Amazon SageMaker AI is AWS's managed service for building, training and deploying machine learning and foundation models. It gives access to more than 1,000 ready-made models with JumpStart, distributed training with HyperPod, experiment tracking with MLflow and version management with Model Registry. Users work in an integrated environment based on JupyterLab or VS Code. It is for data scientists and ML engineers; pricing is pay-as-you-go, and you can try it with the AWS Free Tier.
| Category | AI / Code Assistants |
| Website | aws.amazon.com |
| Tags | ML, AWS, cloud, model training |
Amazon SageMaker AI is AWS's managed service for building, training and deploying machine learning and foundation models. It gives access to more than 1,000 ready-made models with JumpStart, distributed training with HyperPod, experiment tracking with MLflow and version management with Model Registry. Users work in an integrated environment based on JupyterLab or VS Code. It is for data scientists and ML engineers; pricing is pay-as-you-go, and you can try it with the AWS Free Tier.
Amazon SageMaker is listed among the digital tools in the AI category.
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