Kokoro-82M TTS Autoscaling Guide on Amazon SageMaker AI
Wrong autoscaling thresholds on GPU endpoints either burn money on idle capacity or break latency guarantees, and most teams tune them by trial and error. The Q_max and T_total measurement method gives a reproducible formula you can apply to any custom inference workload, not just TTS. MLOps and platform engineers running SageMaker endpoints should try the walkthrough to benchmark their own scaling policy.