ubuntu2204配置anaconda&cuda&4090nvidia驱动

背景

某个机房的几台机器前段时间通过dnat暴露至公网后被入侵挖矿，为避免一些安全隐患将这几台机器执行重装系统操作；

这里主要记录配置nvidia驱动及cuda&anaconda。

步骤

大概分为几个步骤

禁用nouveau
配置grub显示菜单
install nvidia-driver
install cuda
install anaconda
测试

执行

system info

bash 复制代码

root@xxx:~# cat /etc/os-release 
PRETTY_NAME="Ubuntu 22.04.3 LTS"
NAME="Ubuntu"
VERSION_ID="22.04"
VERSION="22.04.3 LTS (Jammy Jellyfish)"
VERSION_CODENAME=jammy
ID=ubuntu
ID_LIKE=debian
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
UBUNTU_CODENAME=jammy
root@xxx:~# uname -a 
Linux exai-121 6.5.0-41-generic #41~22.04.2-Ubuntu SMP PREEMPT_DYNAMIC Mon Jun  3 11:32:55 UTC 2 x86_64 x86_64 x86_64 GNU/Linux

禁用nouveau

bash 复制代码

echo -e "blacklist nouveau\noptions nouveau modeset=0" > /etc/modprobe.d/blacklist-nouveau.conf
update-initramfs -u

配置grub显示菜单

bash 复制代码

    sed -i 's/^GRUB_TIMEOUT=.*$/GRUB_TIMEOUT=10/' /etc/default/grub
    sed -i 's/^GRUB_TIMEOUT_STYLE=hidden/#&/' /etc/default/grub
    # 验证
    grep -E "GRUB_TIMEOUT" /etc/default/grub
    # 更新grub
    update-grub

install nvidia-driver

两种安装驱动的方法

添加ppa源的方式用apt安装
官网下载指定版本的离线安全包安装

方法一

使用ubuntu带的硬件扫描配合ppa源安装

bash 复制代码

# 扫描硬件
ubuntu-drivers devices

== /sys/devices/pci0000:00/0000:00:01.1/0000:01:00.0 ==
modalias : pci:v000010DEd00002684sv000010DEsd0000167Cbc03sc00i00
vendor   : NVIDIA Corporation
manual_install: True
driver   : nvidia-driver-535-server-open - distro non-free
driver   : nvidia-driver-535 - distro non-free recommended
driver   : nvidia-driver-545-open - distro non-free
driver   : nvidia-driver-535-server - distro non-free
driver   : nvidia-driver-545 - distro non-free
driver   : nvidia-driver-535-open - distro non-free
driver   : nvidia-driver-530 - third-party non-free
driver   : xserver-xorg-video-nouveau - distro free builtin
# apt安装需要的驱动版本即可 例如
apt install nvidia-driver-535 -y

方法二

编译器下载

bash 复制代码

apt update && apt install gcc make -y

官网下载535.183.01版本对应的离线安装run包

这里直接使用curl+proxy下载了

bash 复制代码

chmod +x NVIDIA-Linux-x86_64-535.183.01.run 
 ./NVIDIA-Linux-x86_64-535.183.01.run

过程中遇到的选项根据提示选择即可

bash 复制代码

root@xxx:~# nvidia-smi 
Thu Jul 14 09:xx:01 2024       
+---------------------------------------------------------------------------------------+
| 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 GeForce RTX 4090        Off | 00000000:01:00.0 Off |                  Off |
| 32%   62C    P2             224W / 450W |  19736MiB / 24564MiB |     96%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
|   1  NVIDIA GeForce RTX 4090        Off | 00000000:81:00.0 Off |                  Off |
| 31%   49C    P2             144W / 450W |  11430MiB / 24564MiB |     38%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
|   2  NVIDIA GeForce RTX 4090        Off | 00000000:C1:00.0 Off |                  Off |
| 37%   63C    P2             140W / 450W |  11430MiB / 24564MiB |     39%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
|   3  NVIDIA GeForce RTX 4090        Off | 00000000:C2:00.0 Off |                  Off |
| 32%   58C    P2             136W / 450W |  11430MiB / 24564MiB |     40%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+

其他常用命令

更详细的卸载请参考https://blog.csdn.net/qq_43652666/article/details/134705794

bash 复制代码

# 卸载nvidia驱动
nvidia-uninstall

如果系统没有nvidia-uninstall可以使用dpkg包管理器列出系统中的nvidia关键字的包进行卸载

bash 复制代码

dpkg -l |grep nvidia*
apt remove --purge '^nvidia-.*'

install cuda

在https://developer.nvidia.com/cuda-toolkit-archive这里选择要下载的版本

下载对应的离线run包

执行安装的时候要取消自带安装的530版本驱动，因为本地已经有驱动了。

注意这里cuda后缀标识代表会安装530.30.02版本的驱动，而我们本地已经安装了535的驱动，cuda版本是向下兼容的。

bash 复制代码

root@xxx:~# chmod +x cuda_12.1.1_530.30.02_linux.run 
# 安装完成
root@exai-121:~# sh cuda_12.1.1_530.30.02_linux.run
===========
= Summary =
===========

Driver:   Not Selected
Toolkit:  Installed in /usr/local/cuda-12.1/

Please make sure that
 -   PATH includes /usr/local/cuda-12.1/bin
 -   LD_LIBRARY_PATH includes /usr/local/cuda-12.1/lib64, or, add /usr/local/cuda-12.1/lib64 to /etc/ld.so.conf and run ldconfig as root

To uninstall the CUDA Toolkit, run cuda-uninstaller in /usr/local/cuda-12.1/bin
***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 530.00 is required for CUDA 12.1 functionality to work.
To install the driver using this installer, run the following command, replacing <CudaInstaller> with the name of this run file:
    sudo <CudaInstaller>.run --silent --driver

Logfile is /var/log/cuda-installer.log

# 验证
root@xxx:~# /usr/local/cuda-12.1/bin/nvcc --version 
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Mon_Apr__3_17:16:06_PDT_2023
Cuda compilation tools, release 12.1, V12.1.105
Build cuda_12.1.r12.1/compiler.32688072_0

ubuntu2204上不推荐使用530版本的驱动，安装会有一些依赖和GCC问题，尝试解决无果。推荐使用高版本驱动来向下兼容cuda版本。

问题：

make: *** [Makefile:82: modules] Error 2

-> Checking to see whether the nvidia kernel module was successfully built

executing: 'cd ./kernel; /usr/bin/make -k -j32 NV_EXCLUDE_KERNEL_MODULES="" SYSSRC="/lib/modules/6.5.0-41-generic/build" SYSOUT="/lib/modules/6.5.0-41-generic/build" NV_KERNEL_MODULES="nvidia"'...

make[1]: Entering directory '/usr/src/linux-headers-6.5.0-41-generic'

warning: the compiler differs from the one used to build the kernel

The kernel was built by: x86_64-linux-gnu-gcc-12 (Ubuntu 12.3.0-1ubuntu1~22.04) 12.3.0

You are using: cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0

Warning: Compiler version check failed:

The major and minor number of the compiler used to

compile the kernel:

x86_64-linux-gnu-gcc-12 (Ubuntu 12.3.0-1ubuntu1~22.04) 12.3.0, GNU ld (GNU Binutils for Ubuntu) 2.38

does not match the compiler used here:

cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0

This is free software; see the source for copying conditions. There is NO

warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

It is recommended to set the CC environment variable

to the compiler that was used to compile the kernel.

To skip the test and silence this warning message, set

the IGNORE_CC_MISMATCH environment variable to "1".

However, mixing compiler versions between the kernel

and kernel modules can result in subtle bugs that are

difficult to diagnose.

Failed CC version check.

The kernel was built by: x86_64-linux-gnu-gcc-12 (Ubuntu 12.3.0-1ubuntu1~22.04) 12.3.0 You are using: cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0

make[3]: *** [scripts/Makefile.build:251: /tmp/selfgz2901/NVIDIA-Linux-x86_64-530.30.02/kernel/nvidia/i2c_nvswitch.o] Error 1

make[3]: Target '/tmp/selfgz2901/NVIDIA-Linux-x86_64-530.30.02/kernel/' not remade because of errors.

make[2]: *** [/usr/src/linux-headers-6.5.0-41-generic/Makefile:2039: /tmp/selfgz2901/NVIDIA-Linux-x86_64-530.30.02/kernel] Error 2

make[2]: Target 'modules' not remade because of errors.

make[1]: *** [Makefile:234: __sub-make] Error 2

make[1]: Target 'modules' not remade because of errors.

make[1]: Leaving directory '/usr/src/linux-headers-6.5.0-41-generic'

make: *** [Makefile:82: modules] Error 2

ERROR: The nvidia kernel module was not created.

ERROR: Installation has failed. Please see the file '/var/log/nvidia-installer.log' for details. You may find suggestions on fixing installation problems in the README available on the Linux driver download page at www.nvidia.com.

/tmp/selfgz2901/NVIDIA-Linux-x86_64-530.30.02/kernel/common/inc/nv-mm.h:88:60: warning: passing argument 4 of 'get_user_pages' makes pointer from integer without a cast [-Wint-conversion]

/tmp/selfgz2901/NVIDIA-Linux-x86_64-530.30.02/kernel/nvidia/nv-mmap.c:673:23: error: assignment of read-only member 'vm_flags'

尝试通过更换gcc版本解决：

bash 复制代码

update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-11 11
update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-12 12
update-alternatives --config gcc
# 弹出来的选项中选择12版本

这是离线安装驱动方案下的问题，使用apt安装530版本未测试过，不确定包管理器是否会自动解决编译依赖问题

后续

使用sudo定制权限管理

https://blog.51cto.com/154773488/2449180

https://blog.csdn.net/Field_Yang/article/details/51547804

参考

https://www.cnblogs.com/tarsss/p/17433419.html

https://blog.csdn.net/jiexijihe945/article/details/131517630

cuda下载地址

https://developer.nvidia.com/cuda-toolkit-archive