The Definitive Guide toAI Data Centers
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serverless GPU startup must separate infrastructure resume, model-ready time and end-to-end time to first token; each is model-, platform-, image- and cache-state specific

Measure resume, model-ready and TTFT separatelyrecommendation

Value kindrecommendation — Recommendations are design guidance, not measured facts; validate them against the project boundary conditions.
ScopeWarm-state resume is not end-to-end first-token latency, and no portable H100 range is retained.
CaveatPlatform-published benchmark; validate on the selected model, image, region, cache state and serving stack.
As of2026-08-24
SourceRunPod, controlled vLLM cold-start benchmark · Cold-start phases and controlled model-size benchmark
Reviewchecking…review by 2026-12-22 · standard cadence
Recorded changeslast 2026-08-24 · 3 revisions tracked
Claim idserverless-gpu-time-to-first-token-h100-warm

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