Wistron Confirms 2025 Launch of U.S Nvidia AI Server Plants

$500M investment backs high-stakes expansion into U.S. AI infrastructure


🏗️ New U.S Facilities to Go Live in 12–15 Months

Wistron confirmed Friday that its U.S. manufacturing facilities—key to Nvidia’s AI server ambitions—will be operational by next year. The announcement reinforces Nvidia’s earlier plan to build supercomputing infrastructure worth up to $500 billion in the U.S. over four years.

  • Dallas site (Wistron) and Houston site (Foxconn) are at the center of this expansion.
  • Facilities will manufacture high-performance computing and AI-focused products.

đź’¬ Wistron CEO: “All progress will follow Nvidia’s lead”

In his first public remarks since Nvidia’s April announcement, CEO Jeff Lin emphasized:

  • Wistron’s growth is tightly aligned with Nvidia’s U.S. strategy.
  • Talks are underway with additional unnamed clients to utilize the facilities.
  • The company aims to scale alongside demand, particularly outside China.

đź’° $500M Investment Backed by Board Approval

Wistron’s board has greenlit a $500 million capital injection into its new U.S. subsidiary. This move underlines:

  • A long-term strategic pivot to the North American AI manufacturing ecosystem.
  • The company’s intent to capture new demand as geopolitical risks and chip export restrictions shift production westward.

🌍 Middle East and Global Outlook Still Positive

CEO Lin added:

“Most developments in the Middle East are essentially our indirect customers.”

He also noted:

  • Robust demand persists outside China.
  • Export restrictions are not expected to slow Wistron’s global expansion trajectory.

📌 Conclusion: A Strategic U.S. Bet on the AI Boom

Wistron’s push into U.S. manufacturing marks a pivotal moment for Nvidia’s supply chain and the broader AI industry. With high-stakes investment and multiple potential customers, the Dallas-based site could become a core hub in America’s AI infrastructure drive.

Keep an eye on Nvidia, Wistron, and Foxconn—their production timelines may shape the next leg of the AI trade.

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