Amazon SageMaker is AWS's full MLOps platform for building, training, and deploying machine-learning models, aimed at data-science and ML teams on AWS. It provides managed training, model hosting and endpoints, fine-tuning including via JumpStart, and Studio notebooks. Pricing is usage-based; a time-limited two-month introductory tier exists but there is no perpetual free tier, and the platform is neither open-source nor self-hostable. Founded in 2017, SageMaker carries SOC 2, ISO 27001, FedRAMP, HIPAA, and PCI-DSS attestations. It targets enterprise teams running end-to-end ML workflows within the AWS ecosystem.
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Overview
- Founded
- 2017
- Pricing tier
- High
- Startup-friendly
- No
- Enterprise-ready
- Yes
ML platform
- Free tier
- No
- Open-source
- No
- Self-hostable
- No
- Managed training
- Yes
- Model hosting
- Yes
- Fine tuning
- Yes
- Notebooks
- Yes