Ubuntu20.04 安装英伟达驱动

程序之巅 2024-09-14 08:07:01 阅读 57

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:

<code>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 26 14:02:18 2024

+---------------------------------------------------------------------------------------+code>

| 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 |

+---------------------------------------------------------------------------------------+



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