GPU Technology Conference—NVIDIA today announced
the Jetson Nano™, an AI computer that makes it possible to create
millions of intelligent systems.
The small but powerful CUDA-X™ AI computer
delivers 472 GFLOPS of compute performance for running modern AI
workloads and is highly power-efficient, consuming as little as 5
watts.
Unveiled at the GPU Technology Conference by
NVIDIA founder and CEO Jensen Huang, Jetson Nano comes in two
versions — the $99 devkit for developers, makers and enthusiasts
and the $129 production-ready module for companies looking to
create mass-market edge systems.
Jetson Nano supports high-resolution sensors,
can process many sensors in parallel and can run multiple modern
neural networks on each sensor stream. It also supports many
popular AI frameworks, making it easy for developers to integrate
their preferred models and frameworks into the product.
Jetson Nano joins the Jetson™ family lineup,
which also includes the powerful Jetson AGX Xavier™ for fully
autonomous machines and Jetson TX2 for AI at the edge. Ideal for
enterprises, startups and researchers, the Jetson platform now
extends its reach with Jetson Nano to 30 million makers,
developers, inventors and students globally.
“Jetson Nano makes AI more accessible to
everyone — and is supported by the same underlying architecture and
software that powers our nation’s supercomputers,” said Deepu
Talla, vice president and general manager of Autonomous Machines at
NVIDIA. “Bringing AI to the maker movement opens up a whole new
world of innovation, inspiring people to create the next big
thing.”
Jetson Nano Developer KitThe
power of AI is largely out of reach for the maker community and in
education because typical technologies do not pack enough computing
power and lack an AI software platform.
At $99, the Jetson Nano Developer Kit brings the
power of modern AI to a low-cost platform, enabling a new wave of
innovation from makers, inventors, developers and students. They
can build AI projects that weren’t previously possible and take
existing projects to the next level — mobile robots and drones,
digital assistants, automated appliances and more.
The kit comes with out-of-the-box support for
full desktop Linux, compatibility with many popular peripherals and
accessories, and ready-to-use projects and tutorials that help
makers get started with AI fast. NVIDIA also manages the Jetson
developer forum, where people can get answers to technical
questions.
“The Jetson Nano Developer Kit is exciting
because it brings advanced AI to the DIY movement in a really
easy-to-use way,” said Chris Anderson of DIY Robocars, DIY Drones
and the Linux Foundation’s Dronecode project. “We’re planning to
introduce this technology to our maker communities because it’s a
powerful, fun and affordable platform that’s a great way to teach
deep learning and robotics to a broader audience.”
Jetson Nano ModuleIn the past,
companies have been constrained by the challenges of size, power,
cost and AI compute density. The Jetson Nano module brings to life
a new world of embedded applications, including network video
recorders, home robots and intelligent gateways with full analytics
capabilities. It is designed to reduce overall development time and
bring products to market faster by reducing the time spent in
hardware design, test and verification of a complex, robust,
power-efficient AI system.
The design comes complete with power management,
clocking, memory and fully accessible input/outputs. Because the AI
workloads are entirely software defined, companies can update
performance and capabilities even after the system has been
deployed.
“Cisco Collaboration is on a mission to connect
everyone, everywhere for rich and immersive meetings,” said Sandeep
Mehra, vice president and general manager for Webex Devices at
Cisco. “Our work with NVIDIA and use of the Jetson family lineup is
key to our success. We’re able to drive new experiences that enable
people to work better, thanks to the Jetson platform’s advanced AI
at the edge capabilities.”
To help customers easily move AI and machine
learning workloads to the edge, NVIDIA worked with Amazon Web
Services to qualify AWS Internet of Things Greengrass to run
optimally with Jetson-powered devices such as Jetson Nano.
“Our customers span very diverse industries,
including energy management, industrial, logistics, and smart
buildings and homes,” said Dirk Didascalou, vice president of IoT,
Amazon Web Services, Inc. “Players in all of these industries are
building intelligence and computer vision into their applications
to take action at the edge in near real time. AWS IoT Greengrass
allows our customers to perform local inference on Jetson-powered
devices and send pertinent data back to the cloud to improve model
training.”
One Software Stack Across the Entire
Jetson FamilyNVIDIA CUDA-X is a collection of over 40
acceleration libraries that enable modern computing applications to
benefit from NVIDIA’s GPU-accelerated computing platform. JetPack
SDK™ is built on CUDA-X and is a complete AI software stack with
accelerated libraries for deep learning, computer vision, computer
graphics and multimedia processing that supports the entire Jetson
family.
The JetPack includes the latest versions of
CUDA, cuDNN, TensorRT™ and a full desktop Linux OS. Jetson is
compatible with the NVIDIA AI platform, a decade-long,
multibillion-dollar investment that NVIDIA has made to advance the
science of AI computing.
Reference Platforms to Prototype
QuicklyNVIDIA has also created a reference platform to
jumpstart the building of AI applications by minimizing the time
spent on initial hardware assembly. NVIDIA JetBot™ is a small
mobile robot that can be built with off-the-shelf components and
open sourced on GitHub.
Jetson Nano System Specs and
SoftwareKey features of Jetson Nano include:
- GPU: 128-core NVIDIA Maxwell™ architecture-based GPU
- CPU: Quad-core ARM® A57
- Video: 4K @ 30 fps (H.264/H.265) / 4K @ 60 fps (H.264/H.265)
encode and decode
- Camera: MIPI CSI-2 DPHY lanes, 12x (Module) and 1x (Developer
Kit)
- Memory: 4 GB 64-bit LPDDR4; 25.6 gigabytes/second
- Connectivity: Gigabit Ethernet
- OS Support: Linux for Tegra®
- Module Size: 70mm x 45mm
- Developer Kit Size: 100mm x 80mm
AvailabilityThe NVIDIA Jetson
Nano Developer Kit is available now for $99. The Jetson Nano module
is $129 (in quantities of 1,000 or more) and will begin shipping in
June. Both will be sold through NVIDIA’s main global distributors.
Developer kits can also be purchased from maker channels, Seeed
Studio and SparkFun.
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
+1-408-313-0448 kuchiyama@nvidia.com
Certain statements in this press release
including, but not limited to, statements as to: the benefits,
impact, performance and abilities of Jetson Nano, Jetson Nano
Developer Kit, Jetson Nano module and JetPack SDK; Jetson Nano
running all AI models and ability to create millions of intelligent
systems; Jetson Nano supporting many frameworks making it easy for
developers to integrate their models and frameworks into the
product; Jetson products extending its reach to users globally;
Jetson Nano making AI more accessible to everyone and bringing AI
to the maker movement opening up a new world of innovation and
inspiring the next big thing; Jetson Nano Developer Kit bringing
the power of modern AI, enabling a new wave of innovation; enabling
AI projects that were not possible before and taking existing
projects to the next level; excitement over the Jetson Nano
Developer Kit bringing AI to the DIY movement and the reasons for
the planned introduction of the technology to maker communities;
the Jetson Nano module opening up a new world of embedded
applications, its ability to bring products to market faster and
companies’ ability to update performance and capabilities after the
system has been deployed; Cisco’s mission, work with NVIDIA and
Jetson being the key to its success and its ability to drive new
experiences that enable people to work better due to Jetson; the
benefits of Jetson and AWS Internet of Things Greengrass working
together and it enabling customers to perform inference on Jetson
devices and help improve model training; players in industries
building intelligence and computer visions into their applications;
and the availability of the Jetson Nano Developer Kit and Jetson
Nano module 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, Jetson, Jetson AGX Xavier, Jetson
Nano, NVIDIA JetBot, NVIDIA JetPack 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
http://www.globenewswire.com/NewsRoom/AttachmentNg/db249e89-59ea-4a2e-8733-c86a9ab16cb0
NVIDIA (NASDAQ:NVDA)
Historical Stock Chart
From Mar 2024 to Apr 2024
NVIDIA (NASDAQ:NVDA)
Historical Stock Chart
From Apr 2023 to Apr 2024