Ubuntu20.04 安装英伟达驱动

解决 NVIDIA 显卡驱动问题
你的系统检测到了 NVIDIA 显卡，但它目前没有被声明，也就是说可能没有正确安装驱动程序。你需要安装 NVIDIA 驱动程序来激活这块显卡。以下是安装步骤：

步骤 1：添加 NVIDIA 驱动 PPA
首先，确保你的系统软件包是最新的：

sudo apt update
sudo apt upgrade

然后，添加 NVIDIA 驱动程序的 PPA：

sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update

步骤 2：安装 NVIDIA 驱动程序
查找并安装推荐的驱动程序：

ubuntu-drivers devices

输出示例：

==/sys/devices/pci0000:c9/0000:c9:02.0/0000:ca:00.0==
modalias : pci:v000010DEd000020F5sv000010DEsd00001799bc03sc02i00
vendor   : NVIDIA Corporation
driver   : nvidia-driver-545- distro non-free
driver   : nvidia-driver-535- distro non-free recommended
driver   : nvidia-driver-535-open - distro non-free
driver   : nvidia-driver-535-server-open - distro non-free
driver   : nvidia-driver-545-open - distro non-free
driver   : nvidia-driver-535-server - distro non-free
driver   : xserver-xorg-video-nouveau - distro free builtin

根据推荐的驱动安装，例如上面的推荐是

driver   : nvidia-driver-535- distro non-free recommended

安装

sudo apt install nvidia-driver-535

步骤 3：重启系统
安装完成后，重启系统以使驱动生效

sudo reboot

步骤 4：验证驱动安装
重启后，使用 nvidia-smi 命令检查 NVIDIA 驱动是否正确安装并生效：

(base) jiahong@GPUsvr01:~$ nvidia-smi
Fri Jul 2614:02:182024+---------------------------------------------------------------------------------------+| NVIDIA-SMI 535.183.01             Driver Version:535.183.01   CUDA Version:12.2||-----------------------------------------+----------------------+----------------------+| 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  NVIDIA A800 80GB PCIe          Off |00000000:CA:00.0 Off |0|| N/A   57C    P0              81W /300W |34730MiB /81920MiB |2%      Default ||||             Disabled |+-----------------------------------------+----------------------+----------------------++---------------------------------------------------------------------------------------+| Processes:||  GPU   GI   CI        PID   Type   Process name                            GPU Memory ||        ID   ID                                                             Usage      ||=======================================================================================||0   N/A  N/A     86880      C   python                                    34718MiB |+---------------------------------------------------------------------------------------+