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 […]
NVIDIA and Apple’s collaboration brings native integration of NVIDIA CloudXR 6.0 to visionOS, securely delivering NVIDIA RTX-powered simulators and professional 3D graphics applications — like Immersive for Autodesk VRED on Innoactive’s XR streaming solutions — to Apple Vision Pro.
Industrial AI, digital twins, AI physics and accelerated AI infrastructure are empowering companies across industries to accelerate and scale the design, simulation and optimization of products, processes and facilities before building in the real world.
Game development teams are working across larger worlds, more complex pipelines and more distributed teams than ever. At the same time, many studios still rely on fixed, desk-bound GPU hardware for critical production work. At the Game Developers Conference (GDC) this week in San Francisco, NVIDIA is showcasing a new approach to bring together disparate […]
NVIDIA founder and CEO Jensen Huang and Dassault Systèmes CEO Pascal Daloz announced a partnership to build a shared industrial AI architecture, merging virtual twins with physics-based AI to redefine the future of design, engineering and manufacturing.
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.
The NVIDIA RTX PRO 5000 72GB Blackwell GPU is now generally available, bringing robust agentic and generative AI capabilities powered by the NVIDIA Blackwell architecture to more desktops and professionals across the world.
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 advancements in OpenUSD and NVIDIA Omniverse. Physical AI is moving from research labs into the real world, powering intelligent robots and autonomous vehicles (AVs) — such as robotaxis
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Cities worldwide face unprecedented challenges as urban populations surge and infrastructure strains to keep pace.
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.
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.
Editor’s note: This blog is a 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. Investments in industrial AI and physical AI are driving increased demand for digital twins across industries. These physically accurate, virtual replicas
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AI and graphics research breakthroughs in neural rendering, 3D generation and world simulation power robotics, autonomous vehicles and content creation.
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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Marketing leaders are accelerating content pipelines with solutions built using OpenUSD, NVIDIA Omniverse and agentic AI.
Marketing leaders are accelerating content pipelines with solutions built using OpenUSD, NVIDIA Omniverse and agentic AI.
Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehicles (AVs) across countless real-world and edge-case scenarios without the risks and costs of physical testing.
4:2:2 cameras — capable of capturing double the color information compared with most standard cameras — are becoming widely available for consumers. At the same time, generative AI video models are rapidly increasing in functionality and quality, making new tools and workflows possible. NVIDIA RTX GPUs based on the NVIDIA Blackwell architecture include dedicated hardware
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Leading solution providers are delivering real-time physical digital twins with OpenUSD, RTX, and NVIDIA Blackwell.
OpenUSD and the Mega Omniverse Blueprint enable robot fleet simulations in industrial facility digital twins.