Mobile World Congress -- NVIDIA today
announced the NVIDIA EGX Edge Supercomputing Platform – a
high-performance, cloud-native platform that lets organizations
harness rapidly streaming data from factory floors, manufacturing
inspection lines and city streets to securely deliver
next-generation AI, IoT and 5G-based services at scale, with low
latency.
Early adopters of the platform – which combines NVIDIA CUDA-X™
software with NVIDIA-certified GPU servers and devices – include
Walmart, BMW, Procter & Gamble, Samsung Electronics and NTT
East, as well as the cities of San Francisco and Las Vegas.
“We’ve entered a new era, where billions of always-on IoT
sensors will be connected by 5G and processed by AI,” said Jensen
Huang, NVIDIA founder and CEO, at a keynote at the start of MWC Los
Angeles. “Its foundation requires a new class of highly secure,
networked computers operated with ease from far away.
“We’ve created the NVIDIA EGX Edge Supercomputing Platform for
this world, where computing moves beyond personal and beyond the
cloud to operate at planetary scale,” he said.
The EGX platform features software to support a wide range of
applications, including NVIDIA Metropolis, which can be used to
build smart cities and intelligent video analytics applications, as
well as the just-announced NVIDIA Aerial™ software developer kit.
Aerial allows telcos to build completely virtualized 5G radio
access networks that are highly programmable, scalable and energy
efficient, and can ultimately enable them to offer new services
such as smart factories, AR/VR and cloud gaming.
As also announced today, early ecosystem partners collaborating
with NVIDIA include Microsoft, Ericsson and Red Hat.
Global Leaders Turn to EGX for AI at the
EdgeWalmart is a pioneer user of EGX, deploying it in its
Levittown, New York, Intelligent Retail Lab — a unique, fully
operating grocery store where it’s exploring the ways AI can
further improve in-store shopping experiences.
Using EGX’s advanced AI and edge capabilities, Walmart is able
to compute in real time more than 1.6 terabytes of data generated
each second and can use AI to automatically alert associates to
restock shelves, open up new checkout lanes, retrieve shopping
carts and ensure product freshness in meat and produce
departments.
“At Walmart, we’re using AI to define the future of retail and
re-think how technology can further enhance how we operate our
stores,” said Mike Hanrahan, CEO of Walmart Intelligent Retail Lab.
“With NVIDIA’s EGX edge computing platform, Walmart’s Intelligent
Retail Lab is able to bring real-time AI compute to our store,
automate processes and free up our associates to create a better
and more convenient shopping experience for our customers.”
Samsung Electronics, in another early EGX deployment, is using
AI at the edge for highly complex semiconductor design and
manufacturing processes.
“Samsung has been an early adopter of both GPU computing and AI
from the beginning,” said Charlie Bae, executive vice president of
foundry sales and marketing at Samsung Electronics. “NVIDIA’s EGX
platform helps us to extend these manufacturing and design
applications smoothly onto our factory floors.”
Other early EGX deployments include:
- BMW — The German automaker is using
intelligent video analytics in its South Carolina manufacturing
facility to automate inspection. With EGX gathering data from
multiple cameras and other sensors in inspection lines, BMW is
helping ensure only the highest quality automobiles leave the
factory floor.
- NTT East — The Japanese telecom services giant
is using EGX in its data centers to develop new AI-powered services
in remote areas through its broadband access network. Using the
power of the EGX platform, NTT East will provide remote populations
the computing power and connectivity required to build and deploy a
wide range of AI applications at the edge.
- Procter & Gamble — The world’s leading
consumer goods company is working with NVIDIA to develop AI-enabled
applications on top of the EGX platform for the inspection of
products and packaging to help ensure they meet the highest safety
and quality standards. With powerful NVIDIA EGX edge systems in its
manufacturing plants, the company can analyze thousands of hours of
footage from inspection lines and immediately flag
imperfections.
- Las Vegas — The city is using EGX to capture
vehicle and pedestrian data to ensure safer streets and expand
economic opportunity. As part of its effort to advance its use of
AI, Las Vegas plans to use the data to autonomously manage signal
timing and other operational capabilities.
- San Francisco — The city’s Union Square
Business Improvement District is using EGX to capture real-time
pedestrian counts for local retailers, providing them a powerful
business intelligence tool for engaging with their customers more
effectively. With this data, the BID’s retailers can deliver better
customer experience, reduced waiting times and higher operational
efficiency.
Expanding EGX EcosystemNVIDIA’s EGX ecosystem
includes more than 100 technology companies worldwide, from
startups to established software vendors, cloud service providers,
and global server and device manufacturers.
To accelerate the move to edge computing, NVIDIA has expanded
its server-certification program to include a new designation,
NGC-Ready for Edge, identifying systems powered by NVIDIA T4,
Quadro RTX 8000 and V100 Tensor Core GPUs capable of running the
most demanding AI workloads at the edge. Dell Technologies, Hewlett
Packard Enterprise, Lenovo, QCT and Supermicro are among the first
to work with NVIDIA to certify their systems, now totaling more
than 20 validated servers from more than a dozen manufacturers
worldwide.
The EGX software stack architecture is supported by leading
hybrid-cloud partners Canonical, Cisco, Nutanix, Red Hat and
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 for Data Center AI, HPC and Accelerated
ComputingNVIDIA Corporation+1-203-241-9190kbryson@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: NVIDIA EGX accelerating AI, IoT, 5G
at the edge; the first companies and early adopters deploying the
EGX platform and its impact; the performance, impact, benefits and
abilities of the NVIDIA EGX Edge Supercomputing Platform, NVIDIA
Metropolis and NVIDIA Aerial software developer kit; entering into
a new era where billions of always-on IoT sensors will be connected
by 5G and processed by AI and its foundation requiring a new class
of secure networked computers operated from far away; NVIDIA EGX
Edge Supercomputing Platform being created where computing moves
beyond personal and beyond the cloud to operate at planetary scale;
the early ecosystem partners collaborating with NVIDIA; global
leaders turning to EGX for AI at the edge; how users of EGX are
deploying the technology, what they are able to do with the
technology and its impact; Walmart using AI to define the future of
retail and re-thinking how technology can enhance the operation of
their stores; NVIDIA EGX Edge Supercomputing Platform enabling
Walmart to bring real-time AI compute to their store, automate
processes and create a better and more convenient experience for
customers; NVIDIA EGX platform helping Samsung to extend
manufacturing and design applications smoothly onto their factory
floors; the size NVIDIA EGX’s ecosystem; NVIDIA accelerating the
move to edge computing by expanding its server-certification
program; and the companies that are working with NVIDIA to certify
their systems and the number of validated servers 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 and NVIDIA Aerial 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/87c09dbe-8bd2-43c5-a70a-7a78b745185b
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