AWS SageMaker Pricing

AWS SageMaker pricing was based on a pay-as-you-go model, which means you pay for the resources you use. Please keep in mind that pricing might have changed since then, so I recommend visiting the AWS SageMaker Pricing page to get the most up-to-date information.

The cost of using AWS SageMaker can vary depending on the following factors:

1. **Notebook Instances**: The cost depends on the instance type and the duration of usage.

2. **Training Jobs**: The cost is determined by the instance type used for training, the number of instances, and the training duration.

3. **Inference Endpoints**: The cost varies based on the instance type used for inference and the number of instances deployed.

4. **Data Storage**: The charges depend on the volume of data stored in Amazon S3 or EBS.

5. **Model Hosting**: This cost applies when you deploy models to real-time endpoints for inference.

6. **Data Transfer**: Charges may apply for data transfer in and out of SageMaker.

7. **Spot Instances**: Using Spot Instances can reduce costs, but availability might not be guaranteed.

To get the most accurate pricing information, it’s best to check directly on the AWS SageMaker Pricing page, where you can find detailed information about each service and the associated costs. You can also use the AWS Simple Monthly Calculator to estimate your potential costs based on your usage patterns and requirements.