AWS – Now Use Tags to Track and Allocate Amazon SageMaker Studio Notebooks Costs

Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps required to prepare data, as well as build, train, and deploy models. With a single click, data scientists and ML developers can quickly spin up SageMaker Studio Notebooks for exploring datasets and building models. Now you can use custom resource tags to track and categorize the costs of SageMaker Studio Notebooks by users, groups, lines of businesses, or cost centers.  

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