Because your instance metadata is available from your running instance, you do not need to use the Amazon EC2 console or the AWS CLI. This can be helpful when you're writing scripts to run from your instance. For example, you can access the local IP address of your instance from instance metadata to manage a connection to an external application.

Search for an AMI that meets your requirements.

View a list of existing Amazon SageMaker domains and edit domain settings from that list.

Connect to your Linux instances and transfer files to and from your local computer.

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.

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

Add rules to your security group for specific kinds of access.

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

Amazon SageMaker Studio Classic is an integrated machine learning environment where you can build, train, deploy, and analyze your models all in the same application.

Using SageMaker for large model inference.