diff --git a/README.md b/README.md
index 6d4610f..54ba0ed 100644
--- a/README.md
+++ b/README.md
@@ -70,7 +70,14 @@ git submodule update
 
 xmake b -vy crossdesk
 ```
+编译选项
+```
+--USE_CUDA=true/false: 启用 CUDA 硬件编解码，默认不启用
+--CROSSDESK_VERSION=xxx: 指定 CrossDesk 的版本
 
+# 示例
+xmake f --CROSSDESK_VERSION=1.0.0 --USE_CUDA=true
+```
 运行
 ```
 xmake r crossdesk
@@ -78,13 +85,14 @@ xmake r crossdesk
 
 ### 无 CUDA 环境下的开发支持
 
-对于**未安装 CUDA 环境的 Linux 开发者**，这里提供了预配置的 [Ubuntu 22.04 Docker 镜像](https://hub.docker.com/r/crossdesk/ubuntu22.04)。该镜像内置必要的构建依赖，可在容器中开箱即用，无需额外配置即可直接编译项目。
+对于**未安装 CUDA 环境的 Linux 开发者，如果希望编译后的成果物拥有硬件编解码能力**，这里提供了预配置的 [Ubuntu 22.04 Docker 镜像](https://hub.docker.com/r/crossdesk/ubuntu22.04)。该镜像内置必要的构建依赖，可在容器中开箱即用，无需额外配置即可直接编译项目。
 
 进入容器，下载工程后执行：
 ```
 export CUDA_PATH=/usr/local/cuda
 export XMAKE_GLOBALDIR=/data
 
+xmake f --USE_CUDA=true
 xmake b --root -vy crossdesk
 ```
 
@@ -106,6 +114,7 @@ set CUDA_PATH=path_to_cuda_installdir
 ```
 重新执行：
 ```
+xmake f --USE_CUDA=true
 xmake b -vy crossdesk
 ```
 
diff --git a/README_EN.md b/README_EN.md
index befb4e8..6724d7a 100644
--- a/README_EN.md
+++ b/README_EN.md
@@ -73,7 +73,14 @@ git submodule update
 
 xmake b -vy crossdesk
 ```
+Build options:
+```
+--USE_CUDA=true/false: enable CUDA acceleration codec, default: false
+--CROSSDESK_VERSION=xxx: set the version number
 
+# example:
+xmake f --CROSSDESK_VERSION=1.0.0 --USE_CUDA=true
+```
 Run:
 ```
 xmake r crossdesk
@@ -81,7 +88,7 @@ xmake r crossdesk
 
 #### Development Without CUDA Environment
 
-For **Linux developers who do not have a CUDA environment** installed, a preconfigured [Ubuntu 22.04 Docker image](https://hub.docker.com/r/crossdesk/ubuntu22.04) is provided.  
+For **Linux developers who do not have a CUDA environment installed and want to enable hardware codec feature**, a preconfigured [Ubuntu 22.04 Docker image](https://hub.docker.com/r/crossdesk/ubuntu22.04) is provided.  
 This image comes with all required build dependencies and allows you to build the project directly inside the container without any additional setup.
 
 After entering the container, download the project and run:
@@ -89,6 +96,7 @@ After entering the container, download the project and run:
 export CUDA_PATH=/usr/local/cuda
 export XMAKE_GLOBALDIR=/data
 
+xmake f --USE_CUDA=true
 xmake b --root -vy crossdesk
 ```
 
@@ -111,6 +119,7 @@ set CUDA_PATH=path_to_cuda_installdir:
 ```
 Then re-run:
 ```
+xmake f --USE_CUDA=true
 xmake b -vy crossdesk
 ```