EC2 Capacity Blocks: Making Machine Learning More Accessible

This chapter discusses EC2 capacity blocks, a new usage model in Amazon EC2 that aims to make machine learning more accessible. It explains how capacity blocks allow customers to reserve GPU instances for the amount of time they need to train and run their machine learning workloads. The chapter also highlights the use cases for capacity blocks in the development of machine learning models and mentions companies that are utilizing capacity blocks for large-scale inference workloads and AI model training.