宿主机 装置 driver

# 禁用宿主机 自带 显卡 驱动lsmod | grep nouveau  nouveau              1949696  0  mxm_wmi                16384  1 nouveau  wmi                    32768  2 mxm_wmi,nouveau  video                  49152  1 nouveau  i2c_algo_bit           16384  1 nouveau  ttm                   106496  2 qxl,nouveau  drm_kms_helper        184320  4 qxl,nouveau  drm                   491520  5 drm_kms_helper,qxl,ttm,nouveau# 首先金庸 nouveanvi /etc/modprobe.d/blacklist.conf# 在最初一行增加：blacklist nouveaumodprobe_path='/etc/modprobe.d/blacklist.conf'sed -i "s/blacklist nouveau//g" ${modprobe_path}echo -e '\nblacklist nouveau' >>  ${modprobe_path}sudo update-initramfs -u# 敞开图形界面systemctl set-default multi-user.targetrebootlsmod | grep nouveau# 无输入 代表胜利echo "nameserver 114.114.114.114" > /etc/resolv.confsudo sed -i "s@http.*archive.ubuntu.com@http://repo.huaweicloud.com@g" /etc/apt/sources.listsudo sed -i "s@http.*security.ubuntu.com@http://repo.huaweicloud.com@g" /etc/apt/sources.listapt update -ysudo apt-get remove nvidia*  -yapt autoremove -yapt install nvidia-driver-460-server -yapt install nvidia-cuda-toolkit -y# 敞开图形界面systemctl set-default multi-user.targetdistribution=$(. /etc/os-release;echo $ID$VERSION_ID) \   && curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \   && curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.listsudo apt-get update -ysudo apt-get install -y nvidia-docker2sudo systemctl restart dockersudo systemctl enable docker

测试 nvidia-smi 驱动

# 国内sudo docker run --rm --gpus all registry.cn-hangzhou.aliyuncs.com/mkmk/all:nvidia-cuda-11-base nvidia-smiThu Apr  8 16:52:50 2021       +-----------------------------------------------------------------------------+| NVIDIA-SMI 460.32.03    Driver Version: 460.32.03    CUDA Version: 11.2     ||-------------------------------+----------------------+----------------------+| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC || Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. ||                               |                      |               MIG M. ||===============================+======================+======================||   0  GeForce GT 730      Off  | 00000000:00:03.0 N/A |                  N/A || 30%   30C    P0    N/A /  N/A |      0MiB /  2002MiB |     N/A      Default ||                               |                      |                  N/A |+-------------------------------+----------------------+----------------------+|   1  GeForce GT 730      Off  | 00000000:00:04.0 N/A |                  N/A || 30%   27C    P0    N/A /  N/A |      0MiB /  2002MiB |     N/A      Default ||                               |                      |                  N/A |+-------------------------------+----------------------+----------------------+                                                                               +-----------------------------------------------------------------------------+| Processes:                                                                  ||  GPU   GI   CI        PID   Type   Process name                  GPU Memory ||        ID   ID                                                   Usage      ||=============================================================================||  No running processes found                                                 |+-----------------------------------------------------------------------------+root@free_cicd:~# # 能够 先跳过 这个 步骤 间接   应用 gpu-burn 测试 gpu# 如果  提醒  不兼容  来给 驱动 降级echo "nameserver 114.114.114.114" > /etc/resolv.confwget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pinsudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600wget https://developer.download.nvidia.com/compute/cuda/11.1.1/local_installers/cuda-repo-ubuntu2004-11-1-local_11.1.1-455.32.00-1_amd64.debsudo dpkg -i cuda-repo-ubuntu2004-11-1-local_11.1.1-455.32.00-1_amd64.debsudo apt-key add /var/cuda-repo-ubuntu2004-11-1-local/7fa2af80.pubsudo apt-get updatesudo apt-get -y install cuda# 敞开图形界面systemctl set-default multi-user.targetreboot

应用 gpu-burn 测试 gpu

docker run -it  --gpus=all  registry.cn-hangzhou.aliyuncs.com/mkmk/all:gpu-burn-cuda11.1docker run -it  --gpus=all  registry.cn-hangzhou.aliyuncs.com/mkmk/all:gpu-burn-cuda11.1  "/app/gpu_burn"  "10"rm compare.ptxCOMPUTE=60 make

gub-burn 的 dockerfile

root@free_cicd:~/gpu-burn# cat Dockerfile FROM nvidia/cuda:11.1.1-devel AS builderWORKDIR /buildCOPY . /build/RUN makeFROM nvidia/cuda:11.1.1-runtimeCOPY --from=builder /build/gpu_burn /app/COPY --from=builder /build/compare.cu /app/WORKDIR /appCMD ["./gpu_burn", "60"]docker build . -t gpu-burn:cuda11.1 #  推送到 近程docker tag  gpu-burn:cuda11.1 registry.cn-hangzhou.aliyuncs.com/mkmk/all:gpu-burn-cuda11.1docker push registry.cn-hangzhou.aliyuncs.com/mkmk/all:gpu-burn-cuda11.1

须要 适合的 驱动

echo "nameserver 114.114.114.114" > /etc/resolv.confubuntu-drivers devices  Command 'ubuntu-drivers' not found, but can be installed with:apt install ubuntu-drivers-common -yubuntu-drivers devices  == /sys/devices/pci0000:00/0000:00:03.0 ==  modalias : pci:v000010DEd00001287sv00000000sd00000000bc03sc00i00  vendor   : NVIDIA Corporation  model    : GK208B [GeForce GT 730]  driver   : nvidia-driver-390 - distro non-free  driver   : nvidia-driver-460 - distro non-free recommendedsudo apt-get install -y nvidia-driver-460 libnvidia-gl-460 libnvidia-compute-460 libnvidia-extra-460 nvidia-compute-utils-460 libnvidia-decode-460 libnvidia-encode-460 nvidia-utils-460 xserver-xorg-video-nvidia-460 libnvidia-cfg1-460 libnvidia-ifr1-460systemctl set-default multi-user.targetrebootnvidia-smimake cleanmake CUDAPATH=/usr/local/cuda

来聊聊啊