In July, NVIDIA joined more than 200 companies and organizations in signing “Open Weights and American AI Leadership,” an open letter arguing that AI leadership will be measured not by any single frontier model but by whether an open ecosystem reaches every sector.
Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners, and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. Vision AI agents are becoming a practical way to automatically turn video data from the physical world into operational intelligence in factories, […]
At CVPR, NVIDIA is unveiling new physical AI agent skills that help researchers and developers speed the development of autonomous vehicles, robots and vision AI systems. The core challenge in physical AI research isn’t simply developing stronger models. It’s building a full workflow around them — reconstructing real-world scenes, generating edge-case scenarios, training policies, evaluating […]
Manufacturing’s traditional design-build-test cycle rested on a single assumption: Real-world testing was the only reliable test environment.
Manufacturing is at an inflection point. Across every major industrial economy, the pressure to do more with less — due to faster design cycles, leaner operations and strain on skilled labor pools — is accelerating the shift to AI-driven production. The question is no longer whether to adopt AI, but how fast and at what […]
Cities worldwide face unprecedented challenges as urban populations surge and infrastructure strains to keep pace.
Editor’s note: This post is part of the AI On blog series, which explores the latest techniques and real-world applications of agentic AI, chatbots and copilots. The series also highlights the NVIDIA software and hardware powering advanced AI agents, which form the foundation of AI query engines that gather insights and perform tasks to transform
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Two out of every three people are likely to be living in cities or other urban centers by 2050, according to the United Nations, meaning about 2.5 billion people could be added to urban areas by the middle of the century. This highlights an urgent need for more sustainable urban planning and public services. The
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AI is moving from the digital world into the physical one. Across factory floors and operating rooms, machines are evolving into collaborators that can see, sense and make decisions in real time. To accelerate this transformation, NVIDIA today unveiled NVIDIA IGX Thor, a powerful, industrial-grade platform built to bring real-time physical AI directly to the edge,
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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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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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Urban populations are expected to double by 2050, which means around 2.5 billion people could be added to urban areas by the middle of the century, driving the need for more sustainable urban planning and public services. Cities across the globe are turning to digital twins and AI agents for urban planning scenario analysis and
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AI is packing and shipping efficiency for the retail and consumer packaged goods (CPG) industries, with a majority of surveyed companies in the space reporting the technology is increasing revenue and reducing operational costs. Global brands are reimagining every facet of their businesses with AI, from how products are designed and manufactured to how they’re
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AI’s in fashion in France — as it is across the globe — with the technology already helping solve some of the country’s greatest challenges across research and innovation, transportation, manufacturing and many other industries. And this fashion’s here to stay. France’s National Strategy for AI, part of the broader France 2030 investment plan, includes
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The age of video analytics AI agents is here. Video is one of the defining features of the modern digital landscape, accounting for over 50% of all global data traffic. Dominant in media and increasingly important for enterprises across industries, it is one of the largest and most ubiquitous data sources in the world. Yet
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Editor’s note: The name of the NVIDIA AgentIQ toolkit was changed to NVIDIA Agent Intelligence in April 2025. All references to the name have been updated in this blog. AI agents are the new digital workforce, transforming business operations, automating complex tasks and unlocking new efficiencies. Now, with the ability to collaborate, these agents can
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Teaching autonomous robots and vehicles how to interact with the physical world requires vast amounts of high-quality data. To give researchers and developers a head start, NVIDIA is releasing a massive, open-source dataset for building the next generation of physical AI. Announced at NVIDIA GTC, a global AI conference taking place this week in San
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More than 90 million new vehicles are introduced to roads across the globe every year, leading to an annual 12% increase in traffic congestion — according to NoTraffic, a member of the NVIDIA Inception program for cutting-edge startups and the NVIDIA Metropolis vision AI ecosystem. Still, 99% of the world’s traffic signals run on fixed
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The next big moment in AI is in sight — literally. Today, more than 1.5 billion enterprise level cameras deployed worldwide are generating roughly 7 trillion hours of video per year. Yet, only a fraction of it gets analyzed. It’s estimated that less than 1% of video from industrial cameras is watched live by humans,
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