[系统运维]Linux ubuntu 服务器部署详细教程

系统环境：ubuntu20.04

安装显卡驱动：

1. 驱动下载，我选择的是520.56.06
2. 禁用nouveau驱动

echo "blacklist nouveau">>/etc/modprobe.d/blacklist.conf
echo "options nouveau modeset=0">>/etc/modprobe.d/blacklist.conf
sudo update-initramfs -u

3. 重启按crtl+alt+f2键进入终端模式：安装以下依赖

sudo apt-get install -y gcc make build-essential

4. 安装驱动
   执行权限

sudo chmod a+x NVIDIA-Linux-x86_64-xxx.xx.run

运行

sudo ./NVIDIA-Linux-x86_64-xxx.xx.run  -no-x-check -no-nouveau-check -no-opengl-files

5. 安装过程选项
   默认既可，但要Secure Boot(安全启动)为Disabled 或者关闭

安装cuda与duann

1. cuda下载，我选择的是11.8

sudo ./cuda_xxx_linux.run

请注意取消选择安装驱动第一个x去掉，x代表选中
2. 配置cuda路径

sudo vim ~/.bashrc

添加如下内容

$ export PATH=/usr/local/cuda/bin${PATH:+:${PATH}}
$ export LD_LIBRARY_PATH=/usr/local/cuda/lib64\
                         ${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

source ~/.bashrc

3. cudnn安装，我选择的是Local Installer for Linux x86_64 (Tar)
   然后解压代码包：

tar -xf xx.archive.tar.xz

复制到对应文件夹下

sudo cp include/cudnn.h /usr/local/cuda/include
sudo cp lib/libcudnn* /usr/local/cuda/lib64
sudo chmod a+r /usr/local/cuda/include/cudnn.h 
sudo chmod a+r /usr/local/cuda/lib64/libcudnn*

安装docker-gpu

1. 安装docker

sudo apt-get remove docker docker-engine docker.io containerd runc
sudo apt-get update
sudo apt-get install \
    ca-certificates \
    curl \
    gnupg \
    lsb-release
sudo mkdir -p /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
echo \
  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
  $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt-get update
sudo chmod a+r /etc/apt/keyrings/docker.gpg
sudo apt-get update
sudo apt-get install docker-ce docker-ce-cli containerd.io docker-compose-plugin
sudo docker run hello-world

设置权限问题
报：Got permission denied while trying to connect to the Docker daemon socket at

sudo gpasswd -a nvidia docker
newgrp docker

2. 安装docker-gpu

curl https://get.docker.com | sh \
  && sudo systemctl --now enable docker
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
      && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
      && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | \
            sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
            sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list

sudo apt-get update
sudo apt-get install -y nvidia-docker2
sudo systemctl restart docker
sudo docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi

3. 设置私有仓库

vim /etc/docker/daemon.json

将以下内容写入

{
    "insecure-registries":["http://xx.xxx.xx.xx:xxxx"]
}

再次读入配置信息，并启动

sudo systemctl daemon-reload
sudo systemctl restart docker

安装ssh、ifconfig、vim常用工具

sudo apt install -y net-tools vim
sudo apt install -y --no-install-recommends openssh-server
service ssh start

参考文献

1. 显卡驱动：
   https://blog.csdn.net/weixin_42341590/article/details/109563412
2. cuda+cudnn
   https://blog.csdn.net/h3c4lenovo/article/details/119003405
3. docker gpu
   https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html
   https://docs.docker.com/engine/install/ubuntu/