Tutorial: Deploy and evaluate models with SageMaker JumpStart
What happened
On 14 October 2026, the AWS Machine Learning Blog published a tutorial on deploying and evaluating models with Amazon SageMaker JumpStart. The post says JumpStart offers a catalogue of pre-trained models, and users can deploy a model with the SageMaker Python SDK, test latency and per-request generation rate with sample prompts, and delete the endpoint once testing is done. It also notes that in 2026 JumpStart added Model Hub browsing and pre-configured endpoint deployment options, plus one-click deployment from Hugging Face to SageMaker AI.
Written by AI from the reports · updated 2 d ago
Timeline
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- AWS Machine Learning BlogDeploy and evaluate models with Amazon SageMaker JumpStart
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.
Heat of this event
Current heat 3·Peak in the comparable range 10（Oct 14 23:00）·Change over 24 hours in the comparable range -50%
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