Google has struggled to keep up with demand for its cloud computing power, and Meta has grown increasingly reliant on Gemini for many of its needs. Now, Meta, along with a number of other clients, is being told that Google simply can’t provide the capacity they want. According to the Financial Times: > The decision by Google to cap a large customer’s access to its models offers a rare glimpse into the infrastructure pressures and bottlenecks building across the AI industry. Despite spending tens of billions of dollars on chips, data centres and power, even the largest tech companies are struggling to secure enough computing power to support surging demand for advanced models and AI services.

Google implements compute-based usage limits on Gemini AI as API requests doubled in five months, squeezing access for Meta and other heavy users.

June 28 : 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…

Google restricts Meta's access to Gemini AI models, impacting Meta's projects and prompting efficiency measures for AI token usage.

Google limita l’accesso di Meta ai modelli AI Gemini

Google (GOOGL), the search and cloud giant behind Gemini AI, has limited Meta Platforms’ (META) access to its Gemini models after Meta sought mo...