Amazon SageMaker
aws.amazon.com
AWS managed service for building, training and deploying ML models.
Quick Information
- Category:
- MLOps & Infrastructure
- Pricing:
- Paid
- Platforms:
- Cloud, Web, API
- Free Plan:
- Yes
- API Available:
- Yes
- Last Verified:
- October 2026
What Is Amazon SageMaker?
Amazon SageMaker is AWS's managed service for building, training and deploying machine learning models, now branded SageMaker AI alongside Unified Studio. Third-party guides, not the AWS pricing page, say the Studio interface and Unified Studio themselves carry no direct charge, with billing for the underlying AWS services consumed. The free tier is short: reports describe 250 hours a month of an ml.t3.medium Studio notebook instance for the first two months, not the usual 12, though one guide also lists 50 hours of ml.m5.xlarge training and 125 hours of hosting, which other sources omit. Unified Studio has an always-free set of core requests covering domain, project and user management.
Compute is billed per instance-hour. Reported examples range from about $0.05 an hour for ml.t3.medium to about $0.7364 for ml.g4dn.xlarge, with ml.m5.xlarge at $0.23 in US East, and GPU instances such as ml.p3.2xlarge can exceed $3.80 an hour. The bigger trap is idle cost: one ml.g5.xlarge real-time endpoint in us-east-1 costs $1.408 an hour, about $1,028 a month if left running, because endpoints bill whether or not they receive traffic, notebooks bill while open, and EBS storage continues after instances stop. One source lists Unified Studio catalog charges of $10 per 100,000 requests after 4,000 free per month. Always confirm on AWS's pages.
SageMaker suits teams already on AWS that want an end-to-end managed ML platform. Compare Vertex AI, Azure Machine Learning and Kubeflow. Browse the MLOps & Infrastructure tools directory for more.
What Can You Use Amazon SageMaker For?
End-to-end ML on AWS
Build, train, deploy.
Managed inference endpoints
Real-time and batch.
Amazon SageMaker Features
- Per-instance-hour billing — Many meters.
- Two-month free tier — Notebook hours.
- Unified Studio — Data and AI.
Who Is Amazon SageMaker For?
- AWS-based ML teams — Native integration.
- Enterprises — Managed MLOps.
Amazon SageMaker Pros & Limitations
What We Like
- Full ML lifecycle
- Broad instance choice
- Deep AWS integration
Limitations
- Idle endpoints and notebooks bill continuously
- Many pricing meters
- Short free tier
Amazon SageMaker Pricing
| Plan | Price | Main Features |
|---|---|---|
| Studio / Unified Studio | No direct charge (per third parties) | Underlying services billed |
| Free tier | 250 hours/month ml.t3.medium notebooks for 2 months | Other allotments reported inconsistently |
| Instances | From about $0.05/hour (ml.t3.medium) to $0.7364 (ml.g4dn.xlarge); GPUs above $3.80 | Per instance-hour |
| Real-time endpoint example | ml.g5.xlarge $1.408/hour, about $1,028/month idle | Bills when idle |
Pricing was last verified October 2026. Check the official website for the latest pricing.
AI Listing Jungle Ranking
- Global Rank:
- #1822
- Overall Score:
- 0.0/100
- Monthly Users:
- –
- Rank Change:
- ▼ 264
This ranking reflects AI Listing Jungle's own independent scoring methodology and is not an endorsement by Amazon SageMaker or its company. How Our Rankings Work
Frequently Asked Questions
Is SageMaker free?
Studio access is free; compute is billed.
How long is the free tier?
Two months per reports.
What costs the most?
Idle endpoints, about $1,028/month for one g5.xlarge.
How is it billed?
Per instance-hour.
Our Take
SageMaker is powerful but easy to overspend on.
Shut down idle resources.
Amazon SageMaker Alternatives
Amazon SageMaker Comparisons
Ready to try Amazon SageMaker?
Visit the official website to get started.
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