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Google limits Meta’s use of its Gemini AI models, FT reports

Google has capped Meta's use of Gemini AI models because it cannot provide the computing capacity Meta requested. This restriction stems from a broader infrastructure crunch where AI demand exceeds available supply. The move has reportedly delayed some of Meta's AI projects.

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Google has implemented usage caps on Gemini AI for Meta due to computing shortages.

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  1. Google Limits Meta's Gemini AI Access Amid Compute Shortages

    Google has capped Meta's use of Gemini AI models because it cannot provide the computing capacity Meta requested. This restriction stems from a broader infrastructure crunch where AI demand exceeds available supply. The move has reportedly delayed some of Meta's AI projects.

    What's confirmed:

    • Google limited Meta's use of Gemini AI models after Meta requested more computing capacity than Google could provide.
    • The restrictions are due to compute shortages and infrastructure constraints.
    • Rising AI demand is outstripping available supply.

    Still unconfirmed:

    • Meta has shifted workloads to its in-house Muse Spark model.
    • Meta has encouraged staff to be more efficient with AI tokens.
    • The restrictions have delayed AI projects.
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