NVIDIA announced generative AI models and blueprints that expand NVIDIA Omniverse integration further into physical AI applications such as robotics, autonomous vehicles and vision AI. Global leaders in software development and professional services are using Omniverse to develop new products and services that will accelerate the next era of industrial AI.
“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,” said Jensen Huang, founder and CEO at NVIDIA. “NVIDIA’s Omniverse digital twin operating system and Cosmos physical AI serve as the foundational libraries for digitalizing the world’s physical industries.”
NVIDIA offers generative AI models that accelerate each step. The USD Code and USD Search NVIDIA NIM microservices are now generally available, letting developers use text prompts to generate or search for OpenUSD assets. A new NVIDIA Edify SimReady generative AI model unveiled today can automatically label existing 3D assets with attributes like physics or materials, enabling developers to process 1,000 3D objects in minutes instead of over 40 hours manually.
NVIDIA Omniverse, paired with new NVIDIA Cosmos world foundation models, creates a synthetic data multiplication engine — letting developers easily generate massive amounts of controllable, photoreal synthetic data. Developers can compose 3D scenarios in Omniverse and render images or videos as outputs. These can then be used with text prompts to condition Cosmos models to generate countless synthetic virtual environments for physical AI training.
At CES, NVIDIA introduced four new Omniverse blueprints designed to streamline the creation of Universal Scene Description (OpenUSD)-based digital twins.
The Mega blueprint uses Omniverse Sensor RTX APIs to develop and test robot fleets in industrial and warehouse digital twins before real-world deployment. The Autonomous Vehicle (AV) Simulation blueprint enables developers to replay driving scenarios, generate ground-truth data, and conduct closed-loop testing, accelerating AV pipelines.
Omniverse Spatial Streaming to Apple Vision Pro supports immersive applications for large-scale digital twins, while Real-Time Digital Twins for CAE leverages NVIDIA CUDA-X and physics AI for real-time physics visualization.
These innovations enhance simulation, testing, and visualization capabilities, solidifying NVIDIA’s Omniverse as a critical platform for advancing industrial and robotic systems.
