Amazon SageMaker Studio is a single web-based interface with comprehensive machine learning (ML) tools and a choice of fully managed integrated development environments (IDEs) to perform every step of ML development, from preparing data to building, training, deploying, and managing ML models. Amazon EFS is a simple, serverless, set-and-forget, elastic file system that makes it easy to set up, scale, and cost-optimize file storage in the AWS Cloud. Today, we are excited to announce a new capability that allows you to bring you own EFS volume to access your large ML datasets or shared code from IDEs such as JupyterLab and Code Editor in SageMaker Studio.
Source:: Amazon AWS