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Kokoro-82M
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- 22 OctAWS shows how to measure autoscaling for TTS on SageMaker AI
An AWS Machine Learning Blog post demonstrates deriving autoscaling targets for custom text‑to‑speech models on Amazon SageMaker AI using measured endpoint metrics instead of guesswork. The example deploys Kokoro-82M as a custom container and uses two live‑endpoint measurements, Q_max and T_total, to set scaling policy parameters.
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