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## 因清华大学开源镜像站 HTTP/403 换了中科大的镜像站 ## RTX 4090 笔电操作记录
```
cat /etc/apt/sources.list
```
## 安装了英伟达显卡驱动 - 因清华大学开源镜像站 HTTP/403 换了中科大的镜像站
- 安装了英伟达显卡驱动、CUDA Toolkit
-
```shell ```shell
# 中科大镜像站地址配置存放在这里
cat /etc/apt/sources.list
# 安装显卡驱动和CUDA
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/cuda-keyring_1.1-1_all.deb wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt-get update sudo apt-get update
sudo apt-get -y install cuda-toolkit-12-8 sudo apt-get -y install cuda-toolkit-12-8
sudo apt-get install -y cuda-drivers sudo apt-get install -y cuda-drivers
```
```shell
nvidia-smi nvidia-smi
```
## 安装了CUDA Toolkit
```
apt install nvidia-cuda-toolkit apt install nvidia-cuda-toolkit
```
```shell
nvcc -V nvcc -V
``` # 用 conda 创建了一个 python=3.12 的环境
## 用 conda 创建了一个 python=3.12 的环境
```
conda create -n vllm-py12 python=3.12 -y conda create -n vllm-py12 python=3.12 -y
```
```
conda activate vllm-py12 conda activate vllm-py12
```
```
pip install vllm --extra-index-url https://download.pytorch.org/whl/cu128 pip install vllm --extra-index-url https://download.pytorch.org/whl/cu128
``` ```