NVIDIA has officially launched its latest NVIDIA Omniverse libraries and NVIDIA Cosmos world foundation models (WFMs), designed to speed up the creation and deployment of advanced robotics solutions.
By leveraging the power of new NVIDIA RTX PRO Servers and NVIDIA DGX Cloud, these tools enable developers worldwide to build physically accurate digital twins, capture and reconstruct real-world environments in simulation, generate synthetic datasets for training physical AI models, and design AI agents capable of understanding the physical world.
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Rev Lebaredian, Vice President of Omniverse and Simulation Technologies at NVIDIA, emphasized the impact of this innovation, stating that the fusion of computer graphics and AI is transforming robotics. According to him, combining AI reasoning with scalable, physics-accurate simulation empowers developers to create the next generation of robots and autonomous vehicles, reshaping industries worth trillions.
Advancing Industrial AI with New Omniverse Libraries
NVIDIA has introduced enhanced Omniverse software development kits (SDKs) and libraries for industrial AI and robotics simulation. The updates allow seamless data interoperability between MuJoCo (MJCF) and Universal Scene Description (OpenUSD), benefiting over 250,000 MJCF robot-learning developers. The new Omniverse NuRec libraries also bring Omniverse RTX ray-traced 3D Gaussian splatting, enabling developers to capture, reconstruct, and simulate the real world in 3D from sensor data.
Moreover, NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 are now open-source on GitHub, featuring NuRec neural rendering and new OpenUSD-based schemas to narrow the gap between simulation and real-world performance. Integration with CARLA and collaborations with companies like Foretellix, Voxel51, Ford, and Porsche further extend these capabilities.
Transforming Robotics with Cosmos WFMs
Cosmos WFMs, already downloaded over two million times, allow developers to train robots at scale using diverse prompts. The upcoming Cosmos Transfer-2 simplifies prompts and accelerates photorealistic synthetic data creation, while a distilled version dramatically reduces processing time, enabling faster model execution on NVIDIA RTX PRO Servers. Companies such as Lightwheel, Moon Surgical, and Skild AI are already leveraging this technology.
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Introducing Cosmos Reason for World Understanding
The new Cosmos Reason model brings human-like reasoning to vision AI and robotics. With 7 billion parameters, it supports complex planning, environment interpretation, and decision-making. From autonomous vehicle adaptation with Magna to urban safety solutions with VAST Data, Milestone Systems, and Linker Vision, Cosmos Reason is enabling smarter, more adaptable AI systems.
Powerful Infrastructure for Demanding AI Workloads
To maximize these innovations, NVIDIA has introduced RTX PRO Blackwell Servers and expanded DGX Cloud availability through Microsoft Azure Marketplace, streamlining AI-driven robotics development. Partnerships with Accenture, Hexagon, and AOUSD members further strengthen the developer ecosystem through certifications, open-source frameworks, and real-world training solutions.
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