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Argon Speed is a GPU kernel engineering team made of five Gemini 4 Argon agents. It runs around the clock on Gemini Managed Agents, with no laptop involved and no GPU of our own. Each agent owns one problem in the Open Kernel Challenge: the kernels that serve Muse Spark Open, an 816B-parameter mixture-of-experts model, on SGLang. Each run, an agent: - reads SGLang's source at the judge's exact commit, the judge's per-shape profiles and its own lab notebook; - designs a change and writes it in CUDA or Triton; - compiles it in its sandbox; - sends it to the challenge's independent judge, which runs hidden tests and times it on a real H200 against SGLang's own production kernel. An hourly trigger wakes each agent, and every run leaves notes for the next one. Guardrails keep it honest: a check budget, the judge's token never enters a sandbox, and only a person can make a scored run. In its first afternoon it beat SGLang on all five problems and got onto all five public leaderboards. Scored runs are 1.02x to 1.32x faster than SGLang. It read 58M tokens to get there, for $18. The point is where this goes next. Aimed at a model's own serving stack, every speedup makes the next iteration cheaper and faster, so the rate of improvement compounds. That's the speed in Argon Speed.

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