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Google Limiting Meta's Gemini Use

Google Limiting Meta's Gemini Use

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Google has restricted Meta's access to its Gemini model API due to Meta's demand exceeding Google's available computing capacity.
What: Meta, a significant user of Google’s AI models, was told in March that Google could not meet its request for additional compute power. The shortfall has forced Meta to push internal teams to optimize token usage as Google struggles to manage capacity constraints across its cloud services.
Why it matters: The supply crunch for high-end AI compute is now impacting even the largest tech companies, causing friction between competitors who rely on each other’s infrastructure.
Original article

Key Points

  • Google has imposed limits on Meta's use of its Gemini AI models, the Financial Times reports.
  • Meta had reportedly sought more computing capacity than Google could provide.
  • Several other Google clients have also been affected, though to a lesser extent, according to the report.

Google has put limits on Meta's use of its Gemini AI models after the social media company sought more computing capacity than the rival tech group could provide, the Financial Times reported on Sunday.

Google, owned by Alphabet, told Meta around March it could not meet the full Gemini capacity the company had sought to purchase, the newspaper said, adding that the shortfall disrupted and delayed some of Meta's internal AI projects.

Several other Google clients have also been affected, though to a lesser extent, according to the report. Meta has been particularly impacted due to its exceptionally high demand for Google's models, the FT said.

Reuters could not immediately verify the report, which cited people familiar with the matter. Google and Meta did not immediately respond to requests for comment outside business hours.

Due to the restrictions, Meta has encouraged staff to be more efficient with AI tokens, the units that measure AI usage, the FT report said.

Even as companies continue to spend billions on chips and data centers, they are still struggling to secure enough computing power to support the growing demand for AI services.

Revenue at Google Cloud grew to $20 billion in the first quarter ended March, but CEO Sundar Pichai said computing power constraints prevented even higher growth and contributed to the cloud unit's backlog nearly doubling quarter on quarter.

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