Sagemaker: AI vs Unified Studio
I know that Sagemaker is changing, and recently I have seen a number of announcements about Sagemaker AI. This is a new entry in the Management Console. I now see notes around Sagemaker Unified Studio, which appears to be under "Sagemaker" in the Management Console.
My question: I thought I had my head wrapped around the direction (i.e. Sagemaker AI) but how can I reason about the new Sagemaker AI and now Sagemaker Unified Studio? The concept of domains appears to be different across these two offerings and now I am completely stumped.
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asked a year ago5.5K views
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You're right to notice the changes in Amazon SageMaker, as AWS has indeed been evolving its offerings in the data and AI space. Let me clarify the relationship between SageMaker AI and SageMaker Unified Studio to help you understand the direction.
Amazon SageMaker Unified Studio is actually the next generation of Amazon SageMaker, representing a more comprehensive and integrated approach to data, analytics, and AI development. It's designed to bring together various AWS tools and services into a single, collaborative environment.
SageMaker Unified Studio is built on top of the existing SageMaker capabilities and integrates functionality from multiple AWS services, including Amazon EMR, AWS Glue, Amazon Athena, Amazon Redshift, Amazon Bedrock, and Amazon SageMaker AI. This means that SageMaker AI is now a part of the broader SageMaker Unified Studio ecosystem.
The key difference is in the scope and integration:
- SageMaker AI focuses specifically on machine learning and AI capabilities.
- SageMaker Unified Studio is a more comprehensive platform that includes SageMaker AI, but also incorporates data processing, SQL analytics, and generative AI application development tools.
Regarding domains, in the context of SageMaker Unified Studio, a domain is the organizing entity that connects assets, users, and their projects. It's managed through the SageMaker AI management console, where domain administrators can configure user management, account associations, project profiles, blueprints, Amazon Bedrock models, Git connections, and Amazon Q usage.
The concept of domains in SageMaker Unified Studio is more expansive and central to the organization of resources and collaboration across teams. It's designed to provide a unified experience for data scientists, analysts, and developers working on various aspects of data and AI projects.
In essence, SageMaker Unified Studio represents AWS's vision for a more integrated, collaborative, and comprehensive data and AI development environment, with SageMaker AI being a crucial component within this larger ecosystem. This new approach aims to streamline workflows, improve collaboration, and provide a single environment for a wide range of data and AI tasks.
Sources
The next generation of Amazon SageMaker: The center for all your data, analytics, and AI | AWS Big Data Blog
A single data and AI development environment - Amazon SageMaker Unified Studio - AWS
Announcing the preview of Amazon SageMaker Unified Studio - AWS
Amazon SageMaker Unified Studio terminology and concepts - Amazon SageMaker Unified Studio
Hi! We did a livestream this week on Twitch where we covered your question in greater depth. You can check out a recording of the show.
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asked 6 months ago
For what it is worth, I have one account where the basic point-and-click defaults in one account failed, and it wasn't obvious why. In a net new account, I was able to move quickly and create a Unified Studio domain and see the relationship to the Sagemaker AI domain creation. It's not obvious why one account I own fails and another, I also own, does not. That is separate and not related to the item above.