DC -- NVIDIA today announced that the
United States Postal Service – the world’s largest postal service,
with 485 million mail pieces processed and delivered daily – is
adopting end-to-end AI technology from NVIDIA to improve its
package data processing efficiency.
The new system starts with high-performance servers powered by
NVIDIA V100 Tensor Core GPUs and deep learning software to train
multiple AI algorithms. The trained models are then deployed to
NVIDIA EGX edge computing systems at close to 200 Postal Service
facilities throughout the U.S. to enable more efficient package
data processing. The NVIDIA-powered systems are being purchased by
the Postal Service under contract with Hewlett Packard
Enterprise.
“AI is transforming multiple industries, enabling processes,
accuracy and efficiency not possible before,” said Anthony Robbins,
vice president of the Federal Sector Business at NVIDIA. “The U.S.
Postal Service’s adoption of AI demonstrates how this powerful
technology can improve an excellent service that we rely on every
day. Benjamin Franklin would be proud.”
The Postal Service operates the world’s highest volume logistics
operation, processing and delivering some 146 billion pieces of
mail annually, including more than 6 billion packages. The new AI
system will process package data 10x faster and with higher
accuracy.
Engineering teams from the Postal Service and NVIDIA have been
collaborating for several months to develop AI models, using NVIDIA
software including TensorRT™ for high-throughput, low-latency
inference optimization; automatic mixed precision in PyTorch to
accelerate training while maintaining model accuracy; NGC
containers, which are GPU-optimized for streamlining software
deployment; and DeepOps tools for optimizing GPU clusters.
Delivery and testing of the system will start this year and it
is expected to be fully operational by spring of 2020.
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:Ken
BrownDirector of Corporate CommunicationsNVIDIA
Corp.+1-510-290-2603kebrown@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to the benefits, impact, and performance
of NVIDIA V100 Tensor Core GPUs with deep learning software, and
the United States Postal Service’s adoption of AI; and the expected
timing of delivery, testing and readiness of the AI system 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 and TensorRT 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
https://www.globenewswire.com/NewsRoom/AttachmentNg/8035c178-21d4-4b80-9576-eac3f6876b55.
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