Infrastructure & deployment
Are LLM-Generated GPU Kernels Production-Ready? A Trace-Driven Benchmark and Optimization Agent
A production-trace benchmark finds that the best of six tested vanilla coding agents reaches only about 10% of hardware roofline—and that correctness can mask PyTorch fallbacks.
Why it matters: Evaluating generated kernels requires more than checking correctness: fallback execution can inflate apparent pass rates. Trace-based weights also direct attention toward kernels that consume the most serving time.