update readme

README.md

@@ -35,6 +35,18 @@ We consider deploying deep learning inference service online to be a user-facing
 <h2 align="center">Installation</h2>
 
 We highly recommend you to run Paddle Serving in Docker, please visit [Run in Docker](https://github.com/PaddlePaddle/Serving/blob/develop/doc/RUN_IN_DOCKER.md)
+```
+# Run CPU Docker
+docker pull hub.baidubce.com/paddlepaddle/serving:0.2.0
+docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.2.0
+docker exec -it test bash
+```
+```
+# Run GPU Docker
+nvidia-docker pull hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu
+nvidia-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu
+nvidia-docker exec -it test bash
+```
 
 ```shell
 pip install paddle-serving-client 
@@ -42,7 +54,9 @@ pip install paddle-serving-server # CPU
 pip install paddle-serving-server-gpu # GPU
 ```
 
-You may need to use a domestic mirror source (in China, you can use the Tsinghua mirror source, add "-i https://pypi.tuna.tsinghua.edu.cn/simple" to pip command) to speed up the download. 
+You may need to use a domestic mirror source (in China, you can use the Tsinghua mirror source, add "-i https://pypi.tuna.tsinghua.edu.cn/simple" to pip command) to speed up the download.
+ 
+Client package support Centos 7 and Ubuntu 18, or you can use HTTP service without install client.
 
 <h2 align="center">Quick Start Example</h2>
 

README_CN.md

@@ -37,6 +37,18 @@ Paddle Serving 旨在帮助深度学习开发者轻易部署在线预测服务
 
 强烈建议您在Docker内构建Paddle Serving，请查看[如何在Docker中运行PaddleServing](doc/RUN_IN_DOCKER_CN.md)
 
+```
+# 启动 CPU Docker
+docker pull hub.baidubce.com/paddlepaddle/serving:0.2.0
+docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.2.0
+docker exec -it test bash
+```
+```
+# 启动 GPU Docker
+nvidia-docker pull hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu
+nvidia-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu
+nvidia-docker exec -it test bash
+```
 ```shell
 pip install paddle-serving-client
 pip install paddle-serving-server # CPU
@@ -45,6 +57,8 @@ pip install paddle-serving-server-gpu # GPU
 
 您可能需要使用国内镜像源（例如清华源, 在pip命令中添加"-i https://pypi.tuna.tsinghua.edu.cn/simple"）来加速下载。
 
+客户端安装包支持Centos 7和Ubuntu 18，或者您可以使用HTTP服务，这种情况下不需要安装客户端。
+
 <h2 align="center">快速启动示例</h2>
 
 <h3 align="center">波士顿房价预测</h3>