NVIDIA today announced new NVIDIA Omniverse™ libraries and NVIDIA Cosmos™ world foundation models (WFMs) that accelerate the development and deployment of robotics solutions.
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Physical AI is becoming the foundation of smart cities, facilities and industrial processes across the globe. NVIDIA is working with companies including Accenture, Avathon, Belden, DeepHow, Milestone Systems and Telit Cinterion to enhance operations across the globe with physical AI-based perception and reasoning. The continuous loop of simulating, training and deploying physical AI offers sophisticated
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NVIDIA Research Shapes Physical AI
AI and graphics research breakthroughs in neural rendering, 3D generation and world simulation power robotics, autonomous vehicles and content creation.
AI agents are poised to deliver as much as $450 billion from revenue gains and cost savings by 2028, according to Capgemini. Developers building these agents are turning to higher-performing reasoning models to improve AI agent platforms and physical AI systems. At SIGGRAPH, NVIDIA today announced an expansion of two model families with reasoning capabilities
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Packing the power of the NVIDIA Blackwell architecture in compact, energy-efficient form factors, the NVIDIA RTX PRO 4000 Blackwell SFF Edition and NVIDIA RTX PRO 2000 Blackwell GPUs are coming soon — delivering AI acceleration for professional workflows across industries. Applications are becoming increasingly AI accelerated, and more users need AI performance, no matter the
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NVIDIA today announced that the NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU is coming to the world’s most popular enterprise servers, speeding the shift from traditional CPU systems to accelerated computing platforms.
Turning real-world environments into interactive simulation no longer requires days or weeks of work. With NVIDIA Omniverse NuRec and 3DGUT (3D Gaussian with…
Turning real-world environments into interactive simulation no longer requires days or weeks of work. With NVIDIA Omniverse NuRec and 3DGUT (3D Gaussian with Unscented Transforms), you can reconstruct photorealistic 3D scenes from simple sensor data and deploy them in NVIDIA Isaac Sim or CARLA Simulator—instantly. This post walks you through how to capture real-world data…
First unveiled at NVIDIA GTC 2025, NVIDIA Cosmos Reason is an open and fully customizable reasoning vision language model (VLM) for physical AI and robotics….
First unveiled at NVIDIA GTC 2025, NVIDIA Cosmos Reason is an open and fully customizable reasoning vision language model (VLM) for physical AI and robotics. The VLM enables robots and vision AI agents to reason using prior knowledge, physics understanding, and common sense to understand and act in the real world. Given a video and a text prompt, the system first turns the video into tokens…
At SIGGRAPH, NVIDIA announced updates to the NVIDIA Omniverse libraries and Cosmos world foundation models (WFMs). Powered by OpenUSD, developers can access new…
At SIGGRAPH, NVIDIA announced updates to the NVIDIA Omniverse libraries and Cosmos world foundation models (WFMs). Powered by OpenUSD, developers can access new libraries, models, and development tools for building physically accurate virtual environments and AI agents that understand the real world. Simulating robots that understand and interact quickly and reliably with the real world is…
As physical AI systems advance, the demand for richly labeled datasets is accelerating beyond what we can manually capture in the real world. World foundation…
As physical AI systems advance, the demand for richly labeled datasets is accelerating beyond what we can manually capture in the real world. World foundation models (WFMs), which are generative AI models trained to simulate, predict, and reason about future world states based on the dynamics of real-world environments, can help overcome this data challenge. NVIDIA Cosmos is a platform for…