LATENCY & PERFORMANCEAI SRE

GPU Saturation

GPU saturation occurs when inference demand consumes most available compute capacity for sustained periods.

WHY IT MATTERS

Near-100% utilization can be efficient briefly, but sustained saturation removes headroom for bursts and increases queues.

PRODUCTION EXAMPLE

At 98% GPU utilization, a small traffic burst doubles TTFT because there is nowhere for extra work to go.

SRE DECISION

What utilization range balances cost efficiency with SLO headroom?

REMEMBERMaximum utilization is not the same as maximum reliability.
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