Amazon SageMaker JumpStart adds model discovery and one-click Hugging Face deployment
Overview
AWS's Machine Learning Blog says 2026 updates to Amazon SageMaker JumpStart let users browse the model catalog in the Model Hub and deploy Hugging Face models in one click.
The post, a first-party AWS source, walks through deploying a pretrained model from JumpStart, running timed sample prompts with the SageMaker Python SDK, and deleting the endpoint afterward.
In one sample run, the model returned a 153-word answer in 9.07 seconds, about 16.9 words per second. The post reports this single timing and does not describe a benchmark or compare it with other models or services.
Written by AI from the articles below · updated Oct 14, 9:34 AM ET
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- AWS Machine Learning BlogOfficialAmazon SageMaker JumpStart adds model discovery and one-click Hugging Face deployment
AIAmazon's AWS Machine Learning Blog shows how to deploy a pretrained model from SageMaker JumpStart, run timed sample prompts with the SageMaker Python SDK, and delete the endpoint afterward. In a sample run, a model returned a 153-word answer in 9.07 seconds, about 16.9 words per second. The post says 2026 updates let users browse the catalog in the Model Hub and deploy Hugging Face models in one click.
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