NVIDIA has announced that several major U.S. manufacturers, industrial software developers, and robotics companies are using its Omniverse technologies to develop advanced robotic factories and collaborative robots. This initiative aims to address labor shortages and support the reindustrialization of the United States.
“AI is transforming the world’s factories into intelligent thinking machines — the engines of a new industrial revolution,” said Jensen Huang, founder and CEO of NVIDIA. “Together with American’s manufacturing leaders, we’re building physical AI, Omniverse digital twins and collaborative robots that will drive productivity, resilience and competitiveness across the U.S. industrial base.”
The company revealed an expansion of its “Mega” NVIDIA Omniverse Blueprint, which now includes libraries for designing and simulating factory-scale digital twins. Siemens is the first to integrate its digital twin software with this blueprint through its Xcelerator platform. The technology allows engineers to create large-scale digital twins by combining realistic 3D models with live operational data for simulation, optimization, and real-time monitoring.
Robot manufacturers FANUC and Foxconn Fii are among the first to offer support for 3D OpenUSD-based digital twins of their robots. This makes it easier for manufacturers to incorporate equipment into their virtual factory environments.
During his keynote at NVIDIA GTC in Washington, D.C., Huang demonstrated how Foxconn is using these technologies to design and optimize a new facility in Houston, Texas dedicated to manufacturing NVIDIA AI infrastructure systems.
In 2025, investments totaling $1.2 trillion were announced for expanding U.S. production capacity across electronics, pharmaceuticals, and semiconductors sectors. Companies such as Belden have implemented Accenture’s Physical AI Orchestrator—which combines NVIDIA Omniverse libraries with other platforms—to enable real-time safety monitoring and quality inspection in factories.
Caterpillar is utilizing Omniverse for creating digital twins of its factories and supply chains for predictive maintenance and workflow automation using NVIDIA NIM microservices. Lucid Motors applies Omniverse for real-time factory planning while Toyota uses idealworks’ iw.sim technology at its Georgetown facility to explore automation scenarios.
TSMC employs Omniverse in fab design at its Phoenix location alongside the NVIDIA Isaac platform for robotics development aimed at improving productivity. Wistron uses various NVIDIA technologies in Fort Worth for rigorous system testing during assembly processes.
Robotics firms are also leveraging NVIDIA’s three-computer architecture to deploy fleets of advanced robots designed to bridge skills gaps in industry settings. Figure is collaborating with NVIDIA on humanoid robotics using accelerated computing platforms like Helix vision language action model and Isaac simulation tools.
Agility Robotics’ Digit robot utilizes Isaac Lab framework powered by Jetson AGX Thor modules for reinforcement learning tasks relevant in dynamic environments such as manufacturing facilities.
Amazon Robotics benefits from Omniverse frameworks by reducing development times on manipulation systems running on Jetson platforms; their BlueJay multi-arm manipulator moved from concept to production within just over a year due partly to simulation training.
Skild AI is developing a general-purpose robotics foundation model trained via Isaac Lab while FieldAI focuses on cross-embodied robot brains using synthetic data generation through Isaac Sim.
NVIDIA continues providing edge solutions along with cloud service partners like Google Cloud—which now offers G4 instances powered by RTX PRO 6000 Blackwell Server Edition GPUs—and Microsoft Azure preparing similar offerings both publicly and at distributed edge locations.
“Learn more about how NVIDIA and partners are advancing AI innovation in the U.S. by watching the NVIDIA GTC Washington, D.C., keynote by Huang.”