Foxconn advances $1.4 billion NVIDIA GPU cluster, deepens hardware partnership with OpenAI

Foxconn said its $1.4 billion supercomputing center built with NVIDIA will be ready in the first half of 2026 and become Taiwan's largest advanced GPU cluster. The company also confirmed a partnership with OpenAI to co-develop data center hardware, with OpenAI receiving early access to test components.

Foxconn announced at its annual tech day in Taipei that a $1.4 billion supercomputing center developed in partnership with NVIDIA is due in the first half of 2026. The company said the facility will become Taiwan’s largest advanced GPU cluster and will be powered by NVIDIA Blackwell GB300 hardware. Foxconn will operate the site under its new Artificial Intelligence and cloud unit, Visonbay Artificial Intelligence, and highlighted the project as part of a broader push into large-scale compute services.

NVIDIA vice president Alexis Bjorlin told attendees that rapid gains in GPU performance are shifting the economics of compute, and that many companies may find it more economical to rent capacity rather than build their own facilities. Foxconn said it plans to invest $2-3 billion per year in Artificial Intelligence, and chairman Young Liu said the company can already build around 1,000 Artificial Intelligence racks per week, a volume he expects to increase next year. Those production capabilities are presented as a core advantage for scaling new systems quickly.

Separately, OpenAI confirmed a new partnership with Foxconn to co-develop hardware for data centers. Under the agreement, Foxconn will design and manufacture components such as cabling, power systems and other infrastructure gear. The deal does not include purchase commitments, but gives OpenAI early access to test the hardware, mirroring the supplier feedback model Foxconn uses with Google, AWS and Microsoft. OpenAI CEO Sam Altman said demand for advanced Artificial Intelligence infrastructure continues to exceed supply and that upcoming models will require new types of server racks, cooling systems and power hardware, driving further hardware innovation and collaboration.

64

Impact Score

OpenAI weighs software release to loosen Nvidia CUDA dependence

OpenAI is considering whether to release software that could make advanced Artificial Intelligence workloads easier to run across chips from multiple providers. The move would target Nvidia’s CUDA ecosystem, one of the company’s strongest infrastructure advantages.

Computex 2026 spotlights Nvidia RTX Spark and new PC chips

Computex 2026 in Taipei is focused on fresh PC silicon, with Nvidia entering consumer laptop processors and Intel, Qualcomm, and AMD updating their pitches for handhelds, laptops, and desktops. Hardware makers are pairing those chips with new Surface, XPS, Zenbook, Claw, and component designs.

Intel pushes local Artificial Intelligence chips at Computex 2026

Intel used Computex 2026 to promote local Artificial Intelligence processing across PCs, robotics and edge devices, positioning its chips as an alternative to cloud-dependent systems. The company tied the push to Core Ultra 3, its 18A manufacturing process and robotics tools meant to challenge Nvidia.

Regulators tighten scrutiny of Artificial Intelligence data centres

Artificial Intelligence demand is pushing data centres into closer regulatory focus as governments treat them as critical infrastructure. The European Union is adding reporting, audit and waste heat obligations while the United Kingdom focuses on cybersecurity and resilience.

Qwen3.6 adds coding and deployment tools for developers

Qwen3.6 is the latest addition to the Qwen model family, with a focus on stability and real-world utility. The release emphasizes agentic coding, thinking preservation, and support across hosted and local workflows.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.