Google Limits Meta's Gemini AI Access Amid Compute Shortage
Google has reportedly limited Meta's access to its Gemini AI models due to a shortage in computing capacity. This rationing comes as Meta delays new AI models for developers, highlighting the high demand for AI compute resources.
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Google rationed Meta's Gemini AI access amid compute shortage
Read full article →As Meta delays new AI models for developers, Google's message to Meta comes in picture
A severe computing power shortage is hindering AI development, forcing tech giants like Google and Meta into a struggle for resources. Google has reportedly limited Meta's access to its advanced Gemini AI models due to overwhelming demand for inference workloads. This capacity crunch is delaying Meta's AI releases and forcing engineers to conserve processing power, highlighting the immense pressure on data centers worldwide.
By TOI TECH DESK
Read full article →Google caps Meta’s use of Gemini AI models as demand outpaces compute capacity: Report
Read full article →Google limits Meta’s use of its Gemini AI models – report
Google told Meta around March it could not meet the full Gemini capacity the company had sought to purchase, the Financial Times says, adding the shortfall disrupted and delayed some of Meta’s internal AI projects
By Reuters
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