The NVIDIA Physical AI initiative transforms US factories into intelligent, automated production engines. Huang highlighted this shift as a new industrial revolution. NVIDIA expanded its Mega Omniverse Blueprint with factory-scale digital twin libraries. Siemens is the first to support the blueprint, while FANUC and Foxconn Fii are the first to connect their robot models to the platform.
Record investment continues accelerating NVIDIA Physical AI adoption. In 2025 alone, companies announced $1.2 trillion in US production expansion across electronics, pharmaceuticals, and automotive manufacturing. This massive investment reflects a national commitment to restoring domestic production while solving labor shortages with advanced automation.
Major manufacturers are rapidly integrating NVIDIA Physical AI into operations. Belden, Caterpillar, Foxconn, Lucid Motors, Toyota, TSMC, and Wistron are deploying Omniverse digital twins to simulate production changes, reduce risk, cut time-to-market, and optimize factory automation before physical rollout.
Foxconn’s Houston plant is emerging as a flagship NVIDIA Physical AI deployment. The facility will build NVIDIA AI servers using humanoid robots starting in early 2026. Powered by the Isaac GR00T N1.6 model, these robots will deliver advanced reasoning, physical dexterity, and safe collaboration with human workers in mixed manufacturing lines.
A new generation of collaborative robotics defines the scope of NVIDIA Physical AI. Agility Robotics, Amazon Robotics, Figure, and Skild AI are developing humanoids capable of human-like perception, movement, and adaptive problem-solving that eliminate the need for constant reprogramming.
Latest model updates further strengthen NVIDIA Physical AI. NVIDIA introduced Cosmos Predict 2.5 for world simulation, Cosmos Reason for multimodal intelligence, and Isaac GR00T N1.6 for enhanced humanoid control. The company also released the largest open dataset for physical AI with 1,700 hours of multimodal driving sensor data.
AI factories are becoming a core pillar of industrial transformation through NVIDIA Physical AI infrastructure. Eli Lilly unveiled pharma’s largest AI factory built on DGX SuperPOD with more than 1,000 Blackwell Ultra GPUs. Hitachi is building a global AI factory to scale physical AI across mobility, energy, and industrial sectors.
Software continues to accelerate the NVIDIA Physical AI ecosystem. The expanded Mega Omniverse Blueprint now supports full robot fleet simulation and factory-scale digital twins. NVIDIA DoMINO NIM speeds aerospace and automotive engineering workflows up to 500x through AI-driven GPU acceleration.
Siemens and NVIDIA demonstrated an industry-ready tech stack for NVIDIA Physical AI. It enables manufacturers to quickly launch new AI factories, rapidly adopt GPU upgrades, and optimize energy usage through reliable industrial simulation capabilities.
Strategic timing underscores national priorities behind NVIDIA Physical AI. The US Department of Energy is partnering with NVIDIA and Oracle to build America’s largest AI supercomputer featuring 100,000 Blackwell GPUs, reinforcing physical AI manufacturing as critical to national security and economic leadership.
Looking ahead, NVIDIA Physical AI is enabling America to regain manufacturing competitiveness through smarter automation instead of low-cost labor. The combination of digital twins, humanoid robotics, and AI-optimized production offers a long-lasting edge while easing labor shortages across high-tech industries.
Witness the convergence of artificial intelligence, robotics, and advanced manufacturing reshaping America’s industrial landscape, visit ainewstoday.org for breaking coverage of factory automation innovations, humanoid robot deployments, digital twin technologies, and the AI-powered reindustrialization revolutionizing production capabilities nationwide!
