Using newer versions not aligned with the Azure Stack Hub version can cause usability issues. The guest driver version must match the Azure Stack Hub version, regardless of the connectivity state. Settings $Settings ` # If no settings are set, omit this parameterÄepending on the OS, type and connectivity of your Azure Stack Hub GPU VM, you will need to modify with the settings below. Set-AzureRmVMExtension -Location $Location ` $driverVersion = #Nvidia Driver Version:"1.3" AMD Driver Version:"1.0" $driverType = #GPU Driver Types: "NvidiaGpuDriverWindows" "NvidiaGpuDriverLinux" "AmdGpuDriverWindows" $driverPublisher = "Microsoft.HpcCompute" The following PowerShell cmdlets can be used for driver installation: $VmName = Post FRU completion, VM needs to be stop-deallocated using the Stop button and started back up using the Start button. If there are available GPUs, VM may be stop-deallocated and restarted during FRU. VM will automatically come back up post update If the VM needs to be made available during the update, if there are available GPU partitions, the VM can be restarted from the portal by clicking the Restart button. Can be made available with manual operation. The following table covers the state of the VM as observed during these activities and the manual action you can do to make these VMs available after the operation. GPU VMs will undergo downtime during operations such as patch and update (PnU) and hardware replacement (FRU) of Azure Stack Hub. If the system already had GPUs, then any previously created GPU VMs will need to be stop-deallocated and then restarted. To do this, execute stop-azurestack, run through the procedure of stop-azurestack, add GPUs, and then run start-azurestack until completion. Adding GPUs on an existing Azure Stack HubĪzure Stack Hub now supports adding GPUs to any existing system. The Azure Stack Hub capacity planner has been updated to support GPU configurations. GPU partition size (for AMD Mi25) needs to be the same throughout all GPU VMs on the scale unit.All GPU quantities per server must be the same throughout the scale unit.All GPUs must be of the exact same SKU throughout the scale unit.Number of GPUs per server supported (1, 2, 3, 4).
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