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. NVIDIA GTC last week showcased a turning point in physical AI: Robots, vehicles and factories are scaling from single use cases and […]
The latest open models and frameworks from NVIDIA bring together simulation, robot learning and embedded compute to accelerate cloud-to-robot workflows.
India is entering a new age of industrialization, as AI transforms how the world designs, builds and runs physical products and systems. The country is investing $134 billion dollars in new manufacturing capacity across construction, automotive, renewable energy and robotics, creating both a massive challenge and opportunity to build software-defined factories from day one. At
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Open source has become essential for driving innovation in robotics and autonomy. By providing access to critical infrastructure — from simulation frameworks to AI models — NVIDIA is enabling collaborative development that accelerates the path to safer, more capable autonomous systems.
Developers, researchers, hobbyists and students can take a byte out of holiday shopping this season as NVIDIA has unwrapped special discounts on the NVIDIA Jetson family of developer kits for edge AI and robotics — available through Sunday, Jan. 11. Whether tapping into the breakthrough capabilities of Jetson AGX Thor, the versatility of Jetson AGX
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At AWS re:Invent, NVIDIA and Amazon Web Services expanded their strategic collaboration with new technology integrations across interconnect technology, cloud infrastructure, open models and physical AI. As part of this expansion, AWS will support NVIDIA NVLink Fusion — a platform for custom AI infrastructure — for deploying its custom-designed silicon, including next-generation Trainium4 chips for
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Physical AI models — which power robots, autonomous vehicles and other intelligent machines — must be safe, generalized for dynamic scenarios and capable of perceiving, reasoning and operating in real time.
Along the Pacific Ocean in Monterey, California, the Naval Postgraduate School (NPS) is making a splash all the way to Washington, D.C.: It’s using artificial intelligence to solve operational challenges while educating tomorrow’s leaders in AI skills. Like Silicon Valley, it’s not uncommon for NPS, the U.S. Navy’s flagship academic graduate university, to hold hackathons,
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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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Furthering its deep commitment to open source, NVIDIA is unveiling new open-source AI technologies for language, robotics and biology — contributing to an open ecosystem that broadens access to AI and fuels U.S. innovation. These open technologies will empower developers worldwide and strengthen economic growth through efficient reasoning, high-fidelity world generation and interactive physical AI
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This year’s ROSCon conference heads to Singapore, bringing together the global robotics developer community behind Robot Operating System (ROS) — the world’s most widely adopted open framework for building robots. At the conference, running through Wednesday, Oct. 29, NVIDIA announced collaborations with partners and the Open Source Robotics Alliance (OSRA), as well as new robotics
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Building robots that can effectively operate alongside human workers in factories, hospitals and public spaces presents an enormous technical challenge. These robots require humanlike dexterity, perception, cognition and whole-body coordination to navigate unpredictable real-world environments in real time.
The U.K. is driving investments in sovereign AI, using the technology to advance industries like manufacturing, life sciences and more. During NVIDIA founder and CEO Jensen Huang’s visit to the U.K. this week, NVIDIA highlighted how it is working with a broad ecosystem of AI makers across the nation on applications in physical and agentic
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Robots around the world are about to get a lot smarter as physical AI developers plug in NVIDIA Jetson Thor modules — new robotics computers that can serve as the brains for robotic systems across research and industry. Robots demand rich sensor data and low-latency AI processing. Running real-time robotic applications requires significant AI compute
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We’re celebrating the more than 2 million developers now using the NVIDIA robotics stack. These builders are reshaping industries across manufacturing, food delivery, agriculture, healthcare, facilities maintenance and much more.
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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Using NVIDIA digital twin technologies, Amazon Devices & Services is powering big leaps in manufacturing with a new physical AI software solution. Deployed this month at an Amazon Devices facility, the company’s innovative, simulation-first approach for zero-touch manufacturing trains robotic arms to inspect diverse devices for product-quality auditing and integrate new goods into the production
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From the heart of Germany’s automotive sector to manufacturing hubs across France and Italy, Europe is embracing industrial AI and advanced AI-powered robotics to address labor shortages, boost productivity and fuel sustainable economic growth. Robotics companies are developing humanoid robots and collaborative systems that integrate AI into real-world manufacturing applications. Supported by a $200 billion
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As a global labor shortage leaves 50 million positions unfilled across industries like manufacturing and logistics, Hexagon — a global leader in measurement technologies — is developing humanoid robots that can lend a helping hand. Industrial sectors depend on skilled workers to perform a variety of error-prone tasks, including operating high-precision scanners for reality capture
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In the face of growing labor shortages and need for sustainability, European manufacturers are racing to reinvent their processes to become software-defined and AI-driven. To achieve this, robot developers and industrial digitalization solution providers are working with NVIDIA to build safe, AI-driven robots and industrial technologies to drive modern, sustainable manufacturing. At NVIDIA GTC Paris
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