Merge pull request #103824 from sdgilley/sdg-ci-availability

PRMerger19 · web-flow · commit 88289a0535d2 · 2020-02-12T07:52:37.000-08:00
compute instance full availability
diff --git a/articles/machine-learning/concept-azure-machine-learning-architecture.md b/articles/machine-learning/concept-azure-machine-learning-architecture.md
@@ -81,9 +81,6 @@ Activities can provide notifications through the SDK or the web UI so that you c
 
 ### <a name="compute-instance"></a>Compute instance (preview)
 
-> [!NOTE]
-> Compute instances are available only for workspaces with a region of **North Central US**, **East US 2**, **North Europe** or **UK South**, with support for other regions coming soon.
->If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead. 
 
 An **Azure Machine Learning compute instance** (formerly Notebook VM) is a fully managed cloud-based workstation that includes multiple tools and environments installed for machine learning. Compute instances can be used as a compute target for training and inferencing jobs. For large tasks, [Azure Machine Learning compute clusters](how-to-set-up-training-targets.md#amlcompute) with multi-node scaling capabilities is a better compute target choice.
 
diff --git a/articles/machine-learning/concept-compute-instance.md b/articles/machine-learning/concept-compute-instance.md
@@ -22,9 +22,6 @@ Use a compute instance as your fully configured and managed development environm
 
 Compute instances are typically used as development environments.  They can also be used as a compute target for training and inferencing for development and testing.  For large tasks, an [Azure Machine Learning compute cluster](how-to-set-up-training-targets.md#amlcompute) with multi-node scaling capabilities is a better compute target choice.
 
-> [!NOTE]
-> Compute instances are currently available only for workspaces with a region of **North Central US**, **East US 2**, **North Europe** or **UK South**, with support for other regions coming soon.
->If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead. 
 
 ## Why use a compute instance?
 
diff --git a/articles/machine-learning/concept-compute-target.md b/articles/machine-learning/concept-compute-target.md
@@ -53,10 +53,6 @@ You can create Azure Machine Learning compute instances (preview) or compute clu
 
 When created these compute resources are automatically part of your workspace unlike other kinds of compute targets.
 
-> [!NOTE]
-> Compute instances are available only for workspaces with a region of **North Central US**, **East US 2**, **North Europe** or **UK South**, with support for other regions coming soon.
->If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead. 
-
 ### Compute clusters
 
 You can use Azure Machine Learning compute clusters for training and for batch inferencing (preview).  With this compute resource, you have:
diff --git a/articles/machine-learning/concept-workspace.md b/articles/machine-learning/concept-workspace.md
@@ -75,13 +75,6 @@ You can also perform the following workspace management tasks:
 | Create and manage compute resources    | **&check;**   | **&check;** | **&check;** |  **&check;**   |
 | Create a Notebook VM |   | **&check;** | |     |
 
-> [!NOTE]
-> Compute instances are available only for workspaces with a region of **North Central US**, **East US 2**, **North Europe** or **UK South**, with support for other regions coming soon.
->If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead.
-
-> [!WARNING]
-> Moving your Azure Machine Learning workspace to a different subscription, or moving the owning subscription to a new tenant, is not supported. Doing so may cause errors.
-
 ## <a name='create-workspace'></a> Create a workspace
 
 When you create a workspace, you decide whether to create it with [Basic or Enterprise edition](overview-what-is-azure-ml.md#sku). The edition determines the features available in the workspace. Among other features, Enterprise edition gives you access to [Azure Machine Learning designer](concept-designer.md) and the studio version of building [automated machine learning experiments](tutorial-first-experiment-automated-ml.md).  For more details and pricing information, see [Azure Machine Learning pricing](https://azure.microsoft.com/pricing/details/machine-learning/).
diff --git a/articles/machine-learning/how-to-configure-environment.md b/articles/machine-learning/how-to-configure-environment.md
@@ -53,10 +53,6 @@ To install the SDK environment for your [local computer](#local), [Jupyter Noteb
 
 The Azure Machine Learning [compute instance (preview)](concept-compute-instance.md) is a secure, cloud-based Azure workstation that provides data scientists with a Jupyter notebook server, JupyterLab, and a fully prepared ML environment.
 
-> [!NOTE]
-> Compute instances are available only for workspaces with a region of **North Central US**, **East US 2**, **North Europe** or **UK South**, with support for other regions coming soon.
->If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead.
-
 There is nothing to install or configure for a compute instance.  Create one anytime from within your Azure Machine Learning workspace. Provide just a name and specify an Azure VM type. Try it now with this [Tutorial: Setup environment and workspace](tutorial-1st-experiment-sdk-setup.md).
 
 
diff --git a/articles/machine-learning/how-to-create-your-first-pipeline.md b/articles/machine-learning/how-to-create-your-first-pipeline.md
@@ -35,10 +35,6 @@ If you don’t have an Azure subscription, create a free account before you begi
 
 * [Configure your development environment](how-to-configure-environment.md) to install the Azure Machine Learning SDK, or use an [Azure Machine Learning compute instance (preview)](concept-compute-instance.md) with the SDK already installed.
 
-> [!NOTE]
-> Compute instances are available only for workspaces with a region of **North Central US**, **East US 2**, **North Europe** or **UK South**, with support for other regions coming soon.
->If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead. 
-
 Start by attaching your workspace:
 
 ```Python
diff --git a/articles/machine-learning/how-to-deploy-local-container-notebook-vm.md b/articles/machine-learning/how-to-deploy-local-container-notebook-vm.md
@@ -16,10 +16,6 @@ ms.date: 10/25/2019
 
 [!INCLUDE [applies-to-skus](../../includes/aml-applies-to-basic-enterprise-sku.md)]
 
-> [!NOTE]
-> Compute instances (preview) are available only for workspaces with a region of **North Central US**, **East US 2**, **North Europe** or **UK South**, with support for other regions coming soon.
->If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead.  You can deploy a model to either a compute instance or a Notebook VM using the steps in this article.
-
 Learn how to use Azure Machine Learning to deploy a model as a web service on your Azure Machine Learning compute instance. Use compute instances if one of the following conditions is true:
 
 - You need to quickly deploy and validate your model.
diff --git a/articles/machine-learning/how-to-enable-virtual-network.md b/articles/machine-learning/how-to-enable-virtual-network.md
@@ -122,10 +122,6 @@ To use Azure Machine Learning experimentation capabilities with Azure Key Vault
 
 ## <a name="compute-instance"></a>Use a Machine Learning Compute
 
-> [!NOTE]
-> Compute instances (preview) are currently available only for workspaces with a region of **North Central US** or **UK South**, with support for other regions coming soon.
-> Use one of these regions to create a compute instance that can be added to virtual network.
-
 To use an Azure Machine Learning compute instance or compute cluster in a virtual network, the following network requirements must be met:
 
 > [!div class="checklist"]
diff --git a/articles/machine-learning/how-to-set-up-vs-code-remote.md b/articles/machine-learning/how-to-set-up-vs-code-remote.md
@@ -16,9 +16,6 @@ ms.date: 12/09/2019
 
 In this article, you'll learn how to set up Visual Studio Code Remote on an Azure Machine Learning Compute Instance so you can **interactively debug your code** from VS Code. 
 
-> [!NOTE]
-> Compute instances are available only for workspaces with a region of **North Central US**, **East US 2**, **North Europe** or **UK South**, with support for other regions coming soon.
-
 + An [Azure Machine Learning Compute Instance](concept-compute-instance.md) is a fully managed cloud-based workstation for data scientists and provides management and enterprise readiness capabilities for IT administrators. 
 
 
diff --git a/articles/machine-learning/tutorial-1st-experiment-sdk-setup.md b/articles/machine-learning/tutorial-1st-experiment-sdk-setup.md
@@ -95,10 +95,6 @@ You complete the following experiment set-up and run steps in Azure Machine Lear
 
 If you have custom widgets or prefer using Jupyter/JupyterLab select the **Jupyter** drop down on the far right, then select **Jupyter** or **JupyterLab**. The new browser window will be opened.
 
-> [!NOTE]
-> Compute instances (preview) are currently available only for workspaces with a region of **North Central US**, **East US 2**, **North Europe** or **UK South**, with support for other regions coming soon.
->If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead.  You can use either a Notebook VM or a compute instance to run your notebook. A VM will continue running and incurring cost unless you stop it. You can stop it manually from the **Compute** tab in the Studio, or see the [blog post](https://techcommunity.microsoft.com/t5/educator-developer-blog/azure-virtual-machine-auto-shutdown/ba-p/379342) on enabling scheduled automatic shutdown for Azure VMs.
-
 ## Next steps
 
 In this tutorial, you completed these tasks:
