Ubuntu 18.04 Environment Configuration

1. Check GPU Device Recognition

  $ sudo lspci | grep NVIDIA
  3D controller: NVIDIA Corporation GK210GL [Tesla K80] indicates that it is recognized as K80
  3D controller: NVIDIA Corporation GP102GL [Tesla P40] (rev a1) indicates that it is recognized as P40

2. Shield open-source driver nouveau

Edit the following file:

sudo vim /etc/modprobe.d/blacklist-nouveau.conf

Write in the following content:

blacklist nouveau
blacklist lbm-nouveau
options nouveau modeset=0
alias nouveau off
alias lbm-nouveau off

Update and restart:

sudo update-initramfs -u
sudo reboot
sudo apt-get install build-essential pkg-config

The kernel of console Ubuntu 18.04 image is 4.15.0-68-generic, and the version of linux-headers-4.15.0-68 is no longer available for download from Ubuntu official (status is deleted), which is necessary for driver installation, as it is required for the installation of the driver. It is recommended to upgrade the kernel to the subsequent version first.

You can download the kernel from the official website https://kernel.ubuntu.com/~kernel-ppa/mainline/, for example, 4.15.1

You can also download from UFile, the speed is faster

http://gpu.cn-bj.ufileos.com/linux-headers-4.15.1-041501-generic_4.15.1-041501.201802031831_amd64.deb
http://gpu.cn-bj.ufileos.com/linux-headers-4.15.1-041501_4.15.1-041501.201802031831_all.deb
http://gpu.cn-bj.ufileos.com/linux-image-4.15.1-041501-generic_4.15.1-041501.201802031831_amd64.deb

Installed the kernel, reboot and check the version:

sudo dpkg -i *.deb
sudo reboot
uname -r

3. Install nvidia driver

3.1 Download

Download the appropriate driver from the nvidia official website (current version 418.126.02), address https://www.nvidia.com/Download/index.aspx?lang=en-us

You can also download from UFile, the speed is faster http://gpu.cn-bj.ufileos.com/NVIDIA-Linux-x86_64-418.126.02.run

3.2 Install

sudo chmod +x NVIDIA-Linux-x86_64-418.126.02.run
sudo ./NVIDIA-Linux-x86_64-418.126.02.run

3.3 Check driver status


$ sudo nvidia-smi

4. Install cuda library

4.1 Network installation

sudo wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin

sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600

sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub

sudo add-apt-repository "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"

sudo apt-get update

sudo apt-get -y install cuda

4.2 Local installation

wget http://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda_10.2.89_440.33.01_linux.run
sudo sh cuda_10.2.89_440.33.01_linux.run

FAQ

1. nvidia-smi finds GPU usage 100%, why?

This problem is caused by the inaccuracy of the system to read the GPU state information. The following commands can correct it and make the system read commands correctly. #sudo nvidia-smi -pm 1

2. Besides self-installation, are there other methods to obtain driver images?

You can submit a ticket, or contact staff, to obtain UCloud Global‘s image containing GPU driver and Cuda environment, saving the time of manual installation.

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