Intern Large Models unveils Kernel-Smith for generating GPU kernels and operators

Intern Large Models introduced Kernel-Smith, a framework for generating high-performance GPU kernels and operators using an evolutionary agent and post-training recipe.

The post says it outperforms Gemini-3.0-pro and Claude-4.6-opus on Kernel-Bench, and that optimized kernels have been merged into SGLang and LMDeploy.

The accompanying figure compares best program score trajectories across evolution steps, with Kernel-Smith-235B-RL reaching the highest peak.