Verify You Have a CUDA-Capable GPU
$ lspci | grep -i nvidia
01:00.0 VGA compatible controller: NVIDIA Corporation Device 1b06 (rev a1)
01:00.1 Audio device: NVIDIA Corporation Device 10ef (rev a1)
Verify You Have a Supported Version of Linux
$ uname -m && cat /etc/*release
x86_64
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=16.04
DISTRIB_CODENAME=xenial
DISTRIB_DESCRIPTION="Ubuntu 16.04.5 LTS"
NAME="Ubuntu"
VERSION="16.04.5 LTS (Xenial Xerus)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 16.04.5 LTS"
VERSION_ID="16.04"
HOME_URL="http://www.ubuntu.com/"
SUPPORT_URL="http://help.ubuntu.com/"
BUG_REPORT_URL="http://bugs.launchpad.net/ubuntu/"
VERSION_CODENAME=xenial
UBUNTU_CODENAME=xenial
Verify the System Has gcc Installed
$ gcc --version
gcc (Ubuntu 5.4.0-6ubuntu1~16.04.10) 5.4.0 20160609
Copyright (C) 2015 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
Verify the System has the Correct Kernel Headers and Development Packages Installed
the CUDA Driver requires that the kernel headers and development packages for
the running version of the kernel be installed at the time of the driver installation,
as well whenever the driver is rebuilt. For example, if your system is running kernel
version 3.17.4-301, the 3.17.4-301 kernel headers and development packages must also be
installed.
While the Runfile installation performs no package validation, the RPM and Deb
installations of the driver will make an attempt to install the kernel header and
development packages if no version of these packages is currently installed. However,
it will install the latest version of these packages, which may or may not match the
version of the kernel your system is using. Therefore, it is best to manually ensure the
correct version of the kernel headers and development packages are installed prior to
installing the CUDA Drivers, as well as whenever you change the kernel version.
The version of the kernel your system is running can be found by running the following
command:
$ uname -r
4.15.0-33-generic
This is the version of the kernel headers and development packages that must be
installed prior to installing the CUDA Drivers. This command will be used multiple
times below to specify the version of the packages to install. Note that below are the
common-case scenarios for kernel usage. More advanced cases, such as custom kernel
branches, should ensure that their kernel headers and sources match the kernel build
they are running.
Ubuntu
The kernel headers and development packages for the currently running kernel can be
installed with:
$ sudo apt-get install linux-headers-$(uname -r)Choose an Installation Method
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). 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 distribution-specific packages interface with
the distribution's native package management system. It is recommended to use the
distribution-specific packages, where possible.
Download the NVIDIA CUDA Toolkit
The NVIDIA CUDA Toolkit is available at
http://developer.nvidia.com/cuda-downloads.
Choose the platform you are using and download the NVIDIA CUDA Toolkit
The CUDA Toolkit contains the CUDA driver and tools needed to create, build and run
a CUDA application as well as libraries, header files, CUDA samples source code, and
other resources.
Download Verification
The download can be verified by comparing the MD5 checksum posted at http://
developer.nvidia.com/cuda-downloads/checksums with that of the downloaded
file. If either of the checksums differ, the downloaded file is corrupt and needs to be
downloaded again.
To calculate the MD5 checksum of the downloaded file, run the following:
$ md5sum <file>download a local deb
then
$ sudo dpkg -i cuda-repo-ubuntu1604-9-2-local_9.2.148-1_amd64.deb
$ sudo apt-key add /var/cuda-repo-9-2-local/7fa2af80.pub
$ sudo apt-get update
$ sudo apt-get install cuda
$ echo 'export PATH=/usr/local/cuda-9.2/bin:$PATH' >> ~/.bashrc
$ echo 'export LD_LIBRARY_PATH=/usr/local/cuda-9.2/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
$ source ~/.bashrc
$ sudo reboot
check if cuda is installed sucess.
$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Tue_Jun_12_23:07:04_CDT_2018
Cuda compilation tools, release 9.2, V9.2.148The NVIDIA Persistence Daemon should be automatically started for POWER9
installations. Check that it is running with the following command:
$ systemctl status nvidia-persistenced
nvidia-persistenced.service - NVIDIA Persistence Daemon
Loaded: loaded (/lib/systemd/system/nvidia-persistenced.service; static; vendor preset: enabled)
Active: active (running) since 三 2018-08-29 13:11:14 CST; 16min ago
Process: 851 ExecStart=/usr/bin/nvidia-persistenced --user nvidia-persistenced --no-persistence-mode --verbose (code=exited, status=0/SUCCESS)
Main PID: 866 (nvidia-persiste)
CGroup: /system.slice/nvidia-persistenced.service
└─866 /usr/bin/nvidia-persistenced --user nvidia-persistenced --no-persistence-mode --verbose
If it is not active, run the following command:
$ sudo systemctl enable nvidia-persistenced