字节和清华出的新系统，用强化学习让模型自己写CUDA，KernelBench上Seed1.6有74%通过率，能超编译器。
ByteDance Seed与清华AIR发布CUDA Agent，一个用于CUDA内核生成的智能体强化学习系统。该系统训练大语言模型写出比编译器更快的GPU内核。现有前沿模型已能生成正确CUDA，但性能不佳。在KernelBench基准中，基础模型Seed1.6通过率为74.0%。
ByteDance Seed and Tsinghua AIR Introduces CUDA Agent: A Large-Scale Agentic RL System for CUDA Kernel Generation
ByteDance Seed and Tsinghua AIR have released CUDA Agent, an agentic reinforcement learning system that trains a large language model to write GPU kernels that beat a compiler. The gap it targets is narrow but stubborn: frontier models already produce correct CUDA, they just produce slow CUDA. On KernelBench, the base model Seed1.6 passes 74.0% […] The post ByteDance Seed and Tsinghua AIR Introduces CUDA Agent: A Large-Scale Agentic RL System for CUDA Kernel Generation appeared first on MarkTechPost .