fix

Signed-off-by: wbc6080 <[email protected]>

Author: wbc6080

docs/advanced/gpu.md

@@ -6,13 +6,13 @@ sidebar_position: 5
 ## Abstract
 
 With the development of edge AI, the demand for deploying GPU applications on edge nodes is gradually increasing. Currently, KubeEdge can manage GPU nodes through some configurations, 
-and allocate GPU resources to user edge applications through the k8s device-plugin component. If you need to use this feature, please refer to the steps below.
+and allocate Nvidia GPU resources to user edge applications through the k8s device-plugin component. If you need to use this feature, please refer to the steps below.
 
 ## Getting Started
 
 ### GPU running environment construction
 
-Using GPU on edge nodes requires building a GPU operating environment first, which mainly includes the following steps:
+Using Nvidia GPU on edge nodes requires building a GPU operating environment first, which mainly includes the following steps:
 
 1. Install GPU driver
 
@@ -35,16 +35,16 @@ Since KubeEdge v1.14, support for Dockershim has been removed, and use Docker ru
   and transfer the installation package to the edge node to complete decompression. After decompression, the following files should appear in the directory:
 
 ```shell
-   root@edgenode:~/release-v1.16.0-rc.1-experimental/packages/ubuntu18.04/amd64# ls
-   libnvidia-container1_1.16.0~rc.1-1_amd64.deb      libnvidia-container-tools_1.16.0~rc.1-1_amd64.deb      nvidia-container-toolkit-operator-extensions_1.16.0~rc.1-1_amd64.deb
-   libnvidia-container1-dbg_1.16.0~rc.1-1_amd64.deb  nvidia-container-toolkit_1.16.0~rc.1-1_amd64.deb
-   libnvidia-container-dev_1.16.0~rc.1-1_amd64.deb   nvidia-container-toolkit-base_1.16.0~rc.1-1_amd64.deb
+root@edgenode:~/release-v1.16.0-rc.1-experimental/packages/ubuntu18.04/amd64# ls
+libnvidia-container1_1.16.0~rc.1-1_amd64.deb      libnvidia-container-tools_1.16.0~rc.1-1_amd64.deb      nvidia-container-toolkit-operator-extensions_1.16.0~rc.1-1_amd64.deb
+libnvidia-container1-dbg_1.16.0~rc.1-1_amd64.deb  nvidia-container-toolkit_1.16.0~rc.1-1_amd64.deb
+libnvidia-container-dev_1.16.0~rc.1-1_amd64.deb   nvidia-container-toolkit-base_1.16.0~rc.1-1_amd64.deb
 ```
 
 Execute the following command in this directory to complete the installation:
 
 ```shell
-   sudo apt install ./*
+sudo apt install ./*
 ```
 
 4. Configure container runtime to support GPU
@@ -85,7 +85,7 @@ Through the above steps, the edge node already has a GPU driver, and the contain
 
 ### Edge GPU node management
 
-Hosting edge GPU nodes mainly includes the following steps:
+Hosting edge Nvidia GPU nodes mainly includes the following steps:
 
 1. Manage the node to the cluster