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Elon Musk has pointed to RAM supply as a constraint on running generative AI models continuously on phones and other devices, according to a Motley Fool article carried by Yahoo Finance. It is a brief observation, but it gets at a practical limit for AI that runs locally rather than in the cloud.
Why it mattersLocal inference can reduce reliance on an internet connection, but it still needs memory to hold model data and support the work being done. The article’s broader claims about what this could mean for Micron are investment analysis, not proof of future demand or profits.
Discuss: If local AI is meant to run all day on everyday devices, should makers prioritise more memory, or make models smaller and more efficient?
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