AI infrastructure is growing rapidly! OpenAI and Foxconn are joining forces to build an AI data center supply chain in the United States.
Foxconn and OpenAI will jointly design and manufacture essential components of artificial intelligence data center core facilities in the United States.
Global AI leader OpenAI has reached a major partnership with Foxconn, the world's largest electronics manufacturing company. Foxconn and OpenAI will collaborate to design and manufacture crucial components for artificial intelligence data center core facilities on American soil. The partnership focuses on strengthening local manufacturing capabilities to meet the massive infrastructure demands for AI computing power.
The collaboration between OpenAI and Foxconn is not aimed at expanding AI GPU or AI ASIC hardware production capacity, but rather at providing essential infrastructure for AI data centers, such as AI server racks, power supply systems, network systems, basic wiring, and liquid cooling. The core goal is to accelerate the deployment of OpenAI's large-scale AI computing infrastructure and promote the localization of data center infrastructure supply chains (i.e., American manufacturing).
Although no financial terms were disclosed, OpenAI stated in a announcement on Thursday that the AI startup will have the opportunity to assess the systems produced by Foxconn and have the option to purchase them. The primary objective is to expedite the deployment of AI data center infrastructure while securing long-term production capacity in the U.S.
Under the agreement, OpenAI and Foxconn will jointly develop and manufacture multiple generations of AI servers and core AI data center components, including power, network, and state-of-the-art liquid cooling systems at Foxconn's large electronic factories in the U.S. The companies have factories in Wisconsin, Ohio, Texas, Virginia, and Indiana, according to the company's official website.
OpenAI CEO Sam Altman stated, "This important partnership represents a significant step towards ensuring that the most critical infrastructure technology for the AI era is manufactured in the U.S.," emphasizing the opportunity for the U.S. to achieve reindustrialization and reshoring of manufacturing.
OpenAI has been a supporter of President Trump's goal to bring manufacturing back to the U.S., and this partnership with Foxconn aligns with Trump's initiatives to strengthen the domestic AI computing supply chain and reshore manufacturing. According to a U.S. Department of Energy official, Trump plans to launch an executive order called the Genesis Mission to boost the development of artificial intelligence in the U.S.
In recent deals, OpenAI has committed to approximately $1.4 trillion in AI computing infrastructure spending, raising concerns about the profitability of the AI startup. Altman recently stated that OpenAI aims to achieve an annual revenue of $20 billion by the end of this year and reach several hundred billion by 2030.
This collaboration with Foxconn will focus on localizing the data center infrastructure supply chain for OpenAI, further supporting the AI startup's efforts to build AI data centers in the U.S.
Foxconn is known for assembling iPhones for Apple, but its business has expanded to AI infrastructure and automotive manufacturing. Foxconn is one of the largest AI server manufacturers globally and is a key supplier for NVIDIA's AI GPU clusters. Foxconn Chairman Young Liu stated, "Foxconn has unique advantages in providing reliable, scalable, and customizable infrastructure to support OpenAI's mission."
This partnership with Foxconn will focus on AI data center server racks, power systems, high-performance network architecture, wiring, and liquid cooling systems. Foxconn's involvement will help speed up the deployment of OpenAI's data center infrastructure and contribute to the reshoring of manufacturing in the U.S.
By combining design models and infrastructure roadmaps with Foxconn's engineering and manufacturing capabilities, OpenAI and Foxconn plan to design multiple generations of AI data center server racks and core systems to quickly deploy new AI computing systems and secure the capacity needed for long-term growth.
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