NVIDIA expands Cosmos tools for physical AI development
Cosmos is positioning itself as the default stack for world models — the systems that let robots and vehicles rehearse in simulation before touching the real world. The named adopters, from Porsche to Siemens, signal that industrial players are already past the pilot stage. Teams working on robotics or autonomous driving should compare Cosmos against building data pipelines in-house.
NVIDIA has added new tools to its Cosmos platform aimed at developers building physical AI systems. The updates help generate synthetic training data, train world models and test them before deployment. Companies including Porsche, Mercedes-Benz, Siemens, Encord, Fogsphere and LTX are using Cosmos across robotics, autonomous driving and factory operations. NVIDIA announced the expansion in a post on X, though no specific version numbers or dates were given.
From autonomous vehicles to smarter factories, companies are putting physical AI to work. We’ve added new NVIDIA Cosmos tools to help developers generate training data, train world models and test them before deployment. See how @Porsche , @MercedesBenz , @encord_team , @Siemens , @fogsphere , and @ltx_io are using Cosmos across robotics, autonomous driving and factory operations 👇 Your browser does not support the video tag. 🔗 View on Twitter 💬 3 🔄 3 ❤️ 19 👀 2319 📊 6 ⚡
