Added supported VM series section

Author: brendalee

articles/machine-learning/concept-compute-target.md

@@ -40,7 +40,7 @@ The following compute resources can be used to host your model deployment.
 Learn [where and how to deploy your model to a compute target](how-to-deploy-and-where.md).
 
 <a name="amlcompute"></a>
-## Azure Machine Learning compute (managed)
+## Azure Machine Learning Compute (Managed)
 
 A managed compute resource is created and managed by Azure Machine Learning. This compute is optimized for machine learning workloads. Azure Machine Learning compute clusters and [compute instances](concept-compute-instance.md) are the only managed computes. Additional managed compute resources may be added in the future.
 
@@ -53,18 +53,43 @@ You can create Azure Machine Learning compute instances (preview) or compute clu
 
 You can also create compute clusters using the [machine learning extension for the Azure CLI](tutorial-train-deploy-model-cli.md#create-the-compute-target-for-training).
 
-When created these compute resources are automatically part of your workspace unlike other kinds of compute targets.
+When created these compute resources are automatically part of your workspace, unlike other kinds of compute targets.
 
 ### Compute clusters
 
 You can use Azure Machine Learning compute clusters for training and for batch inferencing (preview).  With this compute resource, you have:
 
 * Single- or multi-node cluster
-* Autoscales each time you submit a run 
+* Autoscaling each time you submit a run 
 * Automatic cluster management and job scheduling 
 * Support for both CPU and GPU resources
 
+### Supported VM series and sizes
 
+When you select a node size for a managed compute resource in Azure Machine Learning, you can choose from among select VM sizes available in Azure. Azure offers a range of sizes for Linux and Windows for different workloads. To learn more about the different VM types and sizes, refer [here](https://docs.microsoft.com/en-us/azure/virtual-machines/linux/sizes).
+
+There are a few exceptions and limitations to choosing a VM size:
+* Some VM series are not supported in Azure Machine Learning.
+* Some VM series are restricted and need to be specifically enabled before they can be allocated.
+
+See the following table to learn more about supported series and restrictions. 
+
+| Supported VM series  | 
+|------------|
+| D |  
+| Dv2 |  
+| DSv2 |  
+| FSv2 |  
+| NC |  
+| NV |  
+| NCsv2 |  
+| NCsv3 |  
+| NDs |  
+| NDv2 |  
+| NVv3 |  
+| FSv2 |  
+
+Note that while Azure Machine Learning supports these VM series, they may not be available in all Azure regions. You can check with VM series are available here: [Products Available by Region](https://azure.microsoft.com/en-us/global-infrastructure/services/?products=virtual-machines).
 
 ## Unmanaged compute
 
@@ -74,4 +99,4 @@ An unmanaged compute target is *not* managed by Azure Machine Learning. You crea
 
 Learn how to:
 * [Set up a compute target to train your model](how-to-set-up-training-targets.md)
-* [Deploy your model to a compute target](how-to-deploy-and-where.md)
+* [Deploy your model to a compute target](how-to-deploy-and-where.md)