Secure short-term GPU capacity for ML workloads with EC2 Capacity Blocks for ML and SageMaker training plans

In this post, you will learn how to secure reserved GPU capacity for short-term workloads using Amazon Elastic Compute Cloud (Amazon EC2) Capacity Blocks for ML and Amazon SageMaker training plans. These solutions can address GPU availability challenges when you need short-term capacity for load testing, model validation, time-bound workshops, or preparing inference capacity ahead of a release.

Source: AWS ML Blog | 2026-05-07