Describes how you can track the lineage of machine learning workflows.

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.

Automatically build, train, tune, and deploy models using Autopilot.

Using SageMaker for large model inference.

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.