# Amazon — Deploy and evaluate models with Amazon SageMaker JumpStart

- Company: Amazon (amazon.com)
- Announced: 2026-10-14T13:14:36+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://aws.amazon.com/blogs/machine-learning/deploy-and-evaluate-models-with-amazon-sagemaker-jumpstart/
- Record: https://forck.live/items/22171-deploy-and-evaluate-models-with-amazon-sagemaker-jumpstart
- Subject: Bedrock / Nova

Amazon published a guide on deploying and evaluating models from SageMaker JumpStart using the SageMaker Python SDK. The post describes a three-step workflow: discover and deploy a model, run sample prompts to measure latency and generation rate, and clean up the endpoint. It also notes improvements to SageMaker JumpStart, including pre-configured endpoint deployment options and a deep link integration from Hugging Face.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/deploy-and-evaluate-models-with-amazon-sagemaker-jumpstart/:

> In this post, we show how to deploy an available model from SageMaker JumpStart, run a lightweight and repeatable performance test using the SageMaker Python SDK, and delete the endpoint when testing is complete.

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