GPU Kernels, Part 2: Teaching a 27B Model to Write Triton Kernels with SFT and a GPU Gym
In Part 1 , we explored how GPU kernels work under the hood — why operator fusion and memory tiling matter, and how benchmarks like KernelBench evaluate whether an LLM can write kernels that actually beat PyTorch. This post is the hands-on sequel. We took an open-weight model, Qwen3.8-27B , and tra…
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- 2026-11-03 18:11 · DEV Community — Machine Learning
GPU Kernels, Part 2: Teaching a 27B Model to Write Triton Kernels with SFT and a GPU Gym