NVIDIA Announces Omniverse Microservices to Supercharge Physical AI
17 June 2024 - 11:00PM
CVPR—NVIDIA today announced
NVIDIA Omniverse Cloud Sensor RTX™, a set of microservices that
enable physically accurate sensor simulation to accelerate the
development of fully autonomous machines of every kind.
Sensors, which comprise a growing, multibillion-dollar industry,
provide autonomous vehicles, humanoids, industrial manipulators,
mobile robots and smart spaces with the data needed to comprehend
the physical world and make informed decisions. With NVIDIA
Omniverse Cloud Sensor RTX, developers can test sensor perception
and associated AI software at scale in physically accurate,
realistic virtual environments before real-world deployment —
enhancing safety while saving time and costs.
“Developing safe and reliable autonomous machines powered by
generative physical AI requires training and testing in physically
based virtual worlds,” said Rev Lebaredian, vice president of
Omniverse and simulation technology at NVIDIA. “NVIDIA Omniverse
Cloud Sensor RTX microservices will enable developers to easily
build large-scale digital twins of factories, cities and even Earth
— helping accelerate the next wave of AI.”
Supercharging Simulation at ScaleBuilt on the
OpenUSD framework and powered by NVIDIA RTX™ ray-tracing and
neural-rendering technologies, Omniverse Cloud Sensor RTX
accelerates the creation of simulated environments by combining
real-world data from videos, cameras, radar and lidar with
synthetic data.
Even for scenarios with limited real-world data, the
microservices can be used to simulate a broad range of activities,
such as whether a robotic arm is operating correctly, an airport
luggage carousel is functional, a tree branch is blocking a
roadway, a factory conveyor belt is in motion, or a robot or person
is nearby.
Research Wins Drive Real-World DeploymentThe
Omniverse Cloud Sensor RTX announcement comes at the same time as
NVIDIA’s first-place win at the Computer Vision and Pattern
Recognition conference’s Autonomous Grand Challenge for End-to-End
Driving at Scale.
NVIDIA researchers’ winning workflow can be replicated in
high-fidelity simulated environments with Omniverse Cloud Sensor
RTX — giving autonomous vehicle (AV) simulation developers the
ability to test self-driving scenarios in physically accurate
environments before deploying AVs in the real world.
Ecosystem Access and Availability CARLA,
Foretellix and MathWorks are among the first software developers to
which NVIDIA is providing Omniverse Cloud Sensor RTX access for AV
development.
Omniverse Cloud Sensor RTX will also enable sensor manufacturers
to validate and integrate digital twins of their sensors in virtual
environments, reducing the time needed for physical
prototyping.
Sign up for early access to Omniverse Cloud Sensor RTX, which
will be available later this year.
About NVIDIANVIDIA (NASDAQ: NVDA) is the world
leader in accelerated computing.
For further information, contact:Janette
CiborowskiCorporate CommunicationsNVIDIA
Corporation+1-734-330-8817jciborowski@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to :the benefits, impact, and performance
of NVIDIA’s products, services, and technologies, including NVIDIA
Omniverse Cloud Sensor RTX and NVIDIA RTX ray tracing and neural
rendering technologies; third parties using or adopting our
products or technologies; NVIDIA Omniverse Cloud Sensor RTX
microservices enabling developers to easily develop large-scale
digital twins for factories, cities and even the Earth — helping
accelerate the next wave of AI 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.
Many of the products and features described herein remain in
various stages and will be offered on a when-and-if-available
basis. The statements above are not intended to be, and should not
be interpreted as a commitment, promise, or legal obligation, and
the development, release, and timing of any features or
functionalities described for our products is subject to change and
remains at the sole discretion of NVIDIA. NVIDIA will have no
liability for failure to deliver or delay in the delivery of any of
the products, features or functions set forth herein.
© 2024 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, NVIDIA Omniverse Cloud Sensor RTX and NVIDIA RTX 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/05190f92-bab3-4d87-9182-9d6a3aa68e13
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