When I partition the GPU, I basically partition the GPU for assignment to VMs. Each instance has 16 GB Frame Buffer (totaling 4 GPUs and 64 GB Frame Buffer on this board). With the A16, I can partition each of the GPUs differently, you see that the first instance has ONE partition, the second instance has FOUR partitions, and I’m currently configuring the fourth instance. Select your GPU and then the number of partitions you want to create.Īs you can see, I’m using an NVIDIA A16 GPU, which actually contains four GPUs in one GPU board. Then, open your cluster in Windows Admin Center and select CPUs in the left menu,Ĭlick on GPU Partitions and then Configure Partition Count and you should end up in a screen like this: Open up Windows Admin Center, and install the GPU extension following this Microsoft Learn guide you will browse for the GPU Extension and get it installed. Install the drivers using this command: pnputil /add-driver nvgridswhci.inf /subdirs /install /rebootĪfter reboot and successful installation of your NVIDIA drivers, now it is time to partition the GPU and assign it to your VMs. Run Powershell on your Azure Stack HCI navigate to the \Host_Drivers\Azure_Stack_HCI\Display.Driver\ folderĥ. Extract the download and transfer the extracted files to the Azure Stack HCI cluster storageĤ. This archive also contains a Grid vGPU User Guide that will give you a good overview of supported GPUs on Azure Stack HCI.ģ. Download the NVIDIA for Azure Stack HCI drivers from the NVIDIA enterprise portal I’m using 15.2 version of driver. I have removed the cover of the GPU, and added a series of mounted fans blowing air to the GPU and have custom madeģD-printed supports for the GPU and fans keep them aligned.Ģ. Physically install the GPU The NVIDIA A16 – OBS! This is unsupported by NVIDIA, don’t do this at home! □ Installation of the GPU was easy in Azure Stack HCI here is what I did:ġ.
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