Amazon SageMaker Amazon SageMaker AI
Fully managed machine learning service for data scientists and developers to build, train, and deploy ML and foundation models at scale.
Naming timeline
- Amazon SageMaker
Launched as AWS's flagship fully managed service for building, training, and deploying machine learning models.
- Amazon SageMaker AICurrent name
Renamed to Amazon SageMaker AI to distinguish the standalone ML model development service from the broader next-generation Amazon SageMaker data and analytics platform.
What is Amazon SageMaker called now?
Amazon SageMaker is now called Amazon SageMaker AI, with the latest change on 3 December 2024 (Product Rebrand (AWS re:Invent 2024)). Fully managed machine learning service for data scientists and developers to build, train, and deploy ML and foundation models at scale. Only the customer-facing name changed; the underlying technical identifiers remain backward compatible.
Also known as
- AWS SageMaker
- SageMaker
Technical identifiers
Technical identifiers unchanged. Only the customer-facing product name changed; the APIs, CLI commands, IAM roles and Terraform resources below keep their legacy identifiers for backward compatibility.
| AWS Service APIs / SDKs | sagemaker sagemaker-runtime sagemaker-featurestore-runtime sagemaker-metrics |
|---|---|
| AWS CLI Commands | aws sagemaker aws sagemaker-runtime |
| IAM Actions & Policies | sagemaker:* arn:aws:iam::aws:policy/AmazonSageMakerFullAccess |
| Terraform Resources (aws_*) | aws_sagemaker_domain aws_sagemaker_endpoint aws_sagemaker_model aws_sagemaker_notebook_instance |
All sagemaker SDK/API namespaces, CLI commands, IAM action prefixes, managed policies, and CloudFormation/Terraform resources remain unchanged.
Notes & disambiguation
- On December 3, 2024 (AWS re:Invent 2024), the original standalone Amazon SageMaker machine learning service was renamed to Amazon SageMaker AI when AWS expanded the parent 'Amazon SageMaker' brand into a unified platform for data, analytics, and AI.
- All underlying technical identifiers—including the sagemaker API namespace, aws sagemaker CLI commands, sagemaker:* IAM actions, AmazonSageMaker* managed policies, AWS::SageMaker::* CloudFormation resources, and aws_sagemaker_* Terraform resources—remain unchanged for backward compatibility.
- Existing sub-features such as SageMaker JumpStart, SageMaker HyperPod, SageMaker Pipelines, and SageMaker Studio retain their feature names under Amazon SageMaker AI.
Sources & official documentation
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