{"id":"277aebd2-b752-4fef-848c-26d1b89a75f1","url":"https://api.tumn.com/news/277aebd2-b752-4fef-848c-26d1b89a75f1","title":"Deploy and evaluate models with Amazon SageMaker JumpStart","summary":"Learn how to deploy an available model from Amazon SageMaker JumpStart, run a lightweight and repeatable performance test using the SageMaker Python SDK, and delete the endpoint when testing is complete.","sections":[],"faq":[],"sources":[{"url":"https://aws.amazon.com/blogs/machine-learning/deploy-and-evaluate-models-with-amazon-sagemaker-jumpstart/","title":"AWS Machine Learning Blog","publishedAt":"2026-10-14T13:14:36.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-14T13:14:36.000Z","modifiedAt":"2026-10-14T13:24:59.000Z","checkedAt":"2026-10-14T13:24:59.413Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/277aebd2-b752-4fef-848c-26d1b89a75f1.json","markdown":"https://api.tumn.com/news/277aebd2-b752-4fef-848c-26d1b89a75f1.md"}}