Google Limits Meta's Access to Gemini Model, Disrupting AI Projects
According to the Financial Times and Reuters, Google told Meta in March that it could not provide the full compute capacity for the Gemini AI model, a restriction that has delayed several internal Meta AI projects and prompted the company to urge more efficient use of AI tokens.
Financial Times and Reuters reported that around March Google informed Meta it could not meet Meta’s demand for the full compute capacity of Google’s Gemini AI model. The limitation disrupted several internal AI projects at Meta.
The report added that other Google customers also experienced reduced capacity, though the impact on them was less severe than on Meta, whose demand for the model was unusually high.
In response, Meta encouraged its employees to use AI tokens more efficiently, aiming to stretch the limited compute resources available.
The article notes that despite billions of dollars being invested by major cloud providers in chips and data‑center infrastructure, many firms still struggle to secure enough compute power to satisfy the growing demand for AI services.
Google Cloud’s first‑quarter revenue reached $20 billion, but CEO Sundar Pichai said compute constraints are hindering higher growth and have caused the cloud‑computing division’s backlog orders to almost double month‑over‑month.
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