ATTUNE: Agentic Throughput Tuning for LLM Training

ATTUNE is a coding agent that automatically tunes large‑language‑model training recipes within a GPU‑hour budget, adjusting one lever at a time guided by search rules, scripts, and past tuning lessons. It includes a correctness gate that blocks any configuration known to alter the training objective. In Amazon’s production, ATTUNE raises throughput by an average of 1.7× on H100, H200, and B200 clusters and outperforms NVIDIA’s AutoModel benchmark recipes and other automated tuners, achieving up to 2.6× improvement on MiniMax‑M2 and more than four times the best alternative on GLM‑4.5.

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• llms
• agents
• efficiency
• benchmarks