{"id":4607,"date":"2026-07-01T13:39:45","date_gmt":"2026-07-01T13:39:45","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2026\/07\/01\/nvidia-and-partners-build-in-america-for-america\/"},"modified":"2026-07-01T13:39:45","modified_gmt":"2026-07-01T13:39:45","slug":"nvidia-and-partners-build-in-america-for-america","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2026\/07\/01\/nvidia-and-partners-build-in-america-for-america\/","title":{"rendered":"NVIDIA and Partners Build in America, for America"},"content":{"rendered":"
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America is a nation of builders.\u00a0<\/span><\/p>\n

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.<\/span><\/p>\n

Now, America is building again.<\/span><\/p>\n

NVIDIA and its partners<\/span><\/a> 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.<\/span><\/p>\n

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 \u2014 along with the people who build and operate it all.<\/span><\/p>\n<\/div>\n<\/div>\n

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\u201cAI is driving a once-in-a-generation opportunity to reinvigorate American manufacturing and supply chains,\u201d said Jensen Huang, NVIDIA founder and CEO.<\/span><\/p>\n

In 43 states and growing, NVIDIA\u2019s network of American partners and suppliers spans semiconductors, boards, systems, racks and more \u2014 all to meet this rare moment in the nation\u2019s history and set up the country\u2019s future by bringing the supply chain home.\u00a0<\/span><\/p>\n

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 <\/span>production underway at TSMC\u2019s Phoenix facility<\/span><\/a> 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.<\/span><\/p>\n<\/div>\n<\/div>\n

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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.<\/span><\/p>\n

But the purpose of this buildout extends far beyond the chips and systems being produced in the U.S. It\u2019s to accelerate what those chips and systems make possible.<\/span><\/p>\n<\/div>\n<\/div>\n

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AI Enables Building for America and Americans<\/h2>\n
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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.<\/span><\/p>\n<\/div>\n<\/div>\n

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\n\t\t\tAI\u2019s 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).\t\t<\/span>\n\t<\/p>\n<\/div>\n

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In this way, the <\/span>five-layer cake of AI<\/span><\/a> is enabling America to build new industries and reimagine existing ones. It\u2019s 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.<\/span><\/p>\n

Doing all of this requires building three types of factories:\u00a0<\/span><\/p>\n