flagos-ai/awesome-LLM-driven-kernel-generation

KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)

Winner 🏆 (Agent-only) MLSys 2026 - FlashInfer AI Kernel Generation Contest for the DeepSeek Sparse Attention (DSA) track with an average speedup of 34.93x

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

Kernels, of the mega variety :)

Agentic Kernel Optimization for All — automated GPU kernel optimization for any kernel, any hardware, any language

Kernel Design Agents (KDA) is a agent-centric workflow to write high-performance CUDA Kernels.

Curated collection of AI inference engineering resources — LLM serving, GPU kernels, quantization, distributed inference, and production deployment. Compiled from the AER Labs community.

Kernel Tuner