guychuk/kernel-opt-rl

Kernel-Opt RL Real-world GPU kernel optimization data mined from production LLM inference engines (vLLM, SGLang, FlashInfer). It's built for RL: given a base kernel and a concrete deployment (model shape, GPU, dtype, batch size), choose the optimization. Inference engines ship one generic kernel and specialize it per model and per GPU. Most of that specialization is not new code. It is autotuned launch parameters checked in as JSON (E=8,N=14336… See the full description on the dataset page: https://huggingface.co/datasets/guychuk/kernel-opt-rl.

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