NVIDIA has unveiled a groundbreaking expansion of its Omniverse platform, introducing advanced generative physical AI technologies that promise to transform robotics, autonomous vehicles, and manufacturing sectors.

The announcement marks a significant leap forward in industrial digitization, with major tech players already adopting the new capabilities.

The expansion introduces powerful new tools, including the Cosmos World Foundation Models and NVIDIA Edify SimReady Generative AI Model, designed to accelerate the development of next-generation AI applications.

These innovations enable developers to generate massive amounts of synthetic data and create sophisticated digital twins for industrial applications.

Leading technology companies, including Microsoft, Siemens, Accenture, Altair, Ansys, and Cadence, have already embraced NVIDIA’s Omniverse libraries. Notably, Siemens has launched its Teamcenter Digital Reality Viewer, becoming the first Siemens Xcelerator application powered by NVIDIA Omniverse technology.

The integration of generative physical AI represents a pivotal moment in industrial automation. The Cosmos World Foundation Models, trained on 20 million hours of video, can predict and generate physics-aware videos of future environmental states.

Meanwhile, the Edify SimReady model can process and label 1,000 3D objects in minutes, dramatically reducing the time required for manual labeling from over 40 hours.

NVIDIA’s founder and CEO, Jensen Huang, emphasized the transformative potential of this technology, stating, “Physical AI will revolutionize the $50 trillion manufacturing and logistics industries. Everything that moves — from cars and trucks to factories and warehouses — will be robotic and embodied by AI.”

The platform’s expansion includes sophisticated tools like the Mega Omniverse Sensor RTX APIs, which enable developers to test robot fleets in digital twin environments before real-world deployment. These capabilities extend to autonomous vehicle simulation, offering immersive streaming applications and real-time physics visualization.

The technology streamlines world-building for physical AI simulation through a three-step process: initial world-building, physical attribute labeling, and photorealistic rendering. Developers can now use text prompts to generate or search for OpenUSD assets, significantly accelerating the creation of synthetic virtual environments.

This advancement has far-reaching implications for industrial automation and efficiency. By enabling the rapid development of sophisticated robots and autonomous systems, NVIDIA’s technology paves the way for more responsive and efficient manufacturing and logistics operations.

The ability to create and test systems in virtual environments before physical deployment reduces risks and costs while improving safety and reliability.

Looking ahead, NVIDIA’s integration of generative physical AI into Omniverse positions the company at the forefront of industrial digital transformation. As more companies adopt these technologies, we can expect to see accelerated innovation in manufacturing, logistics, and autonomous systems, fundamentally changing how industries operate in the digital age.

News Source: https://nvidianews.nvidia.com/news/nvidia-expands-omniverse-with-generative-physical-ai