NVIDIA today announced two powerful products for its EGX Edge AI
platform — the EGX A100 for larger commercial off-the-shelf servers
and the tiny EGX Jetson Xavier NX for micro-edge servers —
delivering high-performance, secure AI processing at the edge.
With the NVIDIA EGX™ Edge AI platform, hospitals, stores, farms
and factories can carry out real-time processing and protection of
the massive amounts of data streaming from trillions of edge
sensors. The platform makes it possible to securely deploy, manage
and update fleets of servers remotely.
The EGX A100 converged accelerator and EGX Jetson Xavier NX
micro-edge server are created to serve different size, cost and
performance needs. Servers powered by the EGX A100 can manage
hundreds of cameras in airports, for example, while the EGX Jetson
Xavier NX is built to manage a handful of cameras in convenience
stores. Cloud-native support ensures the entire EGX lineup can use
the same optimized AI software to easily build and deploy AI
applications.
“The fusion of IoT and AI has launched the ‘smart everything’
revolution,” said Jensen Huang, founder and CEO of NVIDIA. “Large
industries can now offer intelligent connected products and
services like the phone industry has with the smartphone. NVIDIA’s
EGX Edge AI platform transforms a standard server into a mini,
cloud-native, secure, AI data center. With our AI application
frameworks, companies can build AI services ranging from smart
retail to robotic factories to automated call centers.”
EGX A100 Powered by NVIDIA Ampere
Architecture
The EGX A100 is the first edge AI product based on the NVIDIA
Ampere architecture. As AI moves increasingly to the edge,
organizations can include EGX A100 in their servers to carry out
real-time processing and protection of the massive amounts of
streaming data from edge sensors.
It combines the groundbreaking computing performance of the
NVIDIA Ampere architecture with the accelerated networking and
critical security capabilities of the NVIDIA Mellanox® ConnectX®-6
Dx SmartNIC to transform standard and purpose-built edge servers
into secure, cloud-native AI supercomputers.
The NVIDIA Ampere architecture — the company’s eighth-generation
GPU architecture — delivers the largest-ever generational leap in
performance for a wide range of compute-intensive workloads,
including AI inference and 5G applications running at the edge.
This allows the EGX A100 to process high-volume streaming data in
real time from cameras and other IoT sensors to drive faster
insights and higher business efficiency.
“Data, AI and intelligent cloud-native applications are
transforming the enterprise edge in every industry,” said Chris
Wright, senior vice president and chief technology officer at Red
Hat. “NVIDIA’s new EGX A100 converged accelerators combined with
precompiled drivers for Red Hat Enterprise Linux and certified
operators for Red Hat OpenShift simplify deployment and management
of the hardware and help our joint customers address some of the
most demanding AI, edge and 5G workloads.”
With an NVIDIA Mellanox ConnectX-6 Dx network card onboard, the
EGX A100 can receive up to 200 Gbps of data and send it directly to
the GPU memory for AI or 5G signal processing. With the
introduction of NVIDIA Mellanox’s time-triggered transport
technology for telco (5T for 5G), EGX A100 is a cloud-native,
software-defined accelerator that can handle the most
latency-sensitive use cases for 5G. This provides the ultimate AI
and 5G platform for making intelligent real-time decisions at the
points of action — stores, hospitals and factory floors.
“We’ve been collaborating with NVIDIA to build Mavenir’s
high-performance virtualized 5G radio access network and
accelerated 5G packet core network,” said Pardeep Kohli, president
and CEO of Mavenir. “This will enable us to deliver a wide range of
new GPU-accelerated 5G services from AI/ML to AR/VR
applications.”
Small But Mighty EGX Jetson Xavier NX
The EGX Jetson Xavier NX is the world’s smallest, most powerful
AI supercomputer for microservers and edge AIoT boxes, with more
than 20 solutions now available from ecosystem partners. It packs
the power of an NVIDIA Xavier SoC into a credit card-size module.
EGX Jetson Xavier NX, running the EGX cloud-native software stack,
can quickly process streaming data from multiple high-resolution
sensors.
The energy-efficient module delivers up to 21 TOPS at 15W, or 14
TOPS at 10W. As a result, EGX Jetson Xavier NX opens the door for
embedded edge-computing devices that demand increased performance
to support AI workloads but are constrained by size, weight, power
budget or cost.
“NVIDIA Jetson and NVIDIA EGX are helping us transform retail,
making the self-checkout experience quicker and more secure,” said
Matt Scott, cofounder and CEO of Malong Technologies. “Through the
power of AI, via our RetailAI suite of offerings, it is now
possible to accurately recognize hundreds of thousands of products
in real time to create more seamless and protected shopping
experiences, easily deployable at large scale. We’re continuing to
explore NVIDIA’s powerful lineup to discover new ways to increase
customer satisfaction and decrease retail shrink, by bringing more
intelligence to the edge.”
Fully Optimized, Cloud-Native Software Across the EGX
Edge AI Platform
The EGX Edge AI platform’s cloud-native architecture allows it
to run containerized software to support a range of GPU-accelerated
workloads.
NVIDIA application frameworks include Clara for healthcare,
Aerial for telcos, Jarvis for conversational AI, Isaac for
robotics, and Metropolis for smart cities, retail, transportation
and more. They can be used together or individually and open new
possibilities for a variety of edge use cases.
With support for cloud-native technologies now available across
the entire NVIDIA EGX lineup, manufacturers of intelligent machines
and developers of AI applications can build and deploy
high-quality, software-defined features on embedded and edge
devices targeting robotics, smart cities, healthcare, industrial
IoT and more.
Global Support for EGX Ecosystem
Existing edge servers enabled with NVIDIA EGX software are
available from global enterprise computing providers Atos, Dell
Technologies, Fujitsu, GIGABYTE, Hewlett Packard Enterprise, IBM,
Inspur, Lenovo, Quanta/QCT and Supermicro. They are also available
from major server and IoT system makers such as ADLINK and
Advantech.
These servers along with optimized application frameworks can be
used by software vendors such as Whiteboard Coordinator, Deep
Vision AI, IronYun, Malong and SAFR by RealNetworks to build and
deploy healthcare, retail, manufacturing and smart cities
solutions.
Availability
The EGX A100 will be available at the end of the year.
Ready-to-deploy micro-edge servers based on the EGX Jetson Xavier
NX are available now for companies looking to create high-volume
production edge systems.
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/.
Media Contact:Kristin UchiyamaSenior PR
Managerkuchiyama@nvidia.com+1-408-313-0448
Certain statements in this press release including, but not
limited to, statements as to: the benefits, performance, features
and availability of our products and technologies, including the
EGX A100, EGX Jetson Xavier NX, NVIDIA Mellanox ConnectX-6 Dx
SmartNIC, and NVIDIA Ampere architecture; and AI revolutionizing
every industry and transforming everything 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.
© 2020 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, ConnectX, Jetson, Mellanox, NVIDIA EGX 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.
A photo accompanying this announcement is available at
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