NVIDIA (NVDA) Launches Major U.S. Manufacturing Push for AI Supercomputers

NVIDIA (NVDA), the global leader in AI chip design, has announced plans to manufacture up to $500 billion worth of AI supercomputing hardware within the United States over the next four years.

This marks a major milestone for the company, representing the first time its entire AI technology stack will be built on American soil. The initiative involves strategic collaboration with international production partners to develop and run cutting-edge facilities across the country.

“The engines of the world’s AI infrastructure are being built in the United States for the first time.

Adding American manufacturing helps us better meet the incredible and growing demand for AI chips and supercomputers, strengthens our supply chain and boosts our resiliency,” said Jensen Huang, NVIDIA’s founder and CEO.

To support this massive undertaking, NVIDIA (NVDA) is working closely with TSMC (TSM), Foxconn, Wistron, Amkor Technology (AMKR), and Siliconware Precision Industries (SPIL). These partnerships will enable the use of over one million square feet of dedicated manufacturing space.

The new infrastructure will be used for chip design, manufacturing, testing, and assembly — including work on NVIDIA’s (NVDA) latest innovation, the Blackwell AI chip architecture.

TSMC (TSM) has already begun producing the Blackwell chips at its fabrication facilities in Phoenix, Arizona. Meanwhile, large-scale production centers for AI supercomputers are being built in Texas, where Foxconn is spearheading operations in Houston and Wistron is taking the lead in Dallas. These sites are expected to begin high-volume output in roughly 12 to 15 months.

Further downstream, the final packaging and quality testing of NVIDIA’s (NVDA) advanced chips will be handled in Arizona by Amkor (AMKR) and SPIL, ensuring precise and reliable performance for next-generation AI workloads.

NVIDIA (NVDA) believes this domestic expansion will deliver long-term economic advantages. The establishment of a U.S.-based AI supercomputing supply chain is projected to create hundreds of thousands of new jobs while boosting the stability and autonomy of America’s tech infrastructure.

In parallel, NVIDIA (NVDA) intends to leverage its own platforms — such as the NVIDIA Omniverse and the Isaac GR00T robotics system — to streamline plant layout and automate production workflows. These platforms will help engineers build “digital twins” of manufacturing facilities and incorporate robotics to optimize factory operations.

The AI computing systems produced will serve as the core of what the company calls “AI factories” — data centers purpose-built to run advanced artificial intelligence applications at scale. Dozens of these gigawatt-level facilities are expected to be constructed in the coming years, forming the backbone of the emerging AI economy.

Additionally, in March 2025, reports surfaced that NVIDIA (NVDA) is in the process of acquiring Lepton AI, a company focused on renting server infrastructure powered by NVIDIA AI chips, further strengthening its dominance in the AI hardware space.

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