Physical AI
Accelerate physical AI development with world foundation models.
Overview
NVIDIA Cosmos™ is a platform of state-of-the-art generative world foundation models (WFM), advanced tokenizers, guardrails, and an accelerated data processing and curation pipeline built to accelerate the development of physical AI systems such as autonomous vehicles (AVs) and robots.
Benefits
Cosmos provides developers with open and easy access to highly performant world foundation models and data pipelines, making physical AI development accessible to all.
Models
A family of pre-trained models purpose-built for generating physics-aware videos and world states for physical AI development.
Learn more about model architectures, development resources, and availability here.
NVIDIA is working with the robotics and autonomous vehicle ecosystem to develop a set of benchmarks to reflect the unique requirements of physical AI applications from world foundation models.
Cosmos benchmarks are designed to evaluate the next generation of world models with advanced criteria like 3D consistency and physics alignment, essential for robotics and autonomous systems.
Compared to VideoLDM (VLDM), a baseline generative model for video synthesis, Cosmos WFMs excel in geometric accuracy with lower Sampson error and better temporal stability. Benchmarks also evaluate WFMs based on physical behaviors like gravity and collision dynamics.
Cosmos WFMs consistently outperform VLDM on visual consistency, achieving up to 14X higher pose estimation success rates. While diffusion models deliver higher fidelity out of the box, autoregressive models deliver excellent performance for custom models.
See how developers across robotics, autonomous vehicles, and vision AI can use Cosmos to advance their work.
Cosmos helps developers build bespoke datasets for their AI model training. Whether it’s snowy road footage for self-driving cars or busy warehouse scenes for robotics, Cosmos simplifies video tagging and search by understanding spatial and temporal patterns, making training data preparation easier.
This saves time, reduces costs, and helps deliver AI models that are highly relevant and impactful for real-world use.
Model developers from robotics, autonomous vehicles, and vision AI industries are using Cosmos to accelerate physical AI development.