Stop guessing auto scaling targets for TTS on Amazon SageMaker AI

Amazon SageMaker AI users deploying text-to-speech (TTS) models often struggle with setting effective auto scaling targets, leading to either wasted GPU resources or latency spikes during traffic surges. By deploying the Kokoro-82M TTS model with custom metrics measuring maximum concurrency and scale-out time, this approach replaces guesswork with data-driven thresholds to optimize scaling and meet latency objectives.