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1. #CHECK NVIDIA CUDA TOOLKIT VERSION HOW TO#
2. #CHECK NVIDIA CUDA TOOLKIT VERSION INSTALL#
3. #CHECK NVIDIA CUDA TOOLKIT VERSION UPDATE#
4. #CHECK NVIDIA CUDA TOOLKIT VERSION DRIVER#
5. #CHECK NVIDIA CUDA TOOLKIT VERSION SERIES#

#CHECK NVIDIA CUDA TOOLKIT VERSION INSTALL#

Install the desired program: yum install -y kernel-devel-`uname -r` gcc gcc-c++

#CHECK NVIDIA CUDA TOOLKIT VERSION UPDATE#

Update the software installation source: yum -y update -exclude=kernel* -exclude=centos-release* -exclude=initscripts* Install necessary programs: apt-get install gcc g++ make Update the software installation source: apt-get -y update Update the system software based on the OS.It is recommended that the release time of the kernel version and driver version be the same. In such a case, select the desired kernel version and driver version and reinstall them. If the log shows that the failure was caused by a driver compilation error, for example, the get_user_pages parameter setting is incorrect, the kernel version is incompatible with the driver version. If installing the driver failed, check the driver installation log, which is generally stored in /var/log/nvidia-installer.log. Get:4 file:/var/cuda-repo-10-1-local-10.1.105-418.The Linux kernel version is compatible with the driver version. Sudo apt-key add apt-key add apt-get update The public CUDA GPG key does not appear to be installed. 135800 files and directories currently installed.) Selecting previously unselected package cuda-repo-ubuntu-local-10.1.105-418.39. $ sudo apt-key add /var/cuda-repo-/7fa2af80.pub The distribution-specific packages interface with the distribution's native package management system. The distribution-independent package has the advantage of working across a wider set of Linux distributions, but does not update the distribution's native package management system. The CUDA Toolkit can be installed using either of two different installation mechanisms: distribution-specific packages (RPM and Deb packages), or a distribution-independent package (runfile packages). Linux-headers-4.15.0-29-generic is already the newest version (4.15.0-29.31).Ġ upgraded, 0 newly installed, 0 to remove and 14 not upgraded. #The kernel headers and development packages for the currently running kernel can be installed install linux-headers-$(uname -r) #Verify the System has the Correct Kernel Headers and Development Packages uname -r Warranty not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. This is free software see the source for copying conditions. #Verify the System Has gcc gcc -versionĬopyright (C) 2017 Free Software Foundation, Inc. #Verify You Have a Supported Version of Linux #WaylandEnable=false -> WaylandEnable=false # Uncoment the line below to force the login screen to use Xorg #Nouveau disabling (open source graphical bash -c "echo blacklist nouveau > bash -c "echo options nouveau modeset=0 > cat /etc/modprobe.d/nfĢ 1000 jpext seat0 show-session 2 -p vi /etc/gdm3/nf

Modalias : pci:v000010DEd00001436sv0000103Csd00008275bc03sc00i00ĭriver : nvidia-driver-390 - distro non-free recommendedĭriver : xserver-xorg-video-nouveau - distro free builtin #you can also you can execute the following ubuntu-drivers devices

#Determine Graphics card lspci | grep -e VGAĠ0:02.0 VGA compatible controller: Intel Corporation HD Graphics P630 (rev 04)Ġ1:00.0 VGA compatible controller: NVIDIA Corporation GM206GLM (rev a1) There are a few important steps that are not mentioned there.įor that reason I want to further clarify installation process.

#CHECK NVIDIA CUDA TOOLKIT VERSION HOW TO#

In the first part I’ve described how to properly install nVidia drivers on Ubuntu 18.04 LTSĭetailed instructions can be found on any of these two pages:Īlthough you can find more info about CUDA Toolkit installation at the following page:

#CHECK NVIDIA CUDA TOOLKIT VERSION SERIES#

This is the second part of CUDA-GPU tuning series where I’ll explain how to install CUDA Toolkit 10.1 on Ubuntu 18.04 LTS.