diff --git a/docs/installation/autoware/docker-installation.md b/docs/installation/autoware/docker-installation.md
index 308f8f56e11..74d3fef3c5a 100644
--- a/docs/installation/autoware/docker-installation.md
+++ b/docs/installation/autoware/docker-installation.md
@@ -41,16 +41,16 @@ You can use `run.sh` to run the Autoware runtime container with the map data:
 ./docker/run.sh --map-path path_to_map_data
 ```
 
-!!! info
-
-    You can use `--no-nvidia` to run without NVIDIA GPU support, and `--headless` to run without display that means no RViz visualization.
-
-For more launch options you can edit the launch command with `--launch-cmd` option:
+For more launch options, you can append a custom launch command instead of using the default launch command `ros2 launch autoware_launch autoware.launch.xml`:
 
 ```bash
-./docker/run.sh --map-path path_to_map_data --launch-cmd "ros2 launch autoware_launch autoware.launch.xml map_path:=/autoware_map vehicle_model:=sample_vehicle sensor_model:=sample_sensor_kit"
+./docker/run.sh --map-path path_to_map_data ros2 launch autoware_launch autoware.launch.xml map_path:=/autoware_map vehicle_model:=sample_vehicle sensor_model:=sample_sensor_kit
 ```
 
+!!! info
+
+    You can use `--no-nvidia` to run without NVIDIA GPU support, and `--headless` to run without display that means no RViz visualization.
+
 #### Run the Autoware tutorials
 
 Inside the container, you can run the Autoware tutorials by following these links:
@@ -113,11 +113,7 @@ Using the [Visual Studio Code](https://code.visualstudio.com/) with the [Remote
 Get the Visual Studio Code's [Remote - Containers](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers) extension.
 And reopen the workspace in the container by selecting `Remote-Containers: Reopen in Container` from the Command Palette (`F1`).
 
-By default, devcontainer assumes NVIDIA GPU support, you can change this by deleting these lines within `.devcontainer/devcontainer.json`:
-
-!!! warning
-
-    Under Construction
+You can choose Autoware or Autoware-cuda image to develop with or without CUDA support.
 
 ## Building Docker images from scratch