Launch your EC2 instance in a VPC to get advanced features for your instance.

You can quickly remap an Elastic IP address from one instance to another to work around problems with your instance or software.

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

Amazon Machine Images use one of two types of virtualization: paravirtual (PV) or hardware virtual machine (HVM). Learn the differences between these virtualization types.

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

View your current quotas (also referred to as limits) for Amazon EC2 and request increases in these quotes as needed.

Find an Amazon EC2 instance to match the features that you need.

You can describe the key pairs that you stored in Amazon EC2. You can also retrieve the public key material and identify the public key that was specified at launch.

Learn more about how to get inferences from your Amazon SageMaker models and deploy your models for serving inference.

The following diagram shows how you train and deploy a model with Amazon SageMaker. Your training code accesses your training data and outputs model artifacts from an S3 bucket. Then you can make requests to a model endpoint to run inference. You can store both the training and inference container images in an Amazon Elastic Container Registry (ECR).