NVIDIA Partners with Manufacturing Giants to Build AI Supercomputers in the United States
Breaking Ground on a New Era of AI Infrastructure
NVIDIA is working closely with its manufacturing partners to design and build factories that will produce NVIDIA AI supercomputers entirely in the United States for the first time. This ambitious plan involves commissioning over a million square feet of manufacturing space to build and test NVIDIA Blackwell chips in Arizona and AI supercomputers in Texas.
Achieving Manufacturing Excellence
NVIDIA Blackwell chips have already started production at TSMC’s chip plants in Phoenix, Arizona. The company is building supercomputer manufacturing plants in Texas, partnering with Foxconn in Houston and Wistron in Dallas. Mass production at both plants is expected to ramp up within the next 12-15 months.
Partnerships for Success
The AI chip and supercomputer supply chain requires the most advanced manufacturing, packaging, assembly, and test technologies. NVIDIA is partnering with Amkor and SPIL for packaging and testing operations in Arizona. These partnerships will enable the company to produce high-quality products while ensuring a robust supply chain.
Ambitious Plans for the Future
Within the next four years, NVIDIA plans to produce up to half a trillion dollars of AI infrastructure in the United States through partnerships with TSMC, Foxconn, Wistron, Amkor, and SPIL. These world-leading companies are deepening their partnership with NVIDIA, growing their businesses while expanding their global footprint and hardening supply chain resilience.
The Future of AI Manufacturing
NVIDIA AI supercomputers are the engines of a new type of data center created for the sole purpose of processing artificial intelligence – AI factories that are the infrastructure powering a new AI industry. Tens of “gigawatt AI factories” are expected to be built in the coming years. Manufacturing NVIDIA AI chips and supercomputers for American AI factories is expected to create hundreds of thousands of jobs and drive trillions of dollars in economic security over the coming decades.
CEO’s Perspective
“The engines of the world’s AI infrastructure are being built in the United States for the first time,” said Jensen Huang, founder and CEO of NVIDIA. “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.”
Advanced Technologies in Operation
NVIDIA will utilize its advanced AI, robotics, and digital twin technologies to design and operate the facilities. This includes NVIDIA Omniverse to create digital twins of factories and NVIDIA Isaac GR00T to build robots to automate manufacturing.
Conclusion
NVIDIA’s partnership with manufacturing giants marks a significant step forward in the development of AI infrastructure in the United States. With its cutting-edge technology and manufacturing capabilities, the company is poised to drive growth, create jobs, and cement its position as a leader in the AI industry.
FAQs
Q: What is NVIDIA’s plan for producing AI chips and supercomputers in the United States?
A: NVIDIA plans to produce up to half a trillion dollars of AI infrastructure in the United States through partnerships with TSMC, Foxconn, Wistron, Amkor, and SPIL.
Q: Where will the AI chips and supercomputers be manufactured?
A: NVIDIA Blackwell chips will be produced at TSMC’s chip plants in Phoenix, Arizona, while AI supercomputers will be manufactured at facilities in Texas, partnering with Foxconn in Houston and Wistron in Dallas.
Q: What are the expected outcomes of this partnership?
A: The partnership is expected to create hundreds of thousands of jobs and drive trillions of dollars in economic security over the coming decades.
Q: How will NVIDIA utilize its advanced technologies in the manufacturing process?
A: NVIDIA will utilize its AI, robotics, and digital twin technologies to design and operate the facilities, including NVIDIA Omniverse to create digital twins of factories and NVIDIA Isaac GR00T to build robots to automate manufacturing.
