# AutoKernel (autoresearch for kernel optimization)

**URL:** <https://forums.developer.nvidia.com/t/autokernel-autoresearch-for-kernel-optimization/363215>\
**Category:** DGX Spark / GB10 Projects\
**Created:** [March 12, 2026, 3:16am UTC](https://forums.developer.nvidia.com/t/autokernel-autoresearch-for-kernel-optimization/363215 "2026-03-12T03:16:59Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![joshua.dale.warner](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@joshua.dale.warner](https://forums.developer.nvidia.com/u/joshua.dale.warner)\
**Post date:** [March 12, 2026, 3:16am UTC](https://forums.developer.nvidia.com/t/autokernel-autoresearch-for-kernel-optimization/363215/1 "2026-03-12T03:16:59Z")

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Just saw an adaptation of Karpathy’s Autoresearch intended to chew on Triton/CUDA kernels: AutoKernel.

This may be worth experimenting with running overnight… though it may need a bit of expansion to include more modern model types.

> **[GitHub - RightNow-AI/autokernel: Autoresearch for GPU kernels. Give it any PyTorch...](https://github.com/RightNow-AI/autokernel)**
>
> Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.

MIT license