You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This article describes how to manage GPU-P with Arc virtual machines (VMs) for Azure Local. GPU Partitioning (GPU-P) allows you to share a graphical processing unit (GPU) with multiple workloads by splitting the GPU into dedicated fractional partitions.
15
+
This article describes how to manage GPU-P with Azure Local virtual machines (VMs) enabled by Azure Arc. GPU Partitioning (GPU-P) allows you to share a graphical processing unit (GPU) with multiple workloads by splitting the GPU into dedicated fractional partitions.
16
16
17
17
> [!IMPORTANT]
18
18
> This feature is currently in PREVIEW. See the [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/) for legal terms that apply to Azure features that are in beta, preview, or otherwise not yet released into general availability.
@@ -43,15 +43,15 @@ Consider the following limitations when using the GPU-P feature:
43
43
44
44
## Attach a GPU during Arc VM creation
45
45
46
-
Follow the steps outlined in [Create Arc virtual machines on Azure Local](create-arc-virtual-machines.md?tabs=azurecli) and utilize the additional hardware profile details to add GPU to your create process. Run the following:
46
+
Follow the steps outlined in [Create Azure Local virtual machines](create-arc-virtual-machines.md?tabs=azurecli) and utilize the additional hardware profile details to add GPU to your create process. Run the following:
0 commit comments