Amazon SageMaker Studio is now expanded to AWS regions worldwide
Amazon SageMaker Studio is now available in thirteen more AWS regions, bringing its total available regions to twenty-two. 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, giving you complete access, control, and visibility required to build, train, and deploy models. Within the unified SageMaker Studio visual interface, you can perform all ML development activities including notebooks, experiment management, automatic model creation, debugging, and model drift detection.
Amazon SageMaker Studio is now available in thirteen more AWS regions, bringing its total available regions to twenty-two. 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, giving you complete access, control, and visibility required to build, train, and deploy models. Within the unified SageMaker Studio visual interface, you can perform all ML development activities including notebooks, experiment management, automatic model creation, debugging, and model drift detection.
The thirteen new AWS regions are Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Mumbai), Asia Pacific (Hong Kong), Asia Pacific (Seoul), Europe (Stockholm), Europe (Paris), Europe (London), Middle East (Bahrain), South America (Sao Paulo), US West (Northern California), and Canada (Central). Visit the documentation for more information on Amazon SageMaker Studio.