NVIDIA announced a domestic manufacturing expansion alongside suppliers and infrastructure partners, aiming to produce up to $500 billion of artificial intelligence infrastructure in the United States. According to original reporting by NVIDIA, the partner network currently spans facilities in 43 states.
As part of the initiative, Taiwan-based electronics manufacturer Wistron opened a 324,000-square-foot manufacturing plant in Fort Worth, Texas. NVIDIA Chief Executive Officer Jensen Huang joined Wistron Chairman Simon Lin at the opening event. The facility manufactures the NVIDIA GB300 Grace Blackwell Ultra Superchip and is preparing to produce the NVIDIA Vera Rubin Superchip. Wistron and NVIDIA stated the plant is part of a combined $700 million U.S. advanced manufacturing commitment that currently employs over 500 people, with plans to expand to 1,000 jobs by the end of the year.
In Phoenix, Arizona, Taiwan Semiconductor Manufacturing Company is producing NVIDIA Blackwell wafers in volume at its facility. Foxconn is constructing a factory in Houston, Texas, to build NVIDIA AI systems, including GB300 tray modules, using digital twin models built on NVIDIA software to design and validate the factory structure.
Partner expansions across states
Other component suppliers are expanding their manufacturing plants across multiple states. Networking supplier Coherent broke ground on an expanded facility in Sherman, Texas, which operates a 6-inch indium phosphide fab expected to generate 1,000 jobs. Glass manufacturer Corning is building new manufacturing facilities in North Carolina and Texas to produce optical connectivity hardware, creating more than 3,000 jobs. Optics maker Lumentum is also expanding manufacturing and research operations in North Carolina.
In Manassas, Virginia, NVIDIA collaborated with Digital Realty to develop a standardized AI factory blueprint. Equipment manufacturers including Vertiv, Schneider Electric, Eaton, Jacobs, Siemens, Trane Technologies, and GE Vernova are helping design, power, and cool the facility infrastructure. Industrial equipment maker Caterpillar is integrating NVIDIA technology and digital twins across its machinery and supply chains.
Estimates from research firm Public First project that NVIDIA-driven AI demand will contribute $485 billion to the U.S. gross domestic product in 2026. The firm estimated that AI infrastructure powered by NVIDIA chips currently supports over 100,000 direct and indirect jobs, including electricians, plumbers, HVAC technicians, pipefitters, and construction workers.
Research and healthcare deployments
Beyond hardware manufacturing, NVIDIA is participating in the National Science Foundation's State and Regional Artificial Intelligence Infrastructure Hubs program. The effort provides colleges, universities, and regional consortia with access to computing hardware, software, and data for research and education. In high-performance computing, NVIDIA, Oracle, and the U.S. Department of Energy are assembling new supercomputing systems at Argonne National Laboratory.
Medical software developers are deploying NVIDIA systems across healthcare institutions. Clinical documentation startup Abridge built a foundation model using NVIDIA Nemotron open models and the Blackwell platform, running across 300 health systems. Medical imaging company Aidoc deployed its aiOS platform across 1,300 U.S. hospitals, analyzing over 50 million domestic patient scans.
NVIDIA reported that its upcoming Rubin generation of AI infrastructure features 100% liquid cooling. The company's DSX reference design consumes zero water, while collaborative efforts with Emerald AI allow data center facilities to adjust power consumption based on local energy grid conditions.
