SageMaker Free Tier summary for geospatial ML

As part of the AWS Free Tier, you can get started with SageMaker geospatial capabilities for free. The free tier starts from the first month when you create your first SageMaker resource. The Free Tier lasts 60 days and includes no monthly user fee, 10 free ml.geospatial.interactive compute hours, and up to 10 GB of free storage. After the 60-day free trial period is complete, or if you exceed the Free Tier limits defined above, you pay for the components outlined in the pricing table below.

Pricing table

SageMaker geospatial capabilities also supports G5 and Processing instances. For details on G5 and Processing instance types and pricing refer to the Sagemaker pricing page.

Pricing examples

Example 1: Using SageMaker geospatial capabilities notebook and geospatial operations

You have a team of one data scientist and one geospatial analyst who want to try the SageMaker geospatial capabilities. Let’s say one of them builds an ML model to predict crop yield, for which they access Landsat 8 data for farm fields in Utah. The geospatial analyst wants to plot the crop yield predictions on the satellite image, explore the results, and analyze them. Throughout the analysis (after consuming the Free Tier resources), the team is logged in to SageMaker geospatial capabilities notebook for 10 hours for the month. During the month, the data scientist runs geospatial operations as jobs for 20 hours and generates 30 GB of data, which is stored for a month. The bill at the end of the month would be calculated as follows:

Monthly user fee = $150 * 2 = $300
Compute charges for ml.geospatial.interactive: $1.20 * 10 = $12.00
Compute charges for ml.geospatial.jobs: $0.40 * 20 = $8.00
Storage charges: $0.023 * 30 = $0.69

Total = $300 + $12.00 + $8.00 + $0.69 = $320.69

Example 2: Using SageMaker geospatial capabilities notebook, geospatial operations, and models

Let’s say you have a team of two data scientists and eight decision makers who want to use a model with SageMaker geospatial capabilities. The data scientists access 5 years of Sentinel-2 data for London and New York, run the SageMaker geospatial capabilities–provided model on Sentinel-2 data, view the model predictions, and share them with the decision makers. During the process (after consuming the Free Tier resources), the team is logged in to the SageMaker geospatial capabilities notebook for a total of 100 hours for the month, runs 220 hours of jobs to preprocess data, runs a prebuilt landcover segmentation model for 20 hours, and generates 200 GB of data, which is stored for a month. The bill at the end of the month would be calculated as follows:

Monthly user fee = $150 * 10 = $1500
Compute charges for ml.geospatial.interactive: $1.20 * 100 = $120.00
Compute charges for ml.geospatial.jobs: $0.40 * 220 = $88.00
Compute charges for ml.geospatial.model: $2.50 * 20 = $50.00
Storage charges: $0.023 * 200 = $4.60

Total = $1500 + $120.00 + $88.00 + $50 + $5.20 = $1763.20 

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