From the source
From the source
Amazon· 2h agoA guide to deploying and testing models via SageMaker JumpStart
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.
From the source
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.
aws.amazon.com