Merge pull request #113526 from PeterCLu/plu-add-aci-compute

Document ACI support for designer training

Author: PRMerger17

articles/machine-learning/concept-designer.md

@@ -87,6 +87,7 @@ Use compute resources from your workspace to run your pipeline and host your dep
 | Compute target | Training | Deployment |
 | ---- |:----:|:----:|
 | Azure Machine Learning compute | ✓ | |
+| Azure Machine Learning compute instance | ✓ | |
 | Azure Kubernetes Service | | ✓ |
 
 Compute targets are attached to your [Azure Machine Learning workspace](concept-workspace.md). You manage your compute targets in your workspace in [Azure Machine Learning Studio (classic)](https://ml.azure.com).

articles/machine-learning/tutorial-designer-automobile-price-train-score.md

@@ -72,7 +72,7 @@ You can set a **Default compute target** for the entire pipeline, which will tel
     If you already have an available compute target, you can select it to run this pipeline.
 
     > [!NOTE]
-    > The designer can run experiments only on Azure Machine Learning Compute targets. Other compute targets won't be shown.
+    > The designer can only run training experiments on Azure Machine Learning Compute and Azure Machine Learning compute instance targets. Other compute targets won't be shown.
 
 1. Enter a name for the compute resource.
 

includes/aml-compute-target-train.md

@@ -16,6 +16,7 @@ ms.date: 12/04/2019
 |----|:----:|:----:|:----:|
 |[Local computer](../articles/machine-learning/how-to-set-up-training-targets.md#local)| yes |   |   |
 |[Azure Machine Learning compute cluster](../articles/machine-learning/how-to-set-up-training-targets.md#amlcompute)| yes & <br/>hyperparameter&nbsp;tuning | yes | yes |
+|[Azure Machine Learning compute instance](../articles/machine-learning/concept-compute-instance.md) | yes & <br/>hyperparameter tuning | yes | yes |
 |[Remote VM](../articles/machine-learning/how-to-set-up-training-targets.md#vm) | yes & <br/>hyperparameter tuning | yes | &nbsp; |
 |[Azure&nbsp;Databricks](../articles/machine-learning/how-to-create-your-first-pipeline.md#databricks)| yes (SDK local mode only) | yes | &nbsp; |
 |[Azure Data Lake Analytics](../articles/machine-learning/how-to-create-your-first-pipeline.md#adla) | &nbsp; | yes | &nbsp; |