docs: enhance installation instructions for CUDA support in README files

README.md

@@ -502,7 +502,11 @@ cd MinerU
 uv pip install -e .[core]
 ```
 
-#### 1.3 Install the Full Version (Supports sglang Acceleration)
+> [!TIP]  
+> Linux and macOS systems automatically support CUDA/MPS acceleration after installation. For Windows users who want to use CUDA acceleration, 
+> please visit the [PyTorch official website](https://pytorch.org/get-started/locally/) to install PyTorch with the appropriate CUDA version.
+
+#### 1.3 Install Full Version (supports sglang acceleration) (requires device with Ampere or newer architecture and at least 24GB GPU memory)
 
 If you need to use **sglang to accelerate VLM model inference**, you can choose any of the following methods to install the full version:
 

README_zh-CN.md

@@ -492,7 +492,11 @@ cd MinerU
 uv pip install -e .[core] -i https://mirrors.aliyun.com/pypi/simple
 ```
 
-#### 1.3 安装完整版（支持 sglang 加速）
+> [!TIP]
+> Linux和macOS系统安装后自动支持cuda/mps加速，Windows用户如需使用cuda加速，请前往 [Pytorch官网](https://pytorch.org/get-started/locally/)
+> 选择合适的cuda版本安装pytorch。
+
+#### 1.3 安装完整版（支持 sglang 加速）（需确保设备有Ampere及以后架构，24G显存及以上显卡）
 
 如需使用 **sglang 加速 VLM 模型推理**，请选择合适的方式安装完整版本：