Amazon SageMaker now supports using geospatial capabilities with GPU-based instances in Notebook, enabling faster training and inference of machine learning models using geospatial data.

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<p>The article summarizes the recent addition of support for GPU-based instances with the geospatial image in Amazon SageMaker Studio's notebook. This new feature enables data scientists and machine learning engineers to build, train, and deploy ML models using geospatial data more efficiently.</p>
<p>Specifically, the article covers:</p>
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<li>The geospatial image within SageMaker Studio Notebooks provides access to a geospatial data catalog, open-source geospatial libraries, pre-trained models, and visualization tools.</li>
<li>With the addition of GPU-based instances, customers can accelerate the training of models and make predictions using geospatial data.</li>
<li>This new support for GPU-based instances with the geospatial image is now Generally Available in the US West (Oregon) region.</li>
<li>The article provides links to learn more about Amazon SageMaker's geospatial ML capabilities and documentation.</li>
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Amazon SageMaker geospatial capabilities now support Notebook with GPU-based Instances

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