GWM-1

NVIDIA Cosmos is a developer-first platform of state-of-the-art generative World Foundation Models (WFMs), advanced video tokenizers, guardrails, and an accelerated data processing and curation pipeline designed to supercharge physical AI development. It enables developers working on autonomous vehicles, robotics, and video analytics AI agents to generate photorealistic, physics-aware synthetic video data, trained on an immense dataset including 20 million hours of real-world and simulated video, to rapidly simulate future scenarios, train world models, and fine‑tune custom behaviors. It includes three core WFM types; Cosmos Predict, capable of generating up to 30 seconds of continuous video from multimodal inputs; Cosmos Transfer, which adapts simulations across environments and lighting for versatile domain augmentation; and Cosmos Reason, a vision-language model that applies structured reasoning to interpret spatial-temporal data for planning and decision-making.

Odyssey-2 Pro is a frontier general-purpose world model that generates continuous, interactive simulations you can integrate into products via the Odyssey API, marking a pivotal moment for world models similar to GPT-2 in language. It’s trained on large amounts of video and interaction data to learn how the world evolves frame-by-frame and outputs minutes-long simulations that can be interacted with in real time, not fixed short clips. Odyssey-2 Pro delivers improved physics, richer dynamics, more authentic behaviors, and sharper visuals by streaming 720p video at up to ~22 FPS that responds instantly to prompts and actions, and it supports embedding interactive streams, viewable streams, and parameterized simulations into applications with simple SDKs in JavaScript and Python. Developers can integrate the model with under ten lines of code to create open-ended, interactive video experiences where users’ inputs shape evolving scenes.