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Updated
14 Feb 2023Form Number
LP1619PDF size
22 pages, 1.5 MBSubscribed to LP1619.
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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, then graphics virtualization can be employed in order to provide GPU acceleration from the physical GPU to the virtualized apps or services. Since Azure Stack HCI uses Hyper-V for workload virtualization, the above is true for all Lenovo ThinkAgile MX solutions, whether running a Windows Server or Azure Stack HCI operating system.
This document provides instructions and examples to configure GPUs for use by these operating systems. We include information for installing GPU device drivers, configuring Windows Admin Center to manage GPUs, creating GPU Pools, and assigning virtual machines to GPUs in a pool.
Table of Contents
Introduction
GPU driver installation
Manage GPUs using WAC
Summary
Additional resources
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Change History
Changes in the February 2023 update:
- Added note regarding the NVIDIA Quadro RTX 6000 GPU only supporting Windows Server 2019.
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