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

Summary


Remote computing solutions for applications such as CAD/CAM, diagnostic imaging, molecular design, and space exploration proved elusive. NVIDIA GRID vGPU technology and VMware, vSphere, and Horizon virtualization software offer cost-effective solutions for design engineers, scientific investigators, and data explorers.

Horizon offers software-based graphics acceleration, which is sufficient for basic use, but hardware-based graphics acceleration have different combinations of GRID graphics cards with server configurations and can be used to address a wide range of advanced user requirements and fulfil them within a budget. We can configure the GPU in two modes:

  • DirectPath I/O passthrough mode
  • GRID vGPU mode

Shared access to the virtualized GPU makes immersive 3D graphics applications accessible from remote devices. This solution eliminates the need for dedicated graphics workstations, improving security and freeing the users from their offices.

The next chapter is about strategies for hosting applications in such ways as to provide freedom to end users as well as full control to administrator/service providers with policy-based operations based on ML algorithms, which will also help in improving the end-user experience.