Unlocking the Potential of Python for vGPU Management in VMware vSphere

In this blog post, we will discuss managing vGPUs using Python. We will cover two ways of calling objects in the session and provide a MOB cheat sheet to help navigate through your environment and determine the types of objects available. The code is available on GitHub for you to try out yourself, and we’ll go over how to find what hosts have GPUs, which VMs have vGPUs, add a vGPU to a VM, and remove one. Unfortunately, due to limitations in the vSphere API, we cannot access information provided by NVIDIA Management Library (NVML), but we hope this helps you unlock secrets of managing your vGPUs with Python. May your servers run continuously, and your data center stay chilled.

We will explore two ways to call objects in the session: navigating directly to objects and using a container view. We’ll discuss how to find what hosts have GPUs, which VMs have vGPUs, add a vGPU to a VM, and remove one. The code is available on GitHub for you to try out yourself, and we’ll provide a MOB cheat sheet to help navigate through your environment and determine the types of objects available.

The main areas for objects are:

All of the code discussed in the session is available on GitHub, so you can try it out yourself. We’ll also provide details on how to find what hosts have GPUs, which VMs have vGPUs, add a vGPU to a VM, and remove one. Unfortunately, due to limitations in the vSphere API, we cannot access information provided by NVIDIA Management Library (NVML), but we hope this helps you unlock secrets of managing your vGPUs with Python. May your servers run continuously, and your data center stay chilled.

To navigate to objects directly or use a container view, we’ll discuss how to find what hosts have GPUs, which VMs have vGPUs, add a vGPU to a VM, and remove one. The code is available on GitHub for you to try out yourself, and we’ll provide a MOB cheat sheet to help navigate through your environment and determine the types of objects available.

In conclusion, we hope this helps you unlock secrets of managing your vGPUs with Python. May your servers keep running, and your data center stay chilled. Permanent link to this article:

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In the interest of full disclosure, I am an employee of Dell EMC. The views expressed herein do not represent the views of Dell Technologies or its subsidiary companies.

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