Merge pull request #97836 from sdgilley/sdg-master

clarify usage scenarios in Compute targets concept

Author: Jak-MS

includes/aml-compute-target-train.md

@@ -8,16 +8,16 @@ ms.author: sgilley
 manager: cgronlund
 ms.custom: "include file"
 ms.topic: "include"
-ms.date: 05/30/2019
+ms.date: 12/04/2019
 ---
-**Compute targets can be reused from one training job to the next**. For example, once you attach a remote VM to your workspace, you can reuse it for multiple jobs.
+**Compute targets can be reused from one training job to the next**. For example, once you attach a remote VM to your workspace, you can reuse it for multiple jobs.  For machine learning pipelines, use the appropriate [pipeline step](https://docs.microsoft.com/python/api/azureml-pipeline-steps/azureml.pipeline.steps?view=azure-ml-py) for each compute target.
 
-|Training  targets| GPU support |[Automated ML](../articles/machine-learning/service/concept-automated-ml.md) | [ML pipelines](../articles/machine-learning/service/concept-ml-pipelines.md) | [Azure Machine Learning designer](../articles/machine-learning/service/concept-designer.md)
-|----|:----:|:----:|:----:|:----:|
-|[Local computer](../articles/machine-learning/service/how-to-set-up-training-targets.md#local)| maybe | yes |   |   |
-|[Azure Machine Learning compute cluster](../articles/machine-learning/service/how-to-set-up-training-targets.md#amlcompute)| yes | yes & <br/>hyperparameter&nbsp;tuning | yes | yes |
-|[Remote VM](../articles/machine-learning/service/how-to-set-up-training-targets.md#vm) |yes | yes & <br/>hyperparameter tuning | yes | &nbsp; |
-|[Azure&nbsp;Databricks](../articles/machine-learning/service/how-to-create-your-first-pipeline.md#databricks)| &nbsp; | yes | yes | &nbsp; |
-|[Azure Data Lake Analytics](../articles/machine-learning/service/how-to-create-your-first-pipeline.md#adla)| &nbsp; | &nbsp; | yes | &nbsp; |
-|[Azure HDInsight](../articles/machine-learning/service/how-to-set-up-training-targets.md#hdinsight)| &nbsp; | &nbsp; | yes | &nbsp; |
-|[Azure Batch](../articles/machine-learning/service/how-to-set-up-training-targets.md#azbatch)| &nbsp; | &nbsp; | yes | &nbsp; |
+|Training &nbsp;targets|[Automated ML](../articles/machine-learning/service/concept-automated-ml.md) | [ML pipelines](../articles/machine-learning/service/concept-ml-pipelines.md) | [Azure Machine Learning designer](../articles/machine-learning/service/concept-designer.md)
+|----|:----:|:----:|:----:|
+|[Local computer](../articles/machine-learning/service/how-to-set-up-training-targets.md#local)| yes | &nbsp; | &nbsp; |
+|[Azure Machine Learning compute cluster](../articles/machine-learning/service/how-to-set-up-training-targets.md#amlcompute)| yes & <br/>hyperparameter&nbsp;tuning | yes | yes |
+|[Remote VM](../articles/machine-learning/service/how-to-set-up-training-targets.md#vm) | yes & <br/>hyperparameter tuning | yes | &nbsp; |
+|[Azure&nbsp;Databricks](../articles/machine-learning/service/how-to-create-your-first-pipeline.md#databricks)| yes | yes | &nbsp; |
+|[Azure Data Lake Analytics](../articles/machine-learning/service/how-to-create-your-first-pipeline.md#adla) | &nbsp; | yes | &nbsp; |
+|[Azure HDInsight](../articles/machine-learning/service/how-to-set-up-training-targets.md#hdinsight) | &nbsp; | yes | &nbsp; |
+|[Azure Batch](../articles/machine-learning/service/how-to-set-up-training-targets.md#azbatch) | &nbsp; | yes | &nbsp; |