Learn how to select ML instances on the fly in Amazon SageMaker Studio Amazon Web Services

Amazon Web Services (AWS) is happy to announce the general availability of Notebooks within Amazon SageMaker Studio. Amazon SageMaker Studio supports on-the-fly selection of machine learning (ML) instance types, optimized and pre-packaged Amazon SageMaker Images, and sharing of Jupyter notebooks. You can switch a notebook from using a kernel on one instance type to another, for example from ml.t3.medium to ml.p3.2xlarge, without interrupting your work or managing infrastructure. Moving from one instance to another is seamless, and you can continue working while the instance launches. Your notebooks and data are available instantly on the new instance due to the Amazon Elastic File System (Amazon EFS) that is created for your Amazon SageMaker Studio domain.