NVIDIA and Partners Build in America, for America
NVIDIA and its partners are investing in American manufacturing, supply chains, energy grids and skilled workforces so the U.S. can produce the infrastructure needed for better healthcare, breakthrough scientific discovery, stronger industrial productivity and global technology leadership.
can produce the infrastructure needed for better healthcare, breakthrough scientific discovery, stronger industrial productivity and global technology leadership. That progress depends on more than chips and AI models. It depends on the wide range of physical components behind them: advanced semiconductors, packaging, power systems, cooling, cloud capacity and much more — along with the people who build and operate it all. In 43 states and growing, NVIDIA’s network of American partners and suppliers spans semiconductors, boards, systems, racks and more. “AI is driving a once-in-a-generation opportunity to reinvigorate American manufacturing and supply chains,” said Jensen Huang, NVIDIA founder and CEO. In just the past few years, NVIDIA and its partners have onshored the most advanced semiconductor manufacturing to build and test NVIDIA Blackwell chips in Arizona, with production underway at TSMC’s Phoenix facility and new AI supercomputer manufacturing plants planned with Foxconn in Houston and Wistron in Dallas. NVIDIA plans to produce up to $500 billion of AI infrastructure in the U.S. with partners including TSMC, Foxconn, Wistron, Corning, Lumentum, Coherent and Amkor. In 2026 alone, NVIDIA-driven AI demand will contribute $485 billion to the U.S. GDP, and AI infrastructure powered by NVIDIA chips is supporting over 100,000 jobs. That means more advanced chips made in America, more systems assembled in America and more work for the contractors, technicians and engineers who are building the future. But the purpose of this buildout extends far beyond the chips and systems being produced in the U.S. It’s to accelerate what those chips and systems make possible. AI can help scientists discover medicines, forecast weather and solve problems once beyond reach. It can help computer scientists write software, operations teams strengthen supply chains, and engineers design and simulate products.
