CPU-based autoscaling often reacts to the wrong signal.
MODEL SERVINGENTERPRISE AI ARCHITECTURE
Inference Autoscaling
Inference autoscaling uses queue, token rate, active sequences and model load time to add or remove capacity.
Scale-out begins when queue wait rises and pre-warmed capacity is below target.
Which leading signal predicts SLO breach earliest?
REMEMBERScale on the actual bottleneck.
No uploads · No company data · No account required