Azure Arc rebranding: non-Arc VMs

Author: v-sissondan

azure-local/includes/hci-arc-vm-windows-admin-center.md

@@ -1,10 +1,10 @@
 ---
 author: alkohli
 ms.topic: include
-ms.date: 01/08/2025
+ms.date: 03/17/2025
 ms.author: alkohli
 
 ---
 
 > [!NOTE]
-> The recommended way to create and manage VMs on Azure Local is using the [Azure Arc control plane](../manage/azure-arc-vm-management-overview.md). However, since the functionality described in this article is not yet provided by Azure Arc, you can use Windows Admin Center or PowerShell as described below. Note that VMs created this way aren't Arc-enabled VMs. They have limited manageability from the Azure Arc control plane and fewer Azure Hybrid Benefits, such as no free use of Azure Update Manager.
+> The recommended way to create and manage VMs on Azure Local is using [Azure Local VM management](../manage/azure-arc-vm-management-overview.md). However, since the functionality described in this article isn't yet provided by Azure Local VM management, you can use Windows Admin Center or PowerShell as described below. Note however that Azure Local VMs created this way aren't enabled by Azure Arc. They have limited manageability from the Azure Local VM management plane and fewer Azure Hybrid Benefits, such as no free use of Azure Update Manager.

azure-local/includes/hci-arc-vm.md

@@ -1,12 +1,12 @@
 ---
 author: alkohli
 ms.topic: include
-ms.date: 01/08/2025
+ms.date: 03/17/2025
 ms.author: alkohli
 
 ---
 
 <!--- Link must remain site-relative to prevent build issues with incoming includes from the windowsserverdocs repo --->
 
 > [!NOTE]
-> The recommended way to create and manage VMs on Azure Local is using the [Azure Arc control plane](/azure-stack/hci/manage/azure-arc-vm-management-overview). Use the mechanism described below to manage your VMs only if you need functionality that is not available in Azure Arc VMs.
+> The recommended way to create and manage VMs on Azure Local is using [Azure Local VM management](/azure-stack/hci/manage/azure-arc-vm-management-overview). Use the mechanism described below to manage your VMs only if you need functionality that is not available in Azure Local VMs enabled by Azure Arc.

azure-local/manage/attach-gpu-to-linux-vm.md

@@ -6,7 +6,7 @@ ms.author: alkohli
 ms.topic: how-to
 ms.service: azure-local
 ms.custom: linux-related-content
-ms.date: 10/23/2024
+ms.date: 03/17/2025
 ---
 
 # Attaching a GPU to an Ubuntu Linux VM on Azure Local

azure-local/manage/gpu-manage-via-device.md

@@ -5,14 +5,14 @@ author: alkohli
 ms.author: alkohli
 ms.topic: how-to
 ms.service: azure-local
-ms.date: 10/21/2024
+ms.date: 03/17/2025
 ---
 
 # Manage GPUs via Discrete Device Assignment (preview)
 
 [!INCLUDE [applies-to](../includes/hci-applies-to-23h2.md)]
 
-This article describes how to manage GPU DDA with Arc virtual machines (VMs) on Azure Local. For GPU DDA management on AKS enabled by Azure Arc, see [Use GPUs for compute-intensive workloads](/azure/aks/hybrid/deploy-gpu-node-pool#create-a-new-workload-cluster-with-a-gpu-enabled-node-pool).
+This article describes how to manage GPU DDA with Azure Local virtual machines (VMs) enabled by Azure Arc. For GPU DDA management on Azure Kubernetes Service (AKS) enabled by Azure Arc, see [Use GPUs for compute-intensive workloads](/azure/aks/hybrid/deploy-gpu-node-pool#create-a-new-workload-cluster-with-a-gpu-enabled-node-pool).
 
 Discrete Device Assignment (DDA) allows you to dedicate a physical graphical processing unit (GPU) to your workload. In a DDA deployment, virtualized workloads run on the native driver and typically have full access to the GPU's functionality. DDA offers the highest level of app compatibility and potential performance.
 
@@ -24,17 +24,17 @@ Discrete Device Assignment (DDA) allows you to dedicate a physical graphical pro
 
 Before you begin, satisfy the following prerequisites:
 
-- Follow the setup instructions found at [Prepare GPUs for Azure Local](./gpu-manage-via-device.md) to prepare your Azure Local and Arc VMs, and to ensure that your GPUs are prepared for DDA.  
+- Follow the setup instructions found at [Prepare GPUs for Azure Local](./gpu-manage-via-device.md) to prepare your Azure Local VMs, and to ensure that your GPUs are prepared for DDA.  
 
-## Attach a GPU during Arc VM creation
+## Attach a GPU during Azure Local VM creation
 
-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.
+Follow the steps outlined in [Create 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.
 
 ```azurecli
 az stack-hci-vm create --name $vmName --resource-group $resource_group --admin-username $userName --admin-password $password --computer-name $computerName --image $imageName --location $location --authentication-type all --nics $nicName --custom-location $customLocationID --hardware-profile memory-mb="8192" processors="4" --storage-path-id $storagePathId --gpus GpuDDA
 ```
 
-## Attach a GPU after Arc VM creation
+## Attach a GPU after VM creation
 
 Use the following CLI command to attach the GPU:
 

azure-local/manage/gpu-preparation.md

@@ -4,15 +4,15 @@ description: Learn how to prepare GPUs for an Azure Local instance.
 author: alkohli
 ms.author: alkohli
 ms.topic: how-to
-ms.date: 03/03/2025
+ms.date: 03/17/2025
 ms.service: azure-local
 ---
 
 # Prepare GPUs for Azure Local
 
 [!INCLUDE [applies-to](../includes/hci-applies-to-23h2.md)]
 
-This article describes how to prepare graphical processing units (GPUs) on your Azure Local instance for computation-intensive workloads running on Arc virtual machines (VMs) and AKS enabled by Azure Arc. GPUs are used for computation-intensive workloads such as machine learning and deep learning.
+This article describes how to prepare graphical processing units (GPUs) on your Azure Local instance for computation-intensive workloads running on Azure Local virtual machines (VMs) enabled by Azure Arc and Azure Kubernetes Service (AKS) enabled by Azure Arc. GPUs are used for computation-intensive workloads such as machine learning and deep learning.
 
 
 ## Attaching GPUs on Azure Local
@@ -41,12 +41,12 @@ NVIDIA supports their workloads separately with their virtual GPU software. For
 
 For AKS workloads, see [GPUs for AKS for Arc](/azure/aks/hybrid/deploy-gpu-node-pool#supported-gpu-models).
 
-The following GPU models are supported using both DDA and GPU-P for Arc VM workloads:
+The following GPU models are supported using both DDA and GPU-P for Azure Local VM workloads:
 
 - NVIDIA A2
 - NVIDIA A16
 
-These additional GPU models are supported using GPU-P (only) for Arc VM workloads:
+These additional GPU models are supported using GPU-P (only) for VM workloads:
 
 - NVIDIA A10
 - NVIDIA A40
@@ -263,7 +263,7 @@ Follow these steps to configure the GPU partition count in PowerShell:
 
 ## Guest requirements
 
-GPU management is supported for the following Arc VM workloads:
+GPU management is supported for the following VM workloads:
 
 - Generation 2 VMs