Sam Altman argues that prioritizing data center RAM over personal PC memory is essential for efficient AI scaling, challenging the assumption that local inference is the optimal solution.
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Asked about supply chain shortages, like the ongoing RAM shortage, OpenAI CEO Sam Altman said in an interview that it's "terrible" to have RAM in personal PCs instead of data centers. During his appearance on the Cheeky Pint podcast, where he also commented on AI's impact on math, Altman said: "A lot of people want local inference. And somehow, they assume that the problem is solved now because we are going to have open-source models, we're going to be able to run them on our computers, and so we're not going to need all the stuff in the data center. But from a global allocation perspective, actually, it's quite terrible to have everybo … Read the full story at The Verge.
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