Nvidia to Manufacture AI Chips in the U.S.
Nvidia has announced plans to manufacture AI chips in the United States, marking a significant shift in its production strategy. In a company blog post, Nvidia detailed its initiative to commission over a million square feet of manufacturing space in Arizona and Texas. The production of Nvidia Blackwell chips has already begun at TSMC's facilities in Phoenix, Arizona.
The company is also constructing supercomputer manufacturing plants in Texas, collaborating with Foxconn in Houston and Wistron in Dallas. Mass production at these sites is expected to ramp up within the next 12 to 15 months. Nvidia aims to produce up to half a trillion dollars of AI infrastructure in the U.S. over the next four years.
Nvidia's CEO, Jensen Huang, emphasized that this move will help meet the growing demand for AI chips and supercomputers, strengthen the supply chain, and enhance resiliency. The initiative is expected to create hundreds of thousands of jobs and drive significant economic activity in the coming decades.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Silicon Brief, Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Data Centers
Oct 22 HUMAIN and NVIDIA Plan 84 MW Saudi AI Infrastructure Expansion Oct 22 Google and Voltus Plan 1,070 MW Virtual Power Plant Oct 22 Modelyo raises $17 million for confidential cloud platform Oct 22 Entuity Adds GPU and Cooling Monitoring Across AMD, Intel and NVIDIA Oct 22 IREN Plans 300 MW AI Data Center in SpainMore from Enterprise
Oct 22 Podium Surpasses $150 Million in AI Agent ARR Oct 22 Uber Rolls Out ChatGPT Work to 30,000 Employees Oct 22 SpaceX Super Intelligence Starts Grok Partner Network Oct 22 Goldman Sachs Launches Small Business AI Institute Oct 22 Cube Adds Claude Connector for Financial Planning DataEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
NVIDIA Expands Chip Packaging and Testing Capacity
ByteDance, Alibaba and Tencent Place $35 Billion in Nvidia GPU Orders
Agile Robots Plans Up to 2,000 Humanoids With NVIDIA in 2027
OpenAI stops pushing for China chip export limits, Politico reports
NVIDIA and Germany Plan Industrial AI Initiative
Daily AI Brief: the AI news that matters, in your inbox.