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Built in Fort Worth: Wistron Opens Advanced Manufacturing Plant to Produce NVIDIA AI Systems

Wistron has opened its first U.S. manufacturing facility in Fort Worth, Texas, a 324,000-square-foot plant dedicated to producing NVIDIA AI superchips. The facility will build advanced AI systems that power some of the world's most capable AI infrastructure, marking a significant expansion of AI hardware manufacturing in the United States.

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Wistron Texas Factory Goes Live: A New Chapter in 'Made in USA' AI Infrastructure

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Wistron opens its first U.S. factory in Fort Worth, producing NVIDIA GB300 Grace Blackwell Ultra and Vera Rubin superchips, marking a substantial leap in America's AI manufacturing capabilities.

  • Wistron opens its first U.S. manufacturing factory in Fort Worth, Texas, spanning 324,000 square feet with a total investment of $700 million.
  • The factory currently operates two production lines, manufacturing NVIDIA GB300 Grace Blackwell Ultra and Vera Rubin superchips, with a planned monthly output of tens of thousands of boards.
  • The factory has created over 500 jobs, with plans to expand to 1,000 by year-end.
  • Before construction, the factory was fully simulated using digital twin technology to optimize layout and train workers.
  • NVIDIA has committed to manufacturing up to $500 billion worth of advanced AI platforms in the U.S., with the Wistron factory being a key project.
  • NVIDIA CEO Jensen Huang calls the GB300 system 'the world's most powerful AI supercomputer,' each weighing 2 tons, containing 1.5 million components, and priced at $4 million.
Open section navigationFactory Overview and Investment Scale

Factory Overview and Investment Scale

On July 21, 2026, Wistron officially inaugurated its first U.S. manufacturing factory (D1 facility) in Fort Worth, Texas. The 324,000-square-foot greenfield factory, with a total investment of $700 million, is dedicated to producing NVIDIA AI superchips. The factory currently operates two production lines: one for NVIDIA GB300 Grace Blackwell Ultra superchips and another for NVIDIA Vera Rubin superchips. The D1 facility aims to achieve a monthly capacity of tens of thousands of boards this year.

The factory has already created over 500 jobs in fields such as plumbing, construction, manufacturing, and electrical work, with plans to expand to 1,000 by year-end. NVIDIA has committed to manufacturing up to $500 billion worth of advanced AI platforms in the U.S., and the Wistron factory is one of the concrete projects fulfilling this commitment.

Digital Twin-Driven Smart Manufacturing

Before construction, Wistron built a complete digital twin of the factory using NVIDIA's open platform (including Nemotron and Cosmos frontier models, Omniverse and Metropolis libraries, and the PhysicsNeMo framework) to conduct full-process virtual simulation. This allowed engineers to verify assembly line layouts, optimize production workflows, and train workers on standard operating procedures before the physical production line went live.

Scale of AI Supercomputer Manufacturing

At the unveiling ceremony, NVIDIA CEO Jensen Huang stated that systems based on the GB300 Grace Blackwell Ultra superchip are 'the world's most powerful AI supercomputers,' each containing 1.5 million components, weighing 2 tons, and priced at $4 million. He emphasized that these systems are being mass-produced like smartphones to meet global demand for intelligent infrastructure. Huang likened AI factories to future infrastructure, saying they will become as fundamental to society as roads, agriculture, and railways.

Credibility boundary

The information in this article primarily comes from NVIDIA's official blog, representing first-hand corporate statements. Specific figures (such as factory area, investment amount, production capacity, job numbers, and system parameters) were publicly announced by NVIDIA or Wistron executives and can be taken as source statements, but have not been independently verified by third parties.

Insight takeaway

The launch of Wistron's Fort Worth factory is not only a key step in NVIDIA's supply chain localization but also demonstrates the practical application of digital twin technology in advanced manufacturing. It marks substantial progress in U.S. AI infrastructure manufacturing capabilities, but whether it can achieve monthly production of tens of thousands of boards and fulfill the $500 billion manufacturing commitment remains to be seen over time.

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NVIDIA AI Blog

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