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--- a/GPU/Kubernetes-NVIDIA之阿里云插件Gpushare-Device-Plugin.md
+++ b/GPU/Kubernetes-NVIDIA之阿里云插件Gpushare-Device-Plugin.md
@@ -0,0 +1,122 @@
+> 本文作者：丁辉
+
+# Kubernetes-NVIDIA之阿里云插件Gpushare-Device-Plugin
+
+[Github-gpushare-scheduler-extender](https://github.com/AliyunContainerService/gpushare-scheduler-extender/tree/master)
+
+[Github-gpushare-device-plugin](https://github.com/AliyunContainerService/gpushare-device-plugin)
+
+##  部署 
+
+1. 拉取 Gpushare-Scheduler-Extender 代码文件
+
+   ```bash
+   git clone https://github.com/AliyunContainerService/gpushare-scheduler-extender.git
+   cd gpushare-scheduler-extender/config/ && vi gpushare-schd-extender.yaml
+   ```
+
+   > 因为源文件的调度规则是指运行在 master 节点上，如果像我一样集群内并没有这个标签的话则需要修改 `gpushare-schd-extender.yaml` YAML文件将下面这段 nodeSelector 删除掉或注释。
+   >
+   > ```bash
+   > #nodeSelector:
+   >   #node-role.kubernetes.io/master: ""
+   > ```
+
+2. 部署扩展器
+
+   ```bash
+   kubectl apply -f gpushare-schd-extender.yaml
+   ```
+
+3. 编写调度器配置文件
+
+   ```bash
+   mv scheduler-policy-config.yaml /etc/kubernetes/scheduler-policy-config.yaml
+   vi /etc/kubernetes/scheduler-policy-config.yaml
+   ```
+
+   > 根据自己 Scheduler 配置文件位置修改 `kubeconfig`  字段参数
+   >
+
+4. 添加 Scheduler 启动参数
+
+   - 新版
+
+     ```bash
+     - --config=/etc/kubernetes/scheduler-policy-config.yaml
+     ```
+     
+   - 老版本集群
+
+     ```bash
+     - --policy-config-file: /etc/kubernetes/scheduler-policy-config.json
+     ```
+
+5. 给 GPU 节点打上标签
+
+   ```bash
+   kubectl label node ${node} gpushare=true
+   ```
+
+6. 拉取 Gpushare-Device-Plugin 代码文件
+
+   ```bash
+   git clone https://github.com/AliyunContainerService/gpushare-device-plugin.git
+   cd gpushare-device-plugin
+   ```
+
+7. 部署
+
+   ```bash
+   kubectl apply -f device-plugin-rbac.yaml
+   kubectl apply -f  device-plugin-ds.yaml
+   ```
+
+   > 根据自己需求判断是否修改 `device-plugin-ds.yaml` 文件内默认 GPU 资源申请单位,  `MiB` 还是 `GiB`
+   >
+   > ```bash
+   > command:
+   >   - gpushare-device-plugin-v2
+   >   - -logtostderr
+   >   - --v=5
+   >   - --memory-unit=MiB
+   > ```
+
+8. 安装 kubectl GPU 插件
+
+   [插件下载](https://github.com/AliyunContainerService/gpushare-device-plugin/releases/)
+
+   ```bash
+   wget https://github.com/AliyunContainerService/gpushare-device-plugin/releases/download/v0.3.0/kubectl-inspect-gpushare
+   ```
+
+   ```bash
+   mkdir ~/.kube/plugins -p
+   mv kubectl-inspect-gpushare ~/.kube/plugins/ && chmod 777 ~/.kube/plugins/kubectl-inspect-gpushare
+   ```
+
+9. 查看 GPU 使用情况
+
+   ```bash
+   kubectl inspect gpushare
+   ```
+
+## 测试
+
+1. 部署容器测试
+
+   ```bash
+   kubectl apply -f https://gitee.com/offends/Kubernetes/raw/main/File/Yaml/aliyun-gpu-pod.yaml
+   ```
+
+2. 测试
+
+   ```bash
+   kubectl exec nginx-pod nvidia-smi
+   ```
+
+3. 删除测试容器
+
+   ```bash
+   kubectl delete pod gpu-pod
+   ```
--- a/GPU/README.md
+++ b/GPU/README.md
@@ -0,0 +1,10 @@
+> 本文作者：丁辉
+
+# GPU的使用
+
+> 相关文档地址
+
+- [Linux下载并安装GPU驱动](https://gitee.com/offends/Linux/blob/main/Docs/Linux%E4%B8%8B%E8%BD%BD%E5%B9%B6%E5%AE%89%E8%A3%85GPU%E9%A9%B1%E5%8A%A8.md)
+- [GPU容器化基础环境准备](https://gitee.com/offends/Kubernetes/blob/main/Docker/Docs/Docker%E4%BD%BF%E7%94%A8GPU.md)
+- [Helm部署NVIDIA-K8s-Device-Plugin插件](https://gitee.com/offends/Kubernetes/blob/main/Helm/Helm%E9%83%A8%E7%BD%B2NVIDIA-K8s-Device-Plugin.md)
+- [Kubernetes-NVIDIA之阿里云插件Gpushare-Device-Plugin](https://gitee.com/offends/Kubernetes/blob/main/GPU/Kubernetes-NVIDIA%E4%B9%8B%E9%98%BF%E9%87%8C%E4%BA%91%E6%8F%92%E4%BB%B6Gpushare-Device-Plugin.md)