agentic-optimization

TrainBridge is an agentic framework that transfers GPU compilation optimization guidance to Ascend NPU training programs, achieving an average 1.7× speedup across four workloads and nearly 2.0× across 27 Modded-NanoGPT speedrun records by extracting optimization intents from GPU executions and iteratively refining NPU programs through profiling.