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Databricks tops NVIDIA kernel leaderboard with GPT-6 Astra and Opus 5 self-hillclimbing loop

Databricks says it put GPT-6 Astra and Opus 5 in a self-hillclimbing loop to write GPU kernels, taking first place in all four tracks for about $70K total.

Yuchen Jin
@Yuchenj_UWArchived 2026.09.30Originally posted 2026.09.29
Databricks tops NVIDIA kernel leaderboard with GPT-6 Astra and Opus 5 self-hillclimbing loop
Yuchen Jin @Yuchenj_UWOriginally posted 2026.09.29
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We @databricks now rank #1 on NVIDIA’s SOL-ExecBench kernel leaderboard, across all 4 tracks. We put GPT-6 Astra and Opus 5 in a self-hillclimbing loop, and the agents beat the top GPU kernel engineers. Total toten spend: ~$70K, far less than what kernel engineers get paid. One learning: GPT-6 Astra and Opus 5 are still much better than OSS models at writing GPU kernels.

x.com/yuchenj_uw/status/2104771205421289551Archived 2026.09.30 10:24