NVIDIA today introduced Jetson Xavier™ NX, the world’s smallest,
most powerful AI supercomputer for robotic and embedded computing
devices at the edge.
With a compact form factor smaller than the size of a credit
card, the energy-efficient Jetson Xavier NX module delivers
server-class performance up to 21 TOPS for running modern AI
workloads, and consumes as little as 10 watts of power.
Jetson Xavier NX opens the door for embedded edge computing
devices that demand increased performance but are constrained by
size, weight, power budgets or cost. These include small commercial
robots, drones, intelligent high-resolution sensors for factory
logistics and production lines, optical inspection, network video
recorders, portable medical devices and other industrial IoT
systems.
“AI has become the enabling technology for modern robotics and
embedded devices that will transform industries,” said Deepu Talla,
vice president and general manager of Edge Computing at NVIDIA.
“Many of these devices, based on small form factors and lower
power, were constrained from adding more AI features. Jetson Xavier
NX lets our customers and partners dramatically increase AI
capabilities without increasing the size or power consumption of
the device.”
Jetson Xavier NX delivers up to 14 TOPS (at 10W) or 21 TOPS (at
15W), running multiple neural networks in parallel and processing
data from multiple high-resolution sensors simultaneously in a Nano
form factor (70x45mm). For companies already building embedded
machines, Jetson Xavier NX runs on the same CUDA-X AI™ software
architecture as all Jetson offerings, ensuring rapid time to market
and low development costs.
As part of NVIDIA’s one software architecture approach, Jetson
Xavier NX is supported by NVIDIA JetPack™ software development kit,
which is a complete AI software stack that can run modern and
complex AI networks, accelerated libraries for deep learning as
well as computer vision, computer graphics, multimedia and
more.
Ecosystem Support Jetson Xavier NX is receiving
strong support from the robotics and embedded devices
ecosystem.
“NVIDIA’s embedded Jetson products have been accelerating the
research, development and deployment of embedded AI solutions on
Lockheed Martin’s platforms,” said Lee Ritholtz, director and chief
architect of Applied Artificial Intelligence at Lockheed Martin.
“With Jetson Xavier NX’s exceptional performance, small form factor
and low power, we will be able to do more processing in real time
at the edge than ever before.”
“Our goal is to dramatically increase the quality and accuracy
of our optical inspection system and accelerate our move towards
industry 4.0,” said Otsuka Hiroshi, CEO of Musashi Seimitsu.
“NVIDIA Jetson Xavier NX gives us the compute capabilities to
improve our visual inspection capabilities without increasing the
size and power of our optical inspection system.”
NVIDIA also announced today that it topped all five 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 MLPerf
Inference 0.5, the industry’s first independent AI benchmark for
inference, demonstrate the inference capabilities of NVIDIA Turing™
GPUs for data centers and the NVIDIA Xavier™ system-on-a-chip for
edge. The Jetson Xavier NX module is built around a new low-power
version of the Xavier SoC used in these benchmarks.
“In a world where AI chips are announced on what seems like a
daily basis, I believe NVIDIA raised the bar with its Jetson Xavier
NX — showing that exceptional performance at small size and low
power, together with a consistent and powerful software
architecture, is what matters in embedded edge computing,” said
Patrick Moorhead, president and principal analyst of Moor Insights
& Strategy.
Jetson Xavier NX module specifications:
- GPU: NVIDIA Volta with 384 NVIDIA CUDA cores and 48 Tensor
Cores, plus 2x NVDLA
- CPU: 6-core Carmel Arm 64-bit CPU, 6MB L2 + 4MB L3
- Video: 2x 4K30 Encode and 2x 4K60 Decode
- Camera: Up to six CSI cameras (36 via virtual channels); 12
lanes (3x4 or 6x2) MIPI CSI-2
- Memory: 8GB 128-bit LPDDR4x; 51.2GB/second
- Connectivity: Gigabit Ethernet
- OS Support: Ubuntu-based Linux
- Module Size: 70x45mm
Jetson Xavier NX is the latest addition to the Jetson family,
which includes Jetson Nano™, the Jetson AGX Xavier™ series and the
Jetson TX2 series. Jetson Xavier NX offers a rich set of IOs, from
high-speed CSI and PCIe to low-speed I2Cs and GPIOs. Compatibility
with many peripherals and sensors, together with its small form
factor and big performance, will bring new capabilities to embedded
AI and industrial IoT systems.
Jetson Xavier NX is also pin-compatible with Jetson Nano,
allowing shared hardware designs and those with Jetson Nano carrier
boards and systems to upgrade to Jetson Xavier NX. It also supports
all major AI frameworks, including TensorFlow, PyTorch, MxNet,
Caffe and others.
Priced at $399, the Jetson Xavier NX module will be available in
March from NVIDIA’s distribution channels for companies looking to
create high-volume production edge systems. Developers can begin
application development today using the Jetson AGX Xavier Developer
Kit with a software patch to emulate Jetson Xavier NX.
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:Marie LabriePR
Manager NVIDIA Corporation+1-408-921-6987mlabrie@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: the benefits, impact, performance and
availability of Jetson Xavier NX; and AI as the enabling technology
for modern robotics and embedded devices that will transform
industries 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 AI, Jetson, Jetson AGX Xavier, Jetson Nano,
Jetson Xavier, NVIDIA JetPack, NVIDIA Turing 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
https://www.globenewswire.com/NewsRoom/AttachmentNg/d1b0b20d-46cd-4dd6-8757-1da249df55fe
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