Microsoft · Nvidia · GitHub · NVIDIA Blog
NVIDIA Cosmos Opens New Tools to Teach, Evaluate and Deploy World Models
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To help developers rapidly build world models, which help physical AI systems understand and simulate the real world, NVIDIA has expanded the Cosmos platform with new training tools, simulation checkpoints and Cosmos Data Factory blueprints.
Key facts
- For vision AI developers, the new NVIDIA Metropolis Blueprint for video search and summarization (VSS) 3.3, built on Cosmos NIM microservices, turns one prompt into an efficient video AI application
- To develop a world model specialized for egocentric manipulation, robotics research lab MicroAGI post-trained Cosmos 3 on videos of humans manipulating objects and distilled its 32-billion-parameter
- Developers can deploy core Cosmos models using updated NVIDIA Cosmos 3 NIM microservices, which deliver up to 2x faster inference with no quality loss in validated configurations, while continuous
- ADNOC uses Fogsphere’s MistIQ agentic platform, built with Cosmos and the NVIDIA Metropolis VSS Blueprint, to detect safety hazards in real time across 65 sites
Summary
Ranking top five on six different open models leaderboards, the NVIDIA Cosmos platform gives world model builders the frontier open models, as well as data, training and optimization tools and recipes, to scale training data, adapt models, test behavior and optimize for performance before deployment. Building world models begins with multimodal, multisensory data. NVIDIA Cosmos Data Factory brings together the tools and skills for labeling, curating, augmenting and evaluating data at scale for training physical AI. Cosmos Data Factory now offers the following five cloud-native blueprints and is available through GitHub, Microsoft Azure, Nebius and CoreWeave:.