Merge pull request #49508 from j-martens/patch-4

Fixes https://github.com/MicrosoftDocs/azure-docs/issues/12267

Author: PRMerger7

articles/machine-learning/desktop-workbench/how-to-use-gpu.md

@@ -19,7 +19,7 @@ Graphical Processing Unit (GPU) is widely used to process computationally intens
 - To step through this how-to guide, you need to first [install Azure ML Workbench](../service/quickstart-installation.md).
 - You need to have access to computers equipped with NVidia GPUs.
     - You can run your scripts directly on local machine (Windows or macOS) with GPUs.
-    - You can also run scripts in a Docker container on a machine with GPUs.
+    - You can also run scripts in a Docker container on a Linux machine with GPUs..
 
 ## Execute in _local_ Environment with GPUs
 You can install Azure ML Workbench on a computer equipped with GPUs and execute against _local_ environment. This can be: