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Micron CEO Says Memory Supply Will Be Much Tighter in 2027 and 2028 Than in 2026

394 points · 443 comments · speckx

  1. PowerElectronix · · focus · HN ↗
    It'd be a shame if their two main sources of income (openai and anthropic) were to go bust...
    1. TuxSH · · focus · HN ↗
      I doubt it will change much, inference (not training) is very profitable and demand for inference is quite high. See: Mistral serving GLM on their own servers.
      1. PowerElectronix · · focus · HN ↗
        Pure inference would have to compete with other service providers and even local hardware that becomes capable of running models for a price if hardware demand by openAI and Anthropic dwindles.

        That is a very commodify market and as such I expect power cost per query ends up setting the pricing.

        1. TuxSH · · focus · HN ↗
          > if hardware demand by openAI and Anthropic dwindles

          Would it ever? Demand for inference (and I suppose the same applies for training) _increases_ when models get cheaper.

          I suppose real risk is that one player aggressively cuts margins (say, AWS) and others follow suite. However the release of increasingly more capable, exclusive closed-weight models prevents this to an extent.

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