# Argon Speed

- **Event:** [Gemini 4 Argon SF Hackathon](https://cerebralvalley.ai/e/gemini-4-argon-sf)
- **When:** Sun, Oct 25 at 9:00 AM – 10:00 PM (PDT)
- **Where:** San Francisco, CA
- **Team:** [Nelson Lai](https://cerebralvalley.ai/u/chineseman)
- **GitHub:** https://github.com/chinesepowered/hack-argonspeed
- **Demo video:** https://www.youtube.com/watch?v=u9LV2i_eBSw
- **Gallery:** https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/15

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.

## More from Gemini 4 Argon SF Hackathon

- [FixtureFit](https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/12)
- [Recall Storm](https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/13)
- [Retention Loop](https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/14)
- [Carroll](https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/16)
- [ZoneZero](https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/17)
- [PLAYTEST](https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/18)

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Markdown version of https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/15. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt