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Amazon SageMaker JumpStart

Amazon Web Services
closed / Overall score: n/a

Model catalog in Amazon SageMaker AI that onboards publicly available and proprietary foundation models from third-party providers and partners, alongside built-in algorithms. Models can be fine-tuned, evaluated and deployed to SageMaker endpoints from Studio or the Python SDK. Administrators create private hubs that curate a subset of the public catalog and add their own versioned models, notebooks and datasets.

Bedrock Marketplace deploys onto SageMaker endpoints and is read as the same registry behind a second storefront, so it has no entry of its own.

Openness

1 high confidence
1.0
license
proprietary(hosted service
source
closed(managed AWS service)

JumpStart is part of AWS's managed SageMaker service and has no self-hostable form. The models it lists carry their own licenses, but the catalog and endpoints are Amazon's.

Adoption

not assessed

AWS describes the catalog as hundreds of models and publishes no count of customers or deployments. Neither figure would measure use, so no reading was recorded.

Capability

3 high confidence
3.0

JumpStart lists open and proprietary models from dozens of providers, versions them, and deploys them to SageMaker endpoints from the catalog. AWS decides what enters the public hub, and custom models live only in an organization's private hub, so it is a curated catalog rather than an open registry like Hugging Face Hub.

Verified 2026-09-27