NVIDIA Teams with Amazon Web Services to Bring AI to Millions of Connected Devices
March 18 2019 - 8:02PM
GPU Technology Conference—NVIDIA today announced a
collaboration with Amazon Web Services (AWS) IoT on NVIDIA® Jetson™
to enable customers to deploy AI and deep learning to millions of
connected devices.
This joint solution enables models to be easily created, trained
and optimized on AWS, then deployed to Jetson-powered edge devices
using AWS IoT Greengrass.
The NVIDIA Jetson platform offers AI at the edge with
high-performance and power-efficient computing. Applications
include autonomous machines and smart cameras for industries such
as retail, manufacturing, agriculture and more.
AWS IoT Greengrass seamlessly extends AWS to edge devices,
including machine learning inference, so they can act locally on
the data they generate while still using the cloud for management,
analytics and durable storage. Jetson-powered devices perform
inference at the edge to take near real-time action using AWS IoT
Greengrass. Data is then sent back to machine learning services
such as Amazon SageMaker to improve model accuracy.
Jetson comes with a comprehensive set of software tools and
SDKs, including NVIDIA JetPack™. It also supports multiple
frameworks such as MXNet, Caffe, TensorFlow and PyTorch, so
developers can use these algorithms to quickly deploy real-world
applications.
“Jetson is a high-performance computer that’s built on the same
architecture and unified software that powers the world’s fastest
supercomputers,” said Deepu Talla, vice president and general
manager of Autonomous Machines at NVIDIA. “We offer the new Jetson
Nano all the way to Jetson AGX Xavier, so IoT devices can now scale
from small IoT devices to powerful IoT gateways.”
Jetson and AWS IoT Greengrass make it easy to deploy machine
learning models optimized to run on IoT devices. Customers can save
bandwidth and cost by running near real-time inference directly on
a Jetson-powered device instead of sending data to the cloud
first.
A Variety of Use Cases Made SmarterJetson
brings AI to applications that were once unimaginable. In
high-precision agriculture, Jetson-powered cameras running AWS IoT
Greengrass can target weeds in near real time, capture previously
unidentified weeds, upload anomalies to the cloud, and retrain and
deploy the model quickly. This powerful technology combination
makes agriculture smarter and more efficient to help feed the
world’s growing population.
For automated optical inspection, product defects can be quickly
identified on factory floors to avoid delays on manufacturing
assembly lines. This increases productivity and minimizes losses to
improve overall operational efficiency.
In retail, Jetson-powered devices can monitor inventory,
customer behavior, and checkout and process data on the edge, using
AWS IoT Greengrass to deploy trained neural networks. This brings
operational efficiencies and scale to the retail industry.
AWS will be showcasing a variety of IoT, machine learning and
robotics demonstrations powered by Jetson devices at NVIDIA GTC
this week. Stop by AWS booth 1221 or the Jetson pavilion 1543 and
1545 to see AWS IoT Greengrass and Jetson in action.
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
UchiyamaSr. PR Manager, Autonomous MachinesNVIDIA
Corporation+1-408-313-0448kuchiyama@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: NVIDIA collaborating with AWS to
enable customers to deploy AI and deep learning to millions of
connected devices; AWS IoT Greengrass enabling NVIDIA Jetson to
deploy AI for edge devices and models to be created, trained and
deployed to Jetson-powered edge devices; the benefits, impact,
performance and abilities of the NVIDIA Jetson platform and AWS IoT
Greengrass, including in high-precision agriculture, automated
optical inspection and retail; Jetson being built on the same
architecture and software that powers the world’s fastest
computers; NVIDIA’s Jetson offerings that enable IoT to scale from
small devices to powerful gateways; Jetson and AWS IoT Greengrass
making it easy to deploy machine learning models optimized to run
on IoT devices and their ability to save customers bandwidth and
cost by running inference on Jetson-powered devices; Jetson
bringing AI to applications that were once unimaginable; and AWS’
showcase of products at GTC 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, NVIDIA AGX, NVIDIA Jetpack, NVIDIA Jetson and Xavier
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.
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