Amazon's comprehensive ML platform offering data labelling, feature engineering, model training, and deployment capabilities. Supports multiple frameworks and provides managed notebooks for development.
| Pricing from | Pay-as-you-go (training from ~£0.29/hour for ml.m5.large) |
| Best for | AWS-centric organisations and large enterprises at scale |
| Website | aws.amazon.com/sagemaker |
Strengths and trade-offs
- Comprehensive ecosystem with SageMaker Studio for end-to-end ML workflows
- Excellent integration with AWS data and analytics services
- Pricing can become expensive at scale without careful resource management
- Vendor lock-in to AWS ecosystem
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