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Runway Joins NVIDIA to Open Source World Models for Physical AI

The Cosmos Coalition is a new global initiative between Runway, NVIDIA, and leading AI labs to build and open-source frontier world models. These systems are designed for physical AI—AI that can reason about, predict, and act within the physical world. The coalition's first project is a base model co-developed specifically by Runway and NVIDIA.
Coalition Name
Cosmos Coalition
Founding Members
Runway, NVIDIA, and others
Primary Goal
Open-source world models for physical AI
First Project
Co-developed base model by Runway and NVIDIA
Coalition Structure
Shared infrastructure, mutual contribution

This partnership builds on Runway's research into a real-time video model and extends NVIDIA's Cosmos 3 release. By contributing to this ecosystem, Runway helps move world models into an open infrastructure to accelerate autonomous robotics.

Developers will gain access to these open-source base models to build customized physical AI applications. The coalition uses a shared infrastructure model, ensuring research breakthroughs remain interoperable across the ecosystem. This collaborative approach aims to drive more rapid advances in how AI systems simulate and interact with complex real-world environments.

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Introducing the Cosmos Coalition A new global initiative with NVIDIA and leading AI labs to build and open-source frontier world models for physical AI. Runway joins as a founding member, working alongside NVIDIA and a set of leading AI labs to build, share and accelerate world model research and development through a common open ecosystem.

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Still wondering? A few quick answers below.

The Cosmos Coalition is a global initiative founded by Runway, NVIDIA, and other AI labs to build and open-source frontier world models. The group aims to accelerate physical AI research by sharing infrastructure and technical contributions through a common open ecosystem rather than relying on proprietary, closed-door development.

A world model is an AI system designed to simulate and reason about the physical world, including physical laws and environmental dynamics. These models serve as a foundation for physical AI systems, such as robotics and autonomous vehicles, allowing them to predict outcomes and plan actions within real-world constraints.

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