Google reportedly capped Meta's use of Gemini AI for coding and chatbots
Key takeaways
- Even tech giants with their own LLMs are having trouble finding enough computing power.
- Robert Way/Getty Images Google was forced to cap Meta's use of its Gemini AI model after Mark Zuckerberg's company exceeded its computing capacity, sources familiar with the matter told The Financial Times.
- Meta does not operate its own cloud business and is trying to rapidly expand its own data center build out, having pledged $600 billion in cloud computing investments over the next two years.
Even tech giants with their own LLMs are having trouble finding enough computing power.
Robert Way/Getty Images Google was forced to cap Meta's use of its Gemini AI model after Mark Zuckerberg's company exceeded its computing capacity, sources familiar with the matter told The Financial Times. The incident reveals that even tech giants with their own LLMs are having trouble finding enough computing power for themselves, let alone their customers.
Meta does not operate its own cloud business and is trying to rapidly expand its own data center build out, having pledged $600 billion in cloud computing investments over the next two years. Google reportedly warned the social media company about its capacity limits in March, in turn forcing Meta to request that employees use tokens more efficiently, the sources said.