Industrial Ecosystem Adopts Mega NVIDIA Omniverse Blueprint to Train Physical AI in Digital Twins

Advances in physical AI are enabling organizations to embrace embodied AI across their operations, bringing unprecedented intelligence, automation and productivity to the world’s factories, warehouses and industrial facilities.  Humanoid robots can work alongside human teams, autonomous mobile robots (AMRs) can navigate complex warehouse environments, and intelligent cameras and visual AI agents can monitor and optimize
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Driving Impact: NVIDIA Expands Automotive Ecosystem to Bring Physical AI to the Streets

The autonomous vehicle (AV) revolution is here — and NVIDIA is at its forefront, bringing more than two decades of automotive computing, software and safety expertise to power innovation from the cloud to the car. At NVIDIA GTC, a global AI conference taking place this week in San Jose, California, dozens of transportation leaders are
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NVIDIA Launches NVIDIA Halos, a Full-Stack, Comprehensive Safety System for Autonomous Vehicles

Physical AI is unlocking new possibilities at the intersection of autonomy and robotics — accelerating, in particular, the development of autonomous vehicles (AVs). The right technology and frameworks are crucial to ensuring the safety of drivers, passengers and pedestrians. That’s why NVIDIA today announced NVIDIA Halos — a comprehensive safety system bringing together NVIDIA’s lineup
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AI Factories, Built Smarter: New Omniverse Blueprint Advances AI Factory Design and Simulation

AI is now mainstream and driving unprecedented demand for AI factories — purpose-built infrastructure dedicated to AI training and inference — and the production of intelligence. Many of these AI factories will be gigawatt-scale. Bringing up a single gigawatt AI factory is an extraordinary act of engineering and logistics — requiring tens of thousands of
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NVIDIA Aerial Expands With New Tools for Building AI-Native Wireless Networks

The telecom industry is increasingly embracing AI to deliver seamless connections — even in conditions of poor signal strength — while maximizing sustainability and spectral efficiency, the amount of information that can be transmitted per unit of bandwidth. Advancements in AI-RAN technology have set the course toward AI-native wireless networks for 6G, built using AI
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Into the Omniverse: How OpenUSD and Synthetic Data Are Shaping the Future for Humanoid Robots

The NVIDIA Isaac GR00T Blueprint for synthetic motion data significantly accelerates the data generation and training of humanoid robots.

Into the Omniverse: OpenUSD Workflows Advance Physical AI for Robotics, Autonomous Vehicles

The next frontier of AI is physical AI. Physical AI models can understand instructions and perceive, interact and perform complex actions in the real world to power autonomous machines like robots and self-driving cars.  

Hyundai Motor Group Embraces NVIDIA AI and Omniverse for Next-Gen Mobility

Driving the future of smart mobility, Hyundai Motor Group (the Group) is partnering with NVIDIA to develop the next generation of safe, secure mobility with AI and industrial digital twins. Announced today at the CES trade show in Las Vegas, this latest work will elevate Hyundai Motor Group’s smart mobility innovation with NVIDIA accelerated computing,
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NVIDIA Makes Cosmos World Foundation Models Openly Available to Physical AI Developer Community

NVIDIA Cosmos, a platform for accelerating physical AI development, introduces a family of world foundation models — neural networks that can predict and generate physics-aware videos of the future state of a virtual environment — to help developers build next-generation robots and autonomous vehicles (AVs). World foundation models, or WFMs, are as fundamental as large
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NVIDIA Announces Isaac GR00T Blueprint to Accelerate Humanoid Robotics Development

Over the next two decades, the market for humanoid robots is expected to reach $38 billion. To address this significant demand, particularly in industrial and manufacturing sectors, NVIDIA is releasing a collection of robot foundation models, data pipelines and simulation frameworks to accelerate next-generation humanoid robot development efforts. Announced by NVIDIA founder and CEO Jensen
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