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Yes, Amazon SageMaker Studio now supports third-party AI applications from AWS partners. These applications can be found, deployed, and used directly within the SageMaker environment, providing a seamless and fully managed experience without the need to provision or operate additional infrastructure.
As of the latest information available, the initial group of third-party AI apps launched for SageMaker Studio includes:
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Comet: This app is used for model experiment tracking.
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Deepchecks: An application for large language model evaluation.
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Fiddler AI: This app provides model observability capabilities.
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Lakera: An AI security application.
These AI apps are available in both Amazon SageMaker AI and Amazon SageMaker Unified Studio. They are designed to integrate smoothly with the SageMaker platform, allowing users to build AI models and solutions without leaving their SageMaker development environment. The apps are fully managed by SageMaker, ensuring data security and eliminating the need for lengthy procurement processes.
It's worth noting that this list represents the initial group of partner AI apps announced, and it's likely that AWS will continue to expand the selection of supported third-party applications in the future. Users interested in the most up-to-date list of supported apps should check the official AWS documentation or the SageMaker console for the latest offerings.
Sources
Building Generative AI and ML solutions faster with AI apps from AWS partners using Amazon SageMaker | AWS Machine Learning Blog
Machine Learning Service - Amazon SageMaker Studio Features - AWS
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asked 2 years ago
- AWS OFFICIALUpdated a year ago

The list of this response is 100%: it is the exact one given by Swami in his re:Invent keynote yesterday. I recommend to watch it at https://www.youtube.com/watch?v=qGzYTg5FIA4