SageMaker Distribution is a collection of Docker images, which includes popular libraries and packages for machine learning, data science, and data analytics visualization. The Docker images include deep learning frameworks such as the following:

Create your own AMI from a customized Amazon EBS-backed Linux instance.

Use Amazon EC2 to reboot your instance for necessary maintenance.

Connect to your Linux instances and transfer files to and from your Windows local machine.

Change the instance type of your Amazon EC2 instance to an instance type that is appropriate for its workload or to use features that are available on other instance types.

Amazon EC2 provides a variety of instance types with different compute, memory, storage, and network capabilities.

Amazon EC2 Global View enables you to view some of your Amazon EC2 and Amazon VPC resources across a single AWS Region, or across multiple Regions in a single console. Amazon EC2 Global View also provides global search functionality that lets you search for specific resources or specific resource types across multiple Regions simultaneously.

Amazon Q EC2 instance type selector considers your use case, workload type, and CPU manufacturer preference, as well as how you prioritize price and performance. It then uses this data to provide guidance and suggestions for Amazon EC2 instance types that are best suited to your new workloads.

Use a block device mapping to specify additional EBS volumes or instance store volumes for your instance when it's launched.

You can assign a security group to an instance when you launch the instance. When you add or remove rules, those changes are automatically applied to all instances to which you've assigned the security group. For more information, see .