Machine LearningConsumer Tech17 min reading time

Stop guessing auto scaling targets for TTS on Amazon SageMaker AI

AWS Blog
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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.

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