Nvidia Moves AI Supercomputer Creation to the US: Explained
Since the introduction of US President Donald Trumpâs new tariffs on imports to the US, technology giants are taking action.
The technology sector has been hit particularly hard by these tariffs, as its dependence on intricate global manufacturing networks stretches across Asia â and while semiconductors are currently exempt (as of April 2025), technology companies are waking up to the possibility.
Now, for the first time, Nvidia has announced that it will produce AI supercomputers entirely in the US.
How Nvidiaâs partnerships will accelerate Nvidia Blackwell chips for supercomputer development
Nvidia has commissioned more than a million square feet of manufacturing space through partnerships with contract manufacturers.
This space will be dedicated to the building and testing of Nvidia Blackwell chips in Arizona and complete AI supercomputing systems in Texas.
The engines of the world's AI infrastructure are being built in the US for the first time.
Production of Nvidia Blackwell chips â the company's next-generation AI accelerator architecture â has already started at Taiwan Semiconductor Manufacturing Company (TSMC) chip fabrication plants in Phoenix, Arizona.
In parallel developments, the company is establishing supercomputer manufacturing facilities in Texas through partnerships with two major electronics manufacturing services providers: Foxconn and Wistron.
With Foxconn, Nvidia is building a production facility in Houston – and with Wistron, a Taiwan-based electronics manufacturing company, it is establishing a facility in Dallas.
Mass production at both Texas plants is projected to reach full capacity within the next 12-15 months.
Furthermore, the manufacturing of AI chips and supercomputers involves a complex supply chain that requires advanced fabrication, packaging, assembly and testing technologies.
To address these requirements, Nvidia has formed additional partnerships with Amkor and SPIL, two semiconductor packaging and testing specialists, for operations in Arizona.
Nvidia projects ambitious production targets for its US manufacturing initiative.
Within four years, it plans to produce up to half a trillion dollars worth of AI infrastructure within the US through its partnerships with TSMC, Foxconn, Wistron, Amkor and SPIL.
These manufacturing partnerships are a deepening of relationships between Nvidia and its suppliers, while simultaneously expanding their global operational footprints and enhancing supply chain resilience.
Nvidia’s AI supercomputers: The foundation for a new kind of data centre
Nvidia's AI supercomputers serve as the computational foundation for a new category of data centres designed specifically for AI workloads.
These facilities, which the company refers to as âAI factoriesâ, constitute the infrastructure powering emerging AI applications and services.
Industry projections suggest that tens of âgigawatt AI factoriesâ â data centres consuming electricity at the scale of gigawatts â will be constructed in the coming years.
Therefore, the company forecasts that manufacturing Nvidia AI chips and supercomputers for American AI installations will generate hundreds of thousands of jobs and contribute trillions of dollars to economic development over the coming decades.
“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,” says Jensen Huang, Founder and Chief Executive Officer of Nvidia.
Nvidia further intends to implement its own technological innovations in the design and operation of these manufacturing facilities.
This includes the use of Nvidia Omniverse – a platform for connecting 3D workflows and creating virtual environments – to develop digital twins of the factories.
Additionally, it will deploy Nvidia Isaac GR00T, its robotics platform, to develop automated manufacturing systems.
“The engines of the world's AI infrastructure are being built in the US for the first time,” Jensen says.
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