Amazon EC2 Capacity Blocks for ML

This course is focused on explaining Amazon EC2 Capacity Blocks for machine learning (ML) and how they can be utilized to reserve GPU instance capacity in advance for ML workloads.

Learning Objectives

• Learn the purpose and benefits of EC2 capacity blocks for machine learning

• Understand the pricing considerations for EC2 capacity blocks

• Understand the lifecycle of EC2 capacity blocks and how they are utilized

Intended Audience

• Machine learning engineers

• Infrastructure engineers with an interest in machine learning

• Anyone managing the underlying compute capacity for training and deploying machine learning models

Prerequisites

To get the most out of this lesson, you should have:

• A strong understanding of Amazon EC2, including EC2 instance types

• The different pricing models for EC2 instances

• Familiarity with Amazon EventBridge, AWS CloudTrail, and Amazon EC2 UltraClusters