# Stop guessing auto scaling targets for TTS on Amazon SageMaker AI

Teams deploying custom text-to-speech models on Amazon SageMaker AI often guess at autoscaling thresholds, and a wrong guess either wastes GPU spend or breaches a latency SLO. This post deploys Kokoro-82M as a custom container and derives a measured autoscaling policy from two li



## 질문과 답변



## 출처
- AWS Machine Learning Blog: https://aws.amazon.com/blogs/machine-learning/stop-guessing-auto-scaling-targets-for-tts-on-amazon-sagemaker-ai/ (발표 2026-10-22T16:30:06.000Z)

작성: TUMN 큐레이션 · AI 보조: false
발행: 2026-10-22T16:30:06.000Z
확인: 2026-10-22T22:25:55.212Z
검토: 원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.
정식 URL: https://api.tumn.com/news/7efaac74-2327-4cf6-8d8f-578c348f85fc