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. 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.
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As Meta delays new AI models for developers, Google’s message to Meta comes in picture
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