Building an opensource high availability datacenter with shared GPU

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TE7730 V1 Article

Building an opensource high availability datacenter with shared GPU

Author : Laurent LEVIER

Publication date: July 10, 2019 | Lire en français

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Overview

ABSTRACT

Virtual is the word of our time. From the moment when a physical computer was needed for each server, data processing now permits to host infinity of servers with different needs and operating systems on the same sharing physical machine, while there are resources to share.

This evolution offers the capability to access at low cost new services such as high availability or sharing specific hardware such as graphic processors. If such an infrastructure can be built without additional software costs for a similar service, there is no time to lose and following this article will permit to make the step forward.

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 INTRODUCTION

In recent years, the IT world has made great leaps forward in virtualization. From a situation where each computer was installed under a particular operating system, we've moved on to an era where a single system can host an infinite number of others.

This evolution, based on the sharing of machine resources, has considerably reduced hardware requirements, with the main criterion becoming the availability of processor, memory or disk resources. It has also enabled access to new capabilities, such as high application availability, at much lower cost. In some cases, this can also enable the implementation of machines based on other processors or different operating systems, such as Android on an ARM processor or MacOS.

To take advantage of all these new services, all you need to do is install these physical servers in the form of hypervisors, whose function will be to host virtual machines.

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KEYWORDS

virtualization   |   virtual machine   |   container   |   datacenter

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