Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA Omniverse libraries to help carry out that work — building applications for exploring scenarios, investigating failures and improving designs. Developers direct AI agents through […]
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.
Manufacturing’s traditional design-build-test cycle rested on a single assumption: Real-world testing was the only reliable test environment.
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.
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.
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.
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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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.
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.
The NVIDIA Isaac GR00T Blueprint for synthetic motion data significantly accelerates the data generation and training of humanoid robots.
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.
Tools like NVIDIA Isaac Sim enhance synthetic data generation, improving AI model performance and accelerating robotics development.
Interactive 3D tools built by NVIDIA Omniverse developers are helping brands deliver tailored, high-quality marketing content at scale.
SyncTwin’s application enables teams to optimize industrial efficiency while enhancing sustainability across manufacturing processes.
Leading German automotive technology company enhances manufacturing workflows with OpenUSD-powered virtual factory solutions.