NVIDIA and Partners Build in America, for America

NVIDIA and Partners Build in America, for America | NVIDIA Blog

Skip to content

NVIDIA and Partners Build in America, for America

July 1, 2026 by NVIDIA

Your browser does not support the video tag.

Share

X

Facebook

LinkedIn

Email 0

America is a nation of builders.

For 250 years, America has built railroads that connected a continent, power grids that lit up cities, factories that powered prosperity, semiconductors that made the digital age possible and the internet that opened knowledge to the world.

Now, America is building again.

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.

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 43 states and growing, NVIDIA’s network of American partners and suppliers spans semiconductors, boards, systems, racks and more — all to meet this rare moment in the nation’s history and set up the country’s future by bringing the supply chain home.

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.

The new TSMC factory in Phoenix, Arizona, is manufacturing NVIDIA Blackwell wafers in volume.

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 Enables Building for America and Americans 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.

AI’s five-layer cake shows how energy, chips, infrastructure, models and applications work together to turn American-built computing capacity into useful intelligence. Images courtesy of Multiply Labs (Applications), Digital Reality (Infrastructure), TSMC (Chips).

In this way, the five-layer cake of AI is enabling America to build new industries and reimagine existing ones. It’s helping to increase productivity, add jobs and bolster the U.S. economy. And by producing intelligence at scale, AI is supporting open science that accelerates discovery across universities, labs, startups and industry.

Doing all of this requires building three types of factories:

Semiconductor factories or “fabs,” for producing the world’s most advanced AI logic and memory chips, including chip packaging.

Electronics manufacturing factories , for building the boards, servers, racks and systems AI runs on.

AI factories that turn raw data into useful intelligence — enabling the AI models and applications that accelerate healthcare and science.

Public First estimates that in 2026 alone, NVIDIA-driven AI demand will contribute $485 billion to the U.S. GDP and that AI infrastructure powered by NVIDIA chips is supporting over 100,000 jobs. This includes direct jobs like electricians, plumbers, HVAC technicians, pipefitters and construction workers, as well as indirect jobs throughout the wider supply chain.

The three types of factories required for AI: semiconductor fabrication plants, electronics manufacturing and AI factories.

In Sherman, Texas, Coherent , a key networking supplier across NVIDIA’s AI stack, broke ground this month on its expanded facility, scaling what it calls the world’s first volume production 6-inch indium phosphide fab. This is part of a project expected to create 1,000 jobs.

Coherent’s new Texas-based factory will produce the lasers, optical components and compound semiconductors that wire AI systems together — and runs what the company calls the world’s first 6-inch indium phosphide fab.

Those new jobs in the city of some 54,000 people are a fraction of the positions already created in the effort to build AI in the U.S.

“The onshoring of manufacturing is intensifying,” Huang said at the groundbreaking event, highlighting the hundreds of thousands of jobs being created in America. “And most of those jobs are in manufacturing plants. They are electricians and construction workers and designers and technicians. And I think that that’s going to intensify over the next decade, because we are seeing the renaissance of manufacturing here in the United States.”

In North Carolina and Texas, Corning is expanding its U.S.-based manufacturing of advanced optical connectivity solutions needed to power next-generation AI, building new facilities and opening more than 3,000 jobs. Also in North Carolina, Lumentum is advancing U.S.-based manufacturing and deepening its R&D collaboration with NVIDIA in state-of-the-art optics technologies.

In Houston, Texas, Foxconn is building a state-of-the-art factory for manufacturing NVIDIA AI systems, including NVIDIA GB300 tray modules. Foxconn engineers have used digital twins, built on NVIDIA libraries and open models, to design and validate the physical structure and AI and robotics systems that will assist factory workers.

Foxconn agents power interactive AI coaches to help train new employees.

Wistron and NVIDIA will assemble and test NVIDIA AI systems at a new advanced manufacturing...