Preface

Applied machine learning (ML) and high-performance computing (HPC) have been integral to tackling the world’s most complex problems, including genomics, autonomous vehicles, computational fluid dynamics, and numerical optimization. Due to the high computing power required for these applications, HPC was once only used by large organizations that could afford it. Now, it is available for use by everyone, from individual research groups to start-ups and big enterprises, using Amazon Web Services (AWS) cloud technology.

This book provides a complete step-by-step explanation of the essential concepts with practical examples. You will begin by exploring virtually unlimited infrastructure and fast networking for scalable HPC on AWS, including an overview of the relevant tools and technologies. You’ll learn how to develop large-scale ML applications using HPC on AWS, you will understand the various architectural components, and you’ll learn about performance optimization, with hands-on application to real-world use cases in various domains.

By the end of this book, you will be able to build and deploy your own large-scale ML applications using HPC on AWS, following the industry best practices and addressing the key pain points encountered in the application life cycle.