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Lenovo ThinkAgile MX GPU-P Configuration Guide

Planning / Implementation

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Published
9 Apr 2025
Form Number
LP2197
PDF size
18 pages, 812 KB

Abstract

Graphics Processing Unit (GPU) virtualization technologies enable GPU acceleration in a virtualized environment, typically within virtual machines. If a workload is virtualized with Hyper-V, graphics virtualization can be employed in order to provide GPU acceleration from the physical GPU to the virtualized apps or services. GPUs can be included in an Azure Local instance to provide GPU acceleration to workloads running in clustered virtual machines.

This document provides instructions and examples to configure GPU-P for use by an Azure Local instance or S2D cluster in Windows Server 2025 Datacenter Edition. We assume that the cluster has already been created. We include information for installing GPU device drivers on hosts and VMs, creating GPU partitions, assigning these partitions to VMs, and configuring Windows Admin Center to view and manage GPU partitions.

Table of Contents

Introduction
GPU driver installation
Create and assign GPU partitions
Manage GPUs using WAC
Summary
Additional resources

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