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gqjia

23 Nov 2023

Centos/ubuntu安装显卡驱动

安装NV驱动

网址：https://www.nvidia.com/DOWNLOAD/Find.aspx?lang=en-us

  1. wget 驱动

  2. 然后 chmod +x <下载好的.run文件>

  3. ./<下载好的.run文件>

  4. 如果出现了”Unable to find the kernel source tree for the currently running kernel.“报错则运行

     sudo yum install kernel-devel

  5. 执行该命令打开persistant mode（每次服务器重启都要运行该命令）

     nvidia-persistenced --persistence-mode

可能遇到的问题

close X Server

sudo service lightdm stop
sudo service gdm stop
sudo service kdm stop

How to disable Nouveau kernel driver

sudo vim /etc/modprobe.d/blacklist-nouveau.conf

输入内容：

blacklist nouveau
options nouveau modeset=0

sudo update-initramfs -u
sudo reboot

gcc

sudo apt install build-essential
sudo apt-get install manpages-dev
gcc --version

安装docker

Centos安装docker

  1. 依次执行命令(https://docs.docker.com/engine/install/centos/)

     sudo yum install -y yum-utils
 sudo yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo
 sudo yum install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

  2. docker移动安装目录到挂载的大硬盘下（必须要做）

     systemctl stop docker # 停掉docker服务
 mv /var/lib/docker /data/docker # 转移docker安装目录
 ln -s /data/docker /var/lib/docker # 软链

ubuntu 安装docker

https://docs.docker.com/engine/install/ubuntu/

  1. Set up the repository
sudo apt-get update
sudo apt-get install ca-certificates curl gnupg

sudo install -m 0755 -d /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
sudo chmod a+r /etc/apt/keyrings/docker.gpg

echo \
  "deb [arch="$(dpkg --print-architecture)" signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
  "$(. /etc/os-release && echo "$VERSION_CODENAME")" stable" | \
  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
  1. Install Docker Engine
sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

sudo docker run hello-world

异常处理

root@midu-System-Product-Name:/home/midu/Downloads# apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
正在读取软件包列表... 完成
正在分析软件包的依赖关系树... 完成
正在读取状态信息... 完成
没有可用的软件包 docker-ce，但是它被其它的软件包引用了。
这可能意味着这个缺失的软件包可能已被废弃，
或者只能在其他发布源中找到

E: 软件包 docker-ce 没有可安装候选
E: 无法定位软件包 docker-ce-cli
E: 无法定位软件包 containerd.io
E: 无法按照 glob ‘containerd.io’ 找到任何软件包
E: 无法按照正则表达式 containerd.io 找到任何软件包
E: 无法定位软件包 docker-buildx-plugin
E: 无法定位软件包 docker-compose-plugin

需要更新apt-get：

sudo apt-get update

安装nvidia-docker2

Centos安装nvidia-docker2

  1. 依次执行下面的命令

     distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
 && curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.repo | sudo tee /etc/yum.repos.d/nvidia-docker.repo
    
 sudo yum clean expire-cache
    
 sudo yum install -y nvidia-docker2

  2. 更新/etc/docker/daemon.json⽂件

     {
     "registry-mirrors": [
         "https://registry.docker-cn.com",
         "https://docker.mirrors.ustc.edu.cn",
         "http://hub-mirror.c.163.com"
     ],
     "insecure-registries": [
         "harbor.miduchina.com",
         "harbor-nh.miduchina.com"
     ],
     "bip":"192.51.0.1/16",
     "log-driver":"json-file",
     "log-opts": {"max-size":"500m", "max-file":"2"},
     "runtimes": {
         "nvidia": {
             "path": "nvidia-container-runtime",
             "runtimeArgs": []
         }
     }
 }

  3. 启动docker服务

     systemctl start docker

ubuntu安装nvidia-docker2

  1. 安装
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
  sudo apt-key add -
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
  sudo tee /etc/apt/sources.list.d/nvidia-docker.list

sudo apt-get update

sudo apt-get install -y nvidia-docker2
sudo pkill -SIGHUP dockerd

sudo apt-get remove nvidia -384 ; sudo apt-get install nvidia-384

  1. 更新/etc/docker/daemon.json⽂件

     {
     "registry-mirrors": [
         "https://registry.docker-cn.com",
         "https://docker.mirrors.ustc.edu.cn",
         "http://hub-mirror.c.163.com"
     ],
     "insecure-registries": [
         "harbor.miduchina.com",
         "harbor-nh.miduchina.com"
     ],
     "bip":"192.51.0.1/16",
     "log-driver":"json-file",
     "log-opts": {"max-size":"500m", "max-file":"2"},
     "runtimes": {
         "nvidia": {
             "path": "nvidia-container-runtime",
             "runtimeArgs": []
         }
     }
 }

  2. 启动docker服务

     systemctl start docker

测试

docker run --rm --runtime=nvidia --gpus all nvidia/cuda:11.6.2-base-ubuntu20.04 nvidia-smi

Til next time,
gqjia at 00:00

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