NVIDIA Expands Omniverse With Generative Physical AI

NVIDIA's Announcements at CES 2025 - NVIDIA announced generative AI models and blueprints that expand NVIDIA Omniverse integration into physical AI applications such as robotics, autonomous vehicles, and vision AI [1] - The company introduced new models including Cosmos World Foundation Models and Omniverse Mega Factory and Robotic Digital Twin Blueprint, laying the foundation for industrial AI [1] - Leading developers such as Accenture, Altair, Ansys, Cadence, Microsoft, and Siemens are among the first to adopt the platform libraries [1][2] Adoption of NVIDIA Omniverse by Industry Leaders - Siemens announced the availability of Teamcenter Digital Reality Viewer, the first Siemens Xcelerator application powered by NVIDIA Omniverse libraries [2] - Cadence integrated Omniverse into Allegro, its leading electronic computer-aided design application used by major semiconductor companies [8] - Altair is adopting the Omniverse blueprint for real-time CAE digital twins for interactive computational fluid dynamics (CFD) [9] - Ansys is integrating Omniverse into Ansys Fluent, a leading CAE application [9] - Neural Concept is integrating Omniverse libraries into its next-generation software products to enable real-time CFD and enhance engineering workflows [9] Applications of NVIDIA Omniverse in Industrial AI - NVIDIA Omniverse, paired with Cosmos world foundation models, creates a synthetic data multiplication engine, enabling developers to generate massive amounts of controllable, photoreal synthetic data [5] - Developers can compose 3D scenarios in Omniverse and render images or videos as outputs, which can be used with text prompts to generate synthetic virtual environments for physical AI training [5] - NVIDIA announced four new blueprints to help developers build Universal Scene Description (OpenUSD)-based Omniverse digital twins for physical AI [6] Real-World Use Cases of NVIDIA Omniverse - Accenture is using Omniverse to help KION build next-generation autonomous warehouses and robotic fleets for global warehousing and distribution customers [10] - Foretellix is using the AV simulation blueprint to enable full 3D sensor simulation for optimized AV testing and validation [11] - Katana Studio is using Omniverse spatial streaming workflow to create custom car configurators for Nissan and Volkswagen, improving the customer decision-making process [12] - Innoactive used Omniverse to add platform support for spatial streaming to Apple Vision Pro, enabling Volkswagen Group to conduct design and engineering project reviews at human-eye resolution [13] NVIDIA's Vision for Physical AI - NVIDIA's CEO Jensen Huang stated that physical AI will revolutionize the $50 trillion manufacturing and logistics industries, with everything that moves being robotic and embodied by AI [3] - NVIDIA's Omniverse digital twin operating system and Cosmos physical AI serve as the foundational libraries for digitalizing the world's physical industries [3] New Models and Frameworks for Physical AI - NVIDIA offers generative AI models that accelerate world building, labeling the world with physical attributes, and making it photoreal [4] - The USD Code and USD Search NVIDIA NIM microservices are now generally available, allowing developers to use text prompts to generate or search for OpenUSD assets [4] - The new NVIDIA Edify SimReady generative AI model can automatically label existing 3D assets with attributes like physics or materials, processing 1,000 3D objects in minutes instead of over 40 hours manually [4]