Book Image

Intelligent Automation with VMware

By : Ajit Pratap Kundan
Book Image

Intelligent Automation with VMware

By: Ajit Pratap Kundan

Overview of this book

This book presents an introductory perspective on how machine learning plays an important role in a VMware environment. It offers a basic understanding of how to leverage machine learning primitives, along with a deeper look into integration with the VMware tools used for automation today. This book begins by highlighting how VMware addresses business issues related to its workforce, customers, and partners with emerging technologies such as machine learning to create new, intelligence-driven, end user experiences. You will learn how to apply machine learning techniques incorporated in VMware solutions for data center operations. You will go through management toolsets with a focus on machine learning techniques. At the end of the book, you will learn how the new vSphere Scale-Out edition can be used to ensure that HPC, big data performance, and other requirements can be met (either through development or by fine-tuning guidelines) with mainstream products.
Table of Contents (20 chapters)
Title Page
About Packt
Contributors
Preface
Index

Chapter 14. High-Performance Computing

In this chapter, we will learn about the specific aspects of virtualization that can enhance the productivity of a High Performance Computing (HPC) environment. We will focus on the capabilities provided by VMware vSphere, and how virtualization improves scientific productivity.

We will explore vSphere features, such as Single Root I/O Virtualization (SR-IOV), remote direct memory access (RDMA), and vGPU, to architect and meet the requirements for research, computing, academic, scientific, and engineering workloads.

This chapter covers the following topics:

  • Virtualizing HPC applications
  • Multi-tenancy with guaranteed resources