Nvidia is negotiating with OpenAI to guarantee $250 billion（約40兆円） in financing for a data center, according to the Wall Street Journal. If completed, the arrangement would represent a significant vote of confidence in long-term AI infrastructure investment and underscore the scale of capital required to build cutting-edge AI systems.
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Nvidia is in talks with OpenAI to guarantee $250 billion（約40兆円） in financing for a data center project, according to reporting by the Wall Street Journal.
Why it matters
A deal of this scale would represent a major commitment by OpenAI to large-scale AI infrastructure, and signals confidence in the capital markets' willingness to fund massive AI buildout projects that require billions in computational hardware.
What to watch
The deal remains in talks and has not been finalized; its completion would depend on both parties reaching agreement and securing the necessary financing commitments.
According to the Wall Street Journal, Nvidia is in talks with OpenAI regarding a guarantee of $250 billion（約40兆円） in financing for a data center project. The talks represent negotiations between two of the most strategically important players in AI infrastructure: Nvidia, which supplies the GPUs (graphics processors) that power modern AI systems, and OpenAI, the creator of ChatGPT and a leading developer of large language models. The specific terms of how the guarantee would work, the timeline for the project, and other details of the potential arrangement have not been disclosed. The deal remains in negotiation and is not finalized.
The reported talks between Nvidia and OpenAI underscore the extraordinary capital intensity of modern AI infrastructure. Data centers capable of supporting large-scale AI training and inference require vast amounts of specialized semiconductor hardware—Nvidia's core business—and the financing to build and operate them runs into the hundreds of billions of dollars. A $250 billion（約40兆円） guarantee from OpenAI would be among the largest infrastructure commitments in the technology industry, reflecting both the cost of maintaining competitive AI capabilities and the confidence major AI labs have in their ability to generate returns from that investment.
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