Merging changes synced from https://github.com/MicrosoftDocs/azure-stack-docs-pr (branch live)

Author: Learn Build Service GitHub App

AKS-Hybrid/deploy-ai-model.md

@@ -119,7 +119,7 @@ To deploy the AI model, follow these steps:
 
 1. Create a YAML file using the following template. KAITO supports popular OSS models such as Falcon, Phi3, Llama2, and Mistral. This list might increase over time.
 
-   - The **PresetName** is used to specify which model to deploy, and you can find its value in the [supported model file](https://github.com/Azure/kaito/blob/main/presets/models/supported_models.yaml) in the GitHub repo. In the following example, `falcon-7b-instruct` is used for the model deployment.
+   - The **PresetName** is used to specify which model to deploy, and you can find its value in the [supported model file](https://github.com/kaito-project/kaito/blob/main/presets/workspace/models/supported_models.yaml) in the GitHub repo. In the following example, `falcon-7b-instruct` is used for the model deployment.
    - We recommend using `labelSelector` and `preferredNodes` to explicitly select the GPU node by name. In the following example, `app: llm-inference` is used for the GPU node `moc-le4aoguwyd9`. You can choose any node label you want, as long as the labels match. The next step shows how to label the node.
 
    ```yaml

azure-local/concepts/storage-spaces-direct-overview.md

@@ -4,7 +4,7 @@ ms.author: cosdar
 manager: dongill
 ms.topic: article
 author: cosmosdarwin
-ms.date: 02/22/2024
+ms.date: 01/03/2025
 ms.assetid: 8bd0d09a-0421-40a4-b752-40ecb5350ffd
 description: An overview of Storage Spaces Direct, a feature of Windows Server and Azure Stack HCI that enables you to cluster servers with internal storage into a software-defined storage solution.
 ---
@@ -32,8 +32,6 @@ You can deploy Storage Spaces Direct on a cluster of physical servers or on virt
 
 Deploying Storage Spaces Direct on VM guest clusters delivers virtual shared storage across a set of VMs on top of a private or public cloud. In production environments, this deployment is supported only in Windows Server. For information about how to deploy Storage Spaces Direct on VM guest clusters in Windows Server, see [Using Storage Spaces Direct in guest virtual machine clusters](/windows-server/storage/storage-spaces/storage-spaces-direct-in-vm).
 
-For testing and evaluation purposes only, you can deploy Storage Spaces Direct on VM guest clusters in Azure Stack HCI test environments. For information about deploying it in Azure Stack HCI test environments, see [Tutorial: Create a VM-based lab for Azure Stack HCI](/azure-stack/hci/deploy/tutorial-private-forest).
-
 ## How it works
 
 Storage Spaces Direct applies many of the features in Windows Server, such as Failover Clustering, the Cluster Shared Volume (CSV) file system, Server Message Block (SMB) 3, and Storage Spaces. It also introduces a new technology called Software Storage Bus.

azure-local/deploy/create-cluster-powershell.md

@@ -3,7 +3,7 @@ title: Create an Azure Stack HCI cluster using Windows PowerShell
 description: Learn how to create a cluster for Azure Stack HCI using Windows PowerShell
 author: ronmiab
 ms.topic: how-to
-ms.date: 01/31/2024
+ms.date: 01/03/2025
 ms.author: robess
 ms.reviewer: robhind
 ---
@@ -36,8 +36,6 @@ For the stretched cluster scenario, we use ClusterS1 as the name and use the sam
 
 For more information about stretched clusters, see [Stretched clusters overview](../concepts/stretched-clusters.md).
 
-To test Azure Stack HCI with minimal or no extra hardware, you can check out the [Azure Stack HCI Evaluation Guide](https://github.com/Azure/AzureStackHCI-EvalGuide/blob/main/README.md). In this guide, we walk you through experiencing Azure Stack HCI using nested virtualization inside an Azure VM. Or try the [Create a VM-based lab for Azure Stack HCI](tutorial-private-forest.md) tutorial to create your own private lab environment using nested virtualization on a server of your choice to deploy VMs running Azure Stack HCI for clustering.
-
 ## Before you begin
 
 Before you begin, make sure you:

azure-local/deploy/create-cluster.md

@@ -3,7 +3,7 @@ title: Create an Azure Stack HCI cluster using Windows Admin Center
 description: Learn how to create an Azure Stack HCI cluster using Windows Admin Center
 author: JasonGerend
 ms.topic: how-to
-ms.date: 10/23/2024
+ms.date: 01/03/2025
 ms.author: jgerend
 ms.reviewer: shsathee
 ---
@@ -21,8 +21,6 @@ Now that you've deployed the Azure Stack HCI operating system, you'll learn how
 > [!NOTE]
 > If you are doing a single server installation of Azure Stack HCI 21H2, use [PowerShell](../deploy/create-cluster-powershell.md#using-windows-powershell) to create the cluster.
 
-To create your own private lab environment using nested virtualization on a server of your choice to deploy VMs running Azure Stack HCI, see [Create a VM-based lab for Azure Stack HCI](tutorial-private-forest.md).
-
 ## Cluster creation workflow
 
 Here's the workflow for creating a cluster in Windows Admin Center:

azure-local/whats-new.md

@@ -5,7 +5,7 @@ ms.topic: overview
 author: alkohli
 ms.author: alkohli
 ms.service: azure-stack-hci
-ms.date: 12/17/2024
+ms.date: 01/03/2025
 ---
 
 # What's new in Azure Local, version 23H2
@@ -16,7 +16,7 @@ ms.date: 12/17/2024
 
 This article lists the various features and improvements that are available in Azure Local, version 23H2.
 
-Azure Local, version 23H2 is the latest version of the Azure Local solution. This version focuses on cloud-based deployment and updates, cloud-based monitoring, new and simplified experience for Arc VM management, security, and more. For an earlier version of Azure Local, see [What's new in Azure Local, version 22H2](./whats-new-in-hci-22h2.md).
+Azure Local, version 23H2 is the latest version of the Azure Local solution. This version focuses on cloud-based deployment and updates, cloud-based monitoring, new and simplified experience for Arc VM management, security, and more.
 
 There are multiple release trains for Azure Local, version 23H2: 2411, 2408, 2405, 2402, and 2311. The various features and improvements available for the releases included in these trains are discussed in the following sections.