This book will brief you about how different VMware tools will help customers to reap the benefits of intelligent automatic detection and prediction. This offering will enable them to detect, visualize, and troubleshoot anomalies, future needs, and potential modern applications and infrastructure issues—all this without any additional skillset for statistical or algorithm expertise from the user's side. VMware provides customers unified visibility into the health and typical behavior of metrics across all services without user assistance, and therefore reduces troubleshooting time. These tools will also help in forecasting to understand future capacity needs and to maximize application and infrastructure efficiency cost-effectively.

This chapter briefs you on how to virtualize GPU in a vSphere environment by using different modes, creating profiles for specific groups of users, and information about different NVIDIA graphics cards and their usage. We will also learn about configuring NVIDIA GPU in vSphere for machine learning (ML)-based workloads with different use cases to achieve specific business objectives while reducing cost.

The topics that we we will cover in this chapter are as follows:

• ML and VMware
• Different modes of using GPUs
• ML with NVIDIA GPUs