Request-per-second alone is too weak to size inference capacity.
CAPACITY ENGINEERINGAI SRE
Build an AI Workload Model
An AI workload model describes traffic using requests, prompt tokens, output tokens, context length, concurrency and request classes.
Two services each handle 20 RPS, but one averages 500 prompt tokens while the other averages 20k.
Can capacity forecasts explain traffic in token-weighted terms?
REMEMBERAI capacity starts with workload shape, not just request count.
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