InfraRSI Lifts LLM Training MFU from 17.4% to 30.0%
The non-obvious takeaway is that the hard part of agent-driven infra optimisation is verification, not code generation — the contract-and-recheck design is what makes the 2.75x speedups real. ML engineers and platform teams running multi-GPU training can apply the same contract-based evaluation to their own agent workflows. The cross-GPU memory of learned models suggests reusable optimisation knowledge across heterogeneous clusters.
