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How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip

206 points · 139 comments · maxall4

  1. pama · · focus · HN ↗
    Having worked with people doing bringup of specialized chips, I am awed at how the world has changed.

    > When the first chips came back from the foundry in May, the team pointed its internal AI models at designing software to run benchmarks such as SemiAnalysis’s InferenceX. On DeepSeek’s multi-head latent attention kernel benchmark, performance climbed from 0.31 percent of the theoretical ceiling (set by the chip’s compute and memory bandwidth) to 88.94 percent in roughly 40 hours. Ho says this result is repeatable, so the time between when foundries deliver the first chips and when production ramps up can be reduced. “All our schedule assumptions are going to be based on the fact we have this capability now,” he says.

    1. _zoltan_ · · focus · HN ↗
      I optimize a lot of CUDA and it got really, really good at it.
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