硬件安装
V100显卡坞>SFF 8654线>pcie转换卡>PCIE显卡坞>oculink>max2笔记本
驱动安装 - ubuntu
sudo apt install dkms
sudo apt purge "^nvidia-.*";sudo apt autoremove;sudo apt autoclean
sudo apt install nvidia-driver-580-server nvidia-dkms-580-server
sudo modprobe nvidia
(base) x99@x99:~$ dkms status
nvidia-srv/580.126.20, 6.17.0-22-generic, x86_64: installed
nvidia-srv/580.126.20, 6.17.0-23-generic, x86_64: installed驱动安装 - win
nvidia官方 582.16-data-center-tesla-desktop-win10-win11-64bit-dch-international.exe
硬件识别状态
(py312torch)PS C:\windows\system32> Get-PnpDevice -PresentOnly | Where-Object { ($_.HardwareID -match "VEN_10DE" -or $_.HardwareID -match "VEN_10B5") -and $_.FriendlyName -notmatch "Virtual|Display Adapter" } | Select-Object Status, Class, FriendlyName, HardwareID | Format-Table -AutoSize
Status Class FriendlyName HardwareID
------ ----- ------------ ----------
Error 基本系统设备 {PCI\VEN_10B5&DEV_87D0&SUBSYS_87D010B5&REV_CA, PCI\VEN_10B5&DEV_87D0&SUBSYS_87D010B5, PCI\VEN_10B5&DEV_87D0&CC_088000, PCI\VEN_10B5&DEV_87D0&CC_0880}
Error 基本系统设备 {PCI\VEN_10B5&DEV_87D0&SUBSYS_87D010B5&REV_CA, PCI\VEN_10B5&DEV_87D0&SUBSYS_87D010B5, PCI\VEN_10B5&DEV_87D0&CC_088000, PCI\VEN_10B5&DEV_87D0&CC_0880}
Error 基本系统设备 {PCI\VEN_10B5&DEV_87D0&SUBSYS_87D010B5&REV_CA, PCI\VEN_10B5&DEV_87D0&SUBSYS_87D010B5, PCI\VEN_10B5&DEV_87D0&CC_088000, PCI\VEN_10B5&DEV_87D0&CC_0880}
Error 基本系统设备 {PCI\VEN_10B5&DEV_87D0&SUBSYS_87D010B5&REV_CA, PCI\VEN_10B5&DEV_87D0&SUBSYS_87D010B5, PCI\VEN_10B5&DEV_87D0&CC_088000, PCI\VEN_10B5&DEV_87D0&CC_0880}
OK System PCI Express 上游交换机端口 {PCI\VEN_10B5&DEV_8749&SUBSYS_874910B5&REV_CA, PCI\VEN_10B5&DEV_8749&SUBSYS_874910B5, PCI\VEN_10B5&DEV_8749&CC_060400, PCI\VEN_10B5&DEV_8749&CC_0604}
OK System PCI Express 下游交换机端口 {PCI\VEN_10B5&DEV_8749&SUBSYS_874910B5&REV_CA, PCI\VEN_10B5&DEV_8749&SUBSYS_874910B5, PCI\VEN_10B5&DEV_8749&CC_060400, PCI\VEN_10B5&DEV_8749&CC_0604}
OK System PCI Express 下游交换机端口 {PCI\VEN_10B5&DEV_8749&SUBSYS_874910B5&REV_CA, PCI\VEN_10B5&DEV_8749&SUBSYS_874910B5, PCI\VEN_10B5&DEV_8749&CC_060400, PCI\VEN_10B5&DEV_8749&CC_0604}
OK Display NVIDIA Tesla V100-SXM2-16GB {PCI\VEN_10DE&DEV_1DB1&SUBSYS_121210DE&REV_A1, PCI\VEN_10DE&DEV_1DB1&SUBSYS_121210DE, PCI\VEN_10DE&DEV_1DB1&CC_030200, PCI\VEN_10DE&DEV_1DB1&CC_0302}
OK Display NVIDIA Tesla V100-SXM2-16GB {PCI\VEN_10DE&DEV_1DB1&SUBSYS_121210DE&REV_A1, PCI\VEN_10DE&DEV_1DB1&SUBSYS_121210DE, PCI\VEN_10DE&DEV_1DB1&CC_030200, PCI\VEN_10DE&DEV_1DB1&CC_0302}检测监控
- 显卡信息：nvidia-smi，nvidia-smi -l 1
- 显存ECC：nvidia-smi -q -d ECC
- 显卡资源：nvidia-smi dmon
- 实时监控：nvitop
算力应用
- torch运算
- lm studio运行大模型提供推理api
window重启后不识别问题修复
- 需要在重启之前，删除设备即可
- 硬件管理看不到，但是系统信息里还是有的
可以增加一个ps1脚本，加入到关机执行脚本里: gpedit.msc > 计算机配置-windows设置-脚本（启动/关机）>双击 关机，添加进去
# 请求管理员权限 if (-not ([Security.Principal.WindowsPrincipal][Security.Principal.WindowsIdentity]::GetCurrent()).IsInRole([Security.Principal.WindowsBuiltInRole]::Administrator)) { Start-Process PowerShell -ArgumentList "-NoProfile -ExecutionPolicy Bypass -File `"$PSCommandPath`"" -Verb RunAs exit } $device_name='NVIDIA Tesla V100-SXM2-16GB' $devices=Get-PnpDevice -friendlyname $device_name |select-object -Expandproperty InstanceId if (-not $devices) { Write-Host "没有找到显示适配器设备。" } # 删除设备 foreach ($device in $devices) { try { pnputil.exe /remove-device $device Write-Host "已删除设备: $($device.FriendlyName)" } catch { Write-Host "删除设备 $($device.FriendlyName) 失败: $_" -ForegroundColor Red } } Write-Host "操作完成。"
ubuntu移机后掉驱动修复
nvitop无法识别显卡
(base) x99@x99:~$ nvitop NVML ERROR: Driver Not Loaded硬件信息
(base) x99@x99:~$ lspci | grep -i nvidia 04:00.0 3D controller: NVIDIA Corporation GV100GL [Tesla V100 SXM2 16GB] (rev a1) 05:00.0 3D controller: NVIDIA Corporation GV100GL [Tesla V100 SXM2 16GB] (rev a1) (base) x99@x99:~$ sudo dmesg | grep -i nvrm (base) x99@x99:~$ sudo dmesg | grep -i pci [ 0.108386] [mem 0x7c000000-0xfed1bfff] available for PCI devices [ 0.382034] ACPI FADT declares the system doesn't support PCIe ASPM, so disable it [ 0.382034] acpiphp: ACPI Hot Plug PCI Controller Driver version: 0.5 [ 0.382180] PCI: ECAM [mem 0x80000000-0x8fffffff] (base 0x80000000) for domain 0000 [bus 00-ff] [ 0.382197] PCI: Using configuration type 1 for base access [ 0.499758] PCI: Using host bridge windows from ACPI; if necessary, use "pci=nocrs" and report a bug [ 0.499760] PCI: Ignoring E820 reservations for host bridge windows [ 0.557095] ACPI: PCI Root Bridge [UNC0] (domain 0000 [bus ff]) [ 0.561513] acpi PNP0A03:03: _OSC: OS now controls [PCIeHotplug PME AER PCIeCapability] [ 0.561578] PCI host bridge to bus 0000:ff [ 0.561582] pci_bus 0000:ff: root bus resource [bus ff] (base) x99@x99:~$ sudo modprobe nvidia modprobe: FATAL: Module nvidia not found in directory /lib/modules/6.17.0-23-generic ----------------------------------------------------- 系统目前运行在内核版本 6.17.0-23-generic 上，但 NVIDIA 的驱动程序并没有在这个内核里“安家”。这通常是因为系统在关机移动前（或重启时）自动更新了内核，但由于缺少内核头文件或 DKMS 编译失败，驱动没能自动跟进。检查内核头文件
(base) x99@x99:~$ sudo apt update 获取:2 https://download.docker.com/linux/ubuntu jammy InRelease [48.5 kB] 命中:1 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble InRelease 获取:3 https://download.docker.com/linux/ubuntu jammy/stable amd64 Packages [77.1 kB] 获取:4 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates InRelease [126 kB] 获取:7 http://security.ubuntu.com/ubuntu noble-security InRelease [126 kB] 命中:5 https://developer.download.nvidia.cn/compute/cuda/repos/ubuntu2404/x86_64 InRelease 获取:6 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-backports InRelease [126 kB] 获取:8 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/main amd64 Components [177 kB] 获取:9 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/universe amd64 Components [386 kB] 获取:10 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/multiverse amd64 Components [940 B] 获取:11 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-backports/main amd64 Components [5,764 B] 获取:12 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-backports/universe amd64 Components [10.5 kB] 获取:13 http://security.ubuntu.com/ubuntu noble-security/main amd64 Components [21.9 kB] 获取:14 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Components [74.3 kB] 已下载 1,181 kB，耗时 3秒 (463 kB/s) 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 有 133 个软件包可以升级。请执行 ‘apt list --upgradable’ 来查看它们。 (base) x99@x99:~$ sudo apt install linux-headers-$(uname -r) 正在读取软件包列表... 完成 正在分析软件包的依赖关系树... 完成 正在读取状态信息... 完成 linux-headers-6.17.0-23-generic 已经是最新版 (6.17.0-23.23~24.04.1)。 linux-headers-6.17.0-23-generic 已设置为手动安装。 下列软件包是自动安装的并且现在不需要了： libexpat1-dev libjs-sphinxdoc libjs-underscore libpython3-dev libpython3.12-dev linux-headers-6.17.0-20-generic linux-hwe-6.17-headers-6.17.0-20 linux-hwe-6.17-tools-6.17.0-20 linux-image-6.17.0-20-generic linux-modules-6.17.0-20-generic linux-modules-extra-6.17.0-20-generic linux-modules-nvidia-580-server-6.17.0-20-generic linux-objects-nvidia-580-server-6.17.0-20-generic linux-signatures-nvidia-6.17.0-20-generic linux-tools-6.17.0-20-generic python3-dev python3-wheel python3.12-dev zlib1g-dev 使用'sudo apt autoremove'来卸载它(它们)。 升级了 0 个软件包，新安装了 0 个软件包，要卸载 0 个软件包，有 133 个软件包未被升级。 --------------------------- apt install 输出中，系统提示有大量的旧包（-20-generic 版本）可以被 autoremove。这说明你的系统最近刚从内核 6.17.0-20 升级到了 6.17.0-23 之前安装的是 Ubuntu 提供的“特定内核版本驱动包”（linux-modules-nvidia-580-server-...）。这种包是死死绑定在旧内核上的，系统升级到新内核后，它不会自动为你生成新内核的驱动模块，导致驱动“失联”。 安装 DKMS（动态内核模块支持） 版本来一劳永逸地解决这个问题，这样以后内核再升级，驱动也会自动重新编译安装DKMS
sudo apt install dkms- dkms status查看驱动树为空，驱动的源码包（Source Code）没有被正确触发登记到 DKMS 树
nv驱动清场
sudo apt purge "^nvidia-.*";sudo apt autoremove;sudo apt autoclean安装nv新版驱动
sudo apt install nvidia-driver-580-server nvidia-dkms-580-server ------------------- NVIDIA Tesla V100（Volta 架构）2026 年 5 月的最新的技术支持列表 Linux 最新稳定版：580.126.20（发布于 2026 年 2 月下旬）。 Windows 最新版本：581.80。 内核兼容性：该系列驱动官方支持 Ubuntu 24.04 LTS 以及更高版本的内核检查驱动是否挂载了
(base) x99@x99:~$ dkms status nvidia-srv/580.126.20, 6.17.0-22-generic, x86_64: installed nvidia-srv/580.126.20, 6.17.0-23-generic, x86_64: installed ------------------ 激活驱动即可 ---------------------- sudo modprobe nvidia搞定
运行nvitop顺利看到显卡资源 llama.cpp需要cuda重新编译安装 580驱动记录
(base) x99@x99:~$ sudo apt install nvidia-driver-580-server nvidia-dkms-580-server 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 将会同时安装下列软件： libatomic1:i386 libbsd0:i386 libdrm-amdgpu1:i386 libdrm-intel1:i386 libdrm2:i386 libedit2:i386 libelf1t64:i386 libexpat1:i386 libffi8:i386 libgbm1:i386 libicu74:i386 libllvm20:i386 libnvidia-cfg1-580-server libnvidia-common-580-server libnvidia-compute-580-server libnvidia-compute-580-server:i386 libnvidia-decode-580-server libnvidia-decode-580-server:i386 libnvidia-egl-wayland1 libnvidia-egl-wayland1:i386 libnvidia-encode-580-server libnvidia-encode-580-server:i386 libnvidia-extra-580-server libnvidia-fbc1-580-server libnvidia-fbc1-580-server:i386 libnvidia-gl-580-server libnvidia-gl-580-server:i386 libpciaccess0:i386 libsensors5:i386 libstdc++6:i386 libwayland-client0:i386 libwayland-server0:i386 libx11-6:i386 libx11-xcb1:i386 libxau6:i386 libxcb-dri3-0:i386 libxcb-present0:i386 libxcb-randr0:i386 libxcb-sync1:i386 libxcb-xfixes0:i386 libxcb1:i386 libxdmcp6:i386 libxext6:i386 libxml2:i386 libxshmfence1:i386 mesa-libgallium:i386 nvidia-compute-utils-580-server nvidia-firmware-580-server-580.126.20 nvidia-kernel-common-580-server nvidia-kernel-source-580-server nvidia-utils-580-server ocl-icd-libopencl1:i386 xserver-xorg-video-nvidia-580-server 建议安装： lm-sensors:i386 nvidia-settings nvidia-prime 下列软件包将被【卸载】： libnvidia-compute-535 下列【新】软件包将被安装： libatomic1:i386 libbsd0:i386 libdrm-amdgpu1:i386 libdrm-intel1:i386 libdrm2:i386 libedit2:i386 libelf1t64:i386 libexpat1:i386 libffi8:i386 libgbm1:i386 libicu74:i386 libllvm20:i386 libnvidia-cfg1-580-server libnvidia-common-580-server libnvidia-compute-580-server libnvidia-compute-580-server:i386 libnvidia-decode-580-server libnvidia-decode-580-server:i386 libnvidia-egl-wayland1 libnvidia-egl-wayland1:i386 libnvidia-encode-580-server libnvidia-encode-580-server:i386 libnvidia-extra-580-server libnvidia-fbc1-580-server libnvidia-fbc1-580-server:i386 libnvidia-gl-580-server libnvidia-gl-580-server:i386 libpciaccess0:i386 libsensors5:i386 libstdc++6:i386 libwayland-client0:i386 libwayland-server0:i386 libx11-6:i386 libx11-xcb1:i386 libxau6:i386 libxcb-dri3-0:i386 libxcb-present0:i386 libxcb-randr0:i386 libxcb-sync1:i386 libxcb-xfixes0:i386 libxcb1:i386 libxdmcp6:i386 libxext6:i386 libxml2:i386 libxshmfence1:i386 mesa-libgallium:i386 nvidia-compute-utils-580-server nvidia-dkms-580-server nvidia-driver-580-server nvidia-firmware-580-server-580.126.20 nvidia-kernel-common-580-server nvidia-kernel-source-580-server nvidia-utils-580-server ocl-icd-libopencl1:i386 xserver-xorg-video-nvidia-580-server 升级了 0 个软件包，新安装了 55 个软件包，要卸载 1 个软件包，有 107 个软件包未被升级。 需要下载 549 MB 的归档。 解压缩后会消耗 1,637 MB 的额外空间。 您希望继续执行吗？ [Y/n] y 获取:1 https://developer.download.nvidia.cn/compute/cuda/repos/ubuntu2404/x86_64 libnvidia-egl-wayland1 1:1.1.21-1ubuntu1 [37.7 kB] 获取:2 https://developer.download.nvidia.cn/compute/cuda/repos/ubuntu2404/x86_64 libnvidia-egl-wayland1 1:1.1.21-1ubuntu1 [34.0 kB] 获取:3 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/main i386 libbsd0 i386 0.12.1-1build1.1 [45.3 kB] 获取:4 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/main i386 libelf1t64 i386 0.190-1.1ubuntu0.1 [62.3 kB] 获取:5 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/main i386 libexpat1 i386 2.6.1-2ubuntu0.4 [91.4 kB] 获取:6 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libffi8 i386 3.4.6-1build1 [22.8 kB] 获取:7 http://cn.archive.ubuntu.com/ubuntu noble-updates/main i386 libstdc++6 i386 14.2.0-4ubuntu2~24.04.1 [862 kB] 获取:8 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/main i386 libicu74 i386 74.2-1ubuntu3.1 [11.0 MB] 获取:9 http://cn.archive.ubuntu.com/ubuntu noble-updates/main i386 libxml2 i386 2.9.14+dfsg-1.3ubuntu3.7 [723 kB] 获取:10 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libedit2 i386 3.1-20230828-1build1 [101 kB] 获取:11 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libsensors5 i386 1:3.6.0-9build1 [28.4 kB] 获取:12 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libxau6 i386 1:1.0.9-1build6 [7,520 B] 获取:13 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libxdmcp6 i386 1:1.1.3-0ubuntu6 [10.7 kB] 获取:14 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libxcb1 i386 1.15-1ubuntu2 [54.3 kB] 获取:15 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libx11-6 i386 2:1.8.7-1build1 [670 kB] 获取:16 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libxext6 i386 2:1.3.4-1build2 [33.4 kB] 获取:17 http://cn.archive.ubuntu.com/ubuntu noble-updates/main i386 libatomic1 i386 14.2.0-4ubuntu2~24.04.1 [8,554 B] 获取:18 http://cn.archive.ubuntu.com/ubuntu noble-updates/main i386 libdrm2 i386 2.4.125-1ubuntu0.1~24.04.1 [45.4 kB] 获取:19 http://cn.archive.ubuntu.com/ubuntu noble-updates/main i386 libdrm-amdgpu1 i386 2.4.125-1ubuntu0.1~24.04.1 [25.5 kB] 获取:20 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/main i386 libpciaccess0 i386 0.17-3ubuntu0.24.04.2 [21.8 kB] 获取:21 http://cn.archive.ubuntu.com/ubuntu noble-updates/main i386 libdrm-intel1 i386 2.4.125-1ubuntu0.1~24.04.1 [69.3 kB] 获取:22 http://cn.archive.ubuntu.com/ubuntu noble-updates/main i386 libllvm20 i386 1:20.1.2-0ubuntu1~24.04.2 [35.6 MB] 获取:23 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libx11-xcb1 i386 2:1.8.7-1build1 [7,774 B] 获取:24 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libxcb-dri3-0 i386 1.15-1ubuntu2 [7,388 B] 获取:25 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libxcb-present0 i386 1.15-1ubuntu2 [5,810 B] 获取:26 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libxcb-randr0 i386 1.15-1ubuntu2 [19.5 kB] 获取:27 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libxcb-sync1 i386 1.15-1ubuntu2 [9,772 B] 获取:28 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libxcb-xfixes0 i386 1.15-1ubuntu2 [10.7 kB] 获取:29 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libxshmfence1 i386 1.3-1build5 [4,922 B] 获取:30 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/main i386 mesa-libgallium i386 25.2.8-0ubuntu0.24.04.1 [11.2 MB] 获取:31 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/main i386 libgbm1 i386 25.2.8-0ubuntu0.24.04.1 [36.1 kB] 获取:32 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-firmware-580-server-580.126.20 amd64 580.126.20-0ubuntu0.24.04.2 [75.9 MB] 获取:33 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-kernel-common-580-server amd64 580.126.20-0ubuntu0.24.04.2 [786 kB] 获取:34 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 libnvidia-cfg1-580-server amd64 580.126.20-0ubuntu0.24.04.2 [160 kB] 获取:35 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 libnvidia-common-580-server all 580.126.20-0ubuntu0.24.04.2 [18.5 kB] 获取:36 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/universe i386 ocl-icd-libopencl1 i386 2.3.2-1build1 [41.2 kB] 获取:37 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted i386 libnvidia-compute-580-server i386 580.126.20-0ubuntu0.24.04.2 [41.2 MB] 获取:38 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 libnvidia-compute-580-server amd64 580.126.20-0ubuntu0.24.04.2 [59.4 MB] 获取:39 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 libnvidia-decode-580-server amd64 580.126.20-0ubuntu0.24.04.2 [3,172 kB] 获取:40 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted i386 libnvidia-decode-580-server i386 580.126.20-0ubuntu0.24.04.2 [3,257 kB] 获取:41 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libwayland-client0 i386 1.22.0-2.1build1 [28.4 kB] 获取:42 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/main i386 libwayland-server0 i386 1.22.0-2.1build1 [37.5 kB] 获取:43 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 libnvidia-encode-580-server amd64 580.126.20-0ubuntu0.24.04.2 [115 kB] 获取:44 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted i386 libnvidia-encode-580-server i386 580.126.20-0ubuntu0.24.04.2 [135 kB] 获取:45 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 libnvidia-extra-580-server amd64 580.126.20-0ubuntu0.24.04.2 [78.2 kB] 获取:46 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted i386 libnvidia-fbc1-580-server i386 580.126.20-0ubuntu0.24.04.2 [103 kB] 获取:47 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 libnvidia-fbc1-580-server amd64 580.126.20-0ubuntu0.24.04.2 [94.6 kB] 获取:48 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 libnvidia-gl-580-server amd64 580.126.20-0ubuntu0.24.04.2 [172 MB] 获取:49 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted i386 libnvidia-gl-580-server i386 580.126.20-0ubuntu0.24.04.2 [44.5 MB] 获取:50 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-compute-utils-580-server amd64 580.126.20-0ubuntu0.24.04.2 [130 kB] 获取:51 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-kernel-source-580-server amd64 580.126.20-0ubuntu0.24.04.2 [83.9 MB] 获取:52 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-dkms-580-server amd64 580.126.20-0ubuntu0.24.04.2 [52.8 kB] 获取:53 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-utils-580-server amd64 580.126.20-0ubuntu0.24.04.2 [601 kB] 获取:54 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 xserver-xorg-video-nvidia-580-server amd64 580.126.20-0ubuntu0.24.04.2 [1,784 kB] 获取:55 http://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-driver-580-server amd64 580.126.20-0ubuntu0.24.04.2 [509 kB] 已下载 549 MB，耗时 1分 3秒 (8,722 kB/s) 正在从软件包中解出模板：100% (正在读取数据库 ... 系统当前共安装有 237653 个文件和目录。) 正在卸载 libnvidia-compute-535:amd64 (535.288.01-0ubuntu0.24.04.2) ... 正在选中未选择的软件包 libbsd0:i386。 (正在读取数据库 ... 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... 正在解压 libnvidia-egl-wayland1:i386 (1:1.1.21-1ubuntu1) ... 正在选中未选择的软件包 libnvidia-egl-wayland1:amd64。 准备解压 .../41-libnvidia-egl-wayland1_1%3a1.1.21-1ubuntu1_amd64.deb ... 正在解压 libnvidia-egl-wayland1:amd64 (1:1.1.21-1ubuntu1) ... 正在选中未选择的软件包 libnvidia-encode-580-server:amd64。 准备解压 .../42-libnvidia-encode-580-server_580.126.20-0ubuntu0.24.04.2_amd64.deb ... 正在解压 libnvidia-encode-580-server:amd64 (580.126.20-0ubuntu0.24.04.2) ... 正在选中未选择的软件包 libnvidia-encode-580-server:i386。 准备解压 .../43-libnvidia-encode-580-server_580.126.20-0ubuntu0.24.04.2_i386.deb ... 正在解压 libnvidia-encode-580-server:i386 (580.126.20-0ubuntu0.24.04.2) ... 正在选中未选择的软件包 libnvidia-extra-580-server:amd64。 准备解压 .../44-libnvidia-extra-580-server_580.126.20-0ubuntu0.24.04.2_amd64.deb ... 正在解压 libnvidia-extra-580-server:amd64 (580.126.20-0ubuntu0.24.04.2) ... 正在选中未选择的软件包 libnvidia-fbc1-580-server:i386。 准备解压 .../45-libnvidia-fbc1-580-server_580.126.20-0ubuntu0.24.04.2_i386.deb ... 正在解压 libnvidia-fbc1-580-server:i386 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libelf1t64:i386 (0.190-1.1ubuntu0.1) ... 正在设置 libnvidia-egl-wayland1:amd64 (1:1.1.21-1ubuntu1) ... 正在设置 libatomic1:i386 (14.2.0-4ubuntu2~24.04.1) ... 正在设置 nvidia-firmware-580-server-580.126.20 (580.126.20-0ubuntu0.24.04.2) ... 正在设置 libsensors5:i386 (1:3.6.0-9build1) ... 正在设置 nvidia-kernel-common-580-server (580.126.20-0ubuntu0.24.04.2) ... update-initramfs: deferring update (trigger activated) Created symlink /etc/systemd/system/systemd-hibernate.service.wants/nvidia-hibernate.service → /usr/lib/systemd/system/nvidia-hibernate.service. Created symlink /etc/systemd/system/systemd-suspend.service.wants/nvidia-resume.service → /usr/lib/systemd/system/nvidia-resume.service. Created symlink /etc/systemd/system/systemd-hibernate.service.wants/nvidia-resume.service → /usr/lib/systemd/system/nvidia-resume.service. Created symlink /etc/systemd/system/systemd-suspend-then-hibernate.service.wants/nvidia-resume.service → /usr/lib/systemd/system/nvidia-resume.service. Created symlink /etc/systemd/system/systemd-suspend.service.wants/nvidia-suspend.service → /usr/lib/systemd/system/nvidia-suspend.service. 正在设置 libffi8:i386 (3.4.6-1build1) ... 正在设置 libdrm2:i386 (2.4.125-1ubuntu0.1~24.04.1) ... 正在设置 ocl-icd-libopencl1:i386 (2.3.2-1build1) ... 正在设置 libxshmfence1:i386 (1.3-1build5) ... 正在设置 libbsd0:i386 (0.12.1-1build1.1) ... 正在设置 libstdc++6:i386 (14.2.0-4ubuntu2~24.04.1) ... 正在设置 libdrm-amdgpu1:i386 (2.4.125-1ubuntu0.1~24.04.1) ... 正在设置 libwayland-client0:i386 (1.22.0-2.1build1) ... 正在设置 libwayland-server0:i386 (1.22.0-2.1build1) ... 正在设置 libxdmcp6:i386 (1:1.1.3-0ubuntu6) ... 正在设置 libxcb1:i386 (1.15-1ubuntu2) ... 正在设置 libxcb-xfixes0:i386 (1.15-1ubuntu2) ... 正在设置 libnvidia-common-580-server (580.126.20-0ubuntu0.24.04.2) ... 正在设置 libedit2:i386 (3.1-20230828-1build1) ... 正在设置 libdrm-intel1:i386 (2.4.125-1ubuntu0.1~24.04.1) ... 正在设置 libnvidia-cfg1-580-server:amd64 (580.126.20-0ubuntu0.24.04.2) ... 正在设置 nvidia-dkms-580-server (580.126.20-0ubuntu0.24.04.2) ... update-initramfs: deferring update (trigger activated) INFO:Enable nvidia-srv DEBUG:Parsing /usr/share/ubuntu-drivers-common/quirks/lenovo_thinkpad DEBUG:Parsing /usr/share/ubuntu-drivers-common/quirks/put_your_quirks_here DEBUG:Parsing /usr/share/ubuntu-drivers-common/quirks/dell_latitude Loading new nvidia-srv/580.126.20 DKMS files... Deprecated feature: CLEAN (/usr/src/nvidia-srv-580.126.20/dkms.conf) Building for 6.17.0-22-generic and 6.17.0-23-generic Building for architecture x86_64 Building initial module nvidia-srv/580.126.20 for 6.17.0-22-generic Deprecated feature: CLEAN (/var/lib/dkms/nvidia-srv/580.126.20/source/dkms.conf) Sign command: /usr/bin/kmodsign Certificate or key are missing, generating them using update-secureboot-policy... Secure Boot not enabled on this system. Signing key: /var/lib/shim-signed/mok/MOK.priv Public certificate (MOK): /var/lib/shim-signed/mok/MOK.der Building module(s)............... done. Signing module /var/lib/dkms/nvidia-srv/580.126.20/build/nvidia.ko Signing module /var/lib/dkms/nvidia-srv/580.126.20/build/nvidia-modeset.ko Signing module /var/lib/dkms/nvidia-srv/580.126.20/build/nvidia-drm.ko Signing module /var/lib/dkms/nvidia-srv/580.126.20/build/nvidia-uvm.ko Signing module /var/lib/dkms/nvidia-srv/580.126.20/build/nvidia-peermem.ko Deprecated feature: CLEAN (/var/lib/dkms/nvidia-srv/580.126.20/source/dkms.conf) Installing /lib/modules/6.17.0-22-generic/updates/dkms/nvidia.ko.zst Installing /lib/modules/6.17.0-22-generic/updates/dkms/nvidia-modeset.ko.zst Installing /lib/modules/6.17.0-22-generic/updates/dkms/nvidia-drm.ko.zst Installing /lib/modules/6.17.0-22-generic/updates/dkms/nvidia-uvm.ko.zst Installing /lib/modules/6.17.0-22-generic/updates/dkms/nvidia-peermem.ko.zst Running depmod... done. Building initial module nvidia-srv/580.126.20 for 6.17.0-23-generic Deprecated feature: CLEAN (/var/lib/dkms/nvidia-srv/580.126.20/source/dkms.conf) Sign command: /usr/bin/kmodsign Signing key: /var/lib/shim-signed/mok/MOK.priv Public certificate (MOK): /var/lib/shim-signed/mok/MOK.der Building module(s)............... done. Signing module /var/lib/dkms/nvidia-srv/580.126.20/build/nvidia.ko Signing module /var/lib/dkms/nvidia-srv/580.126.20/build/nvidia-modeset.ko Signing module /var/lib/dkms/nvidia-srv/580.126.20/build/nvidia-drm.ko Signing module /var/lib/dkms/nvidia-srv/580.126.20/build/nvidia-uvm.ko Signing module /var/lib/dkms/nvidia-srv/580.126.20/build/nvidia-peermem.ko Deprecated feature: CLEAN (/var/lib/dkms/nvidia-srv/580.126.20/source/dkms.conf) Installing /lib/modules/6.17.0-23-generic/updates/dkms/nvidia.ko.zst Installing /lib/modules/6.17.0-23-generic/updates/dkms/nvidia-modeset.ko.zst Installing /lib/modules/6.17.0-23-generic/updates/dkms/nvidia-drm.ko.zst Installing /lib/modules/6.17.0-23-generic/updates/dkms/nvidia-uvm.ko.zst Installing /lib/modules/6.17.0-23-generic/updates/dkms/nvidia-peermem.ko.zst Running depmod... done. 正在设置 xserver-xorg-video-nvidia-580-server (580.126.20-0ubuntu0.24.04.2) ... 正在设置 libxcb-present0:i386 (1.15-1ubuntu2) ... 正在设置 libnvidia-egl-wayland1:i386 (1:1.1.21-1ubuntu1) ... 正在设置 libnvidia-extra-580-server:amd64 (580.126.20-0ubuntu0.24.04.2) ... 正在设置 libxcb-sync1:i386 (1.15-1ubuntu2) ... 正在设置 libnvidia-fbc1-580-server:amd64 (580.126.20-0ubuntu0.24.04.2) ... 正在设置 libnvidia-compute-580-server:amd64 (580.126.20-0ubuntu0.24.04.2) ... 正在设置 libnvidia-compute-580-server:i386 (580.126.20-0ubuntu0.24.04.2) ... 正在设置 libicu74:i386 (74.2-1ubuntu3.1) ... 正在设置 libxcb-randr0:i386 (1.15-1ubuntu2) ... 正在设置 libx11-6:i386 (2:1.8.7-1build1) ... 正在设置 libnvidia-decode-580-server:amd64 (580.126.20-0ubuntu0.24.04.2) ... 正在设置 libxml2:i386 (2.9.14+dfsg-1.3ubuntu3.7) ... 正在设置 nvidia-utils-580-server (580.126.20-0ubuntu0.24.04.2) ... 正在设置 libxcb-dri3-0:i386 (1.15-1ubuntu2) ... 正在设置 libx11-xcb1:i386 (2:1.8.7-1build1) ... 正在设置 libxext6:i386 (2:1.3.4-1build2) ... 正在设置 libnvidia-gl-580-server:amd64 (580.126.20-0ubuntu0.24.04.2) ... 正在设置 libnvidia-fbc1-580-server:i386 (580.126.20-0ubuntu0.24.04.2) ... 正在设置 nvidia-compute-utils-580-server (580.126.20-0ubuntu0.24.04.2) ... info: 您指定的主目录 /nonexistent 无法访问：No such file or directory info: 从 100 到 999 中选择 UID... info: 从 100 到 999 中选择 GID... info: 正在添加系统用户"nvidia-persistenced" (UID 122)... info: 正在添加新组"nvidia-persistenced" (GID 124)... info: 正在将新用户"nvidia-persistenced" (UID 122)添加到组"nvidia-persistenced"... info: 不创建目录"/nonexistent"。 正在设置 libllvm20:i386 (1:20.1.2-0ubuntu1~24.04.2) ... 正在设置 libnvidia-encode-580-server:amd64 (580.126.20-0ubuntu0.24.04.2) ... 正在设置 libnvidia-decode-580-server:i386 (580.126.20-0ubuntu0.24.04.2) ... 正在设置 nvidia-driver-580-server (580.126.20-0ubuntu0.24.04.2) ... 正在设置 mesa-libgallium:i386 (25.2.8-0ubuntu0.24.04.1) ... 正在设置 libgbm1:i386 (25.2.8-0ubuntu0.24.04.1) ... 正在设置 libnvidia-gl-580-server:i386 (580.126.20-0ubuntu0.24.04.2) ... 正在设置 libnvidia-encode-580-server:i386 (580.126.20-0ubuntu0.24.04.2) ... 正在处理用于 libc-bin (2.39-0ubuntu8.7) 的触发器 ... 正在处理用于 man-db (2.12.0-4build2) 的触发器 ... 正在处理用于 initramfs-tools (0.142ubuntu25.8) 的触发器 ... update-initramfs: Generating /boot/initrd.img-6.17.0-23-generic