NVIDIA Offers Omniverse Microservices to Supercharge Physical AI

NVIDIA Omniverse Cloud Sensor RTX, a set of microservices that enable accurate sensor simulation to accelerate the development of fully autonomous machines of all kinds, is now available.

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, NVIDIA reports..

“Developing safe and reliable autonomous machines powered by generative physical AI requires training and testing in physically based virtual worlds,” says 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 Scale

Built on the OpenUSD framework and powered by NVIDIA RTX ray-tracing and neural-rendering technologies, Omniverse Cloud Sensor RTX accelerates creation of simulated environments by combining real-world data from videos, cameras, radar and lidar with synthetic data.

For scenarios with limited real-world data, the microservices can be used to simulate 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.

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.

Sources: Press materials received from the company and additional information gleaned from the company’s website.

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