Without cross-layer telemetry, teams cannot tell whether latency comes from model compute, queueing or memory pressure.
MODEL SERVINGENTERPRISE AI ARCHITECTURE
Inference Observability Architecture
Inference observability connects user latency to scheduler, queue, GPU, memory and model metrics.
A trace carries request ID from gateway to inference server while dashboards show TTFT, TPOT, queue and KV cache.
Can an on-call correlate one slow request with serving pressure?
REMEMBERObserve the scheduler and hardware behind the API.
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