What to Verify in AI Infrastructure Operations Before Signing

Before signing with an AI infrastructure provider, verify five operations dimensions — monitoring coverage and correlation, incident response speed and effectiveness, optimization practices and results, capacity management evidence, and SLA enforcement history — because operations quality is what determines whether the infrastructure delivers value. For the evaluation framework, see evaluate managed GPU operations. For the SLA, see GPU operations SLA evaluation.

The Five Verification Dimensions

Monitoring: does the provider correlate GPU, storage, and network signals? Request a sample dashboard and an incident correlation example. Incident response: what are the MTTA/MTTR metrics by severity, and what is the escalation path? Request historical data. Optimization: what utilization do customers on similar workloads achieve, and how does the provider continuously tune? Capacity management: how does the provider proactively add capacity before saturation? Request examples. SLA enforcement: what credits or remedies have been paid for SLA breaches historically? A provider who cannot cite examples may not enforce the SLA. For the verification methodology, see auditing AI infrastructure providers.

FAQ

What should I verify before signing with an AI provider?

Monitoring coverage, incident response metrics, optimization results, capacity management evidence, and SLA enforcement history. For each, demand data — not promises. See the five dimensions above.

Summary

Verify monitoring, incident response, optimization, capacity, and SLA enforcement with evidence before signing. For the full verification framework, see evaluating managed GPU operations.