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    Wednesday, December 3
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    Home»Markets & Investments»Nvidia Setting Aside Up to $600,000,000,000 in Compute for OpenAI Growth As CFO Confirms Half a Trillion Already Allocated

    Nvidia Setting Aside Up to $600,000,000,000 in Compute for OpenAI Growth As CFO Confirms Half a Trillion Already Allocated

    By Henry KanapiDecember 3, 20252 Mins Read
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    Nvidia is giving its clearest signal yet of how much it plans to support OpenAI in the years ahead, outlining a combined allocation worth hundreds of billions of dollars once agreements are finalized.

    In an appearance at the UBS Global Technology and AI Conference, Nvidia CFO Colette Kress says the chipmaker has already committed a vast amount of Blackwell and Vera Rubin systems to OpenAI and the cloud providers supporting its expansion.

    She says the existing plans already reflect half a trillion dollars in hardware tied directly to OpenAI’s needs.

    “Today, and our focus, for example, on our half a trillion worth of Blackwell and Vera Rubin is really based on OpenAI and the continuation of the CSPs (cloud service providers) who are helping them with the compute that they would need.”

    Kress says the $500 billion allocation does not include a separate package that Nvidia is still negotiating with OpenAI.

    “Right now, that half a trillion does not cover any of the work that we are doing right now on the next part of the agreement with OpenAI. Yes, we still have not completed a definitive agreement, but we are working with them.”

    In September, Nvidia announced that it plans to invest up to $100 billion in OpenAI, involving roughly 10 gigawatts of new capacity that could power the needs of over eight million US households. At the time, Nvidia CEO Jensen Huang called ChatGPT “the single most revolutionary AI project in history.”

    Bridgewater CIO Greg Jensen recently said Nvidia is creating its own empire just like Standard Oil in the Gilded Age, betting on OpenAI to protect its interests amid the rise of Google and other chipmakers and hyperscalers.

     

     

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