Compile deep learning (DL) models to achieve an improved training efficiency by using Amazon SageMaker Training Compiler.

Use Amazon Elastic Inference (EI) to speed up the throughput and decrease latency for inference in Amazon SageMaker

Inference recommendation and load balancing testing with Amazon SageMaker Inference Recommender.

You can use Amazon EC2 to create your key pairs, or you can use a third-party tool to create your key pairs, and then import them to Amazon EC2.

Monitor scheduled events for your instances.

Discusses the different input modes and AWS cloud storage for accessing the training dataset.

Add an instance store volume to an Amazon EC2 instance at launch and then prepare it for use.

The rules of a security group control the inbound traffic that's allowed to reach the instances that are associated with the security group. The rules also control the outbound traffic that's allowed to leave them.

The following tools can help you select the optimal instance types for your new or existing workloads:

How to connect to your Windows instance.