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sudo yum install http://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-repo-rhel7-8.0.44-1.x86_64.rpm | sudo yum install http://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-repo-rhel7-9.2.148-1.x86_64.rpm |
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sudo yum install http://developer.download.nvidia.com/compute/cuda/repos/rhel6/x86_64/cuda-repo-rhel6-8.0.44-1.x86_64.rpm | sudo yum install http://developer.download.nvidia.com/compute/cuda/repos/rhel6/x86_64/cuda-repo-rhel6-9.2.148-1.x86_64.rpm |
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* Fedora 23 (and later) {{{ sudo dnf install http://developer.download.nvidia.com/compute/cuda/repos/fedora23/x86_64/cuda-repo-fedora23-8.0.44-1.x86_64.rpm |
* Fedora 27 (and later) {{{ sudo dnf install http://developer.download.nvidia.com/compute/cuda/repos/fedora27/x86_64/cuda-repo-fedora27-9.2.148-1.x86_64.rpm |
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== Legacy NVIDIA-340XX/CUDA == This repository contains a legacy version of CUDA 6.5 that will works with the NVIDIA 340xx serie Please use the Official link: https://developer.nvidia.com/cuda-toolkit-65 * RHEL/CentOS 6 {{{ sudo yum install http://developer.download.nvidia.com/compute/cuda/repos/rhel6/x86_64/cuda-repo-rhel6-6.5-14.x86_64.rpm sudo yum install cuda }}} * Fedora 20 (and later) {{{ sudo yum install install http://developer.download.nvidia.com/compute/cuda/repos/fedora20/x86_64/cuda-repo-fedora20-6.5-14.x86_64.rpm sudo yum install cuda }}} Please verify to have a compatible compiler. |
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* Tweak the /usr/local/cuda-8.0/targets/x86_64-linux/include/host_defines.h to accept the Fedora default compiler. | * Tweak the /usr/local/cuda-9.2/targets/x86_64-linux/include/host_defines.h to accept the Fedora default compiler. (Not recommended). |
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* Install the appropriate gcc version for CentOS developper toolset. Please see https://www.softwarecollections.org/en/scls/rhscl/devtoolset-4/ | * Install the appropriate gcc version from developper toolset. It will install in parallel. Please see https://www.softwarecollections.org/en/scls/rhscl/devtoolset-7/ |
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sudo dnf install http://ftp.ciril.fr/pub/linux/centos/7.3.1611/extras/x86_64/Packages/centos-release-scl-2-2.el7.centos.noarch.rpm sudo dnf install devtoolset-4-toolchain |
sudo dnf install http://centos.mirrors.ovh.net/ftp.centos.org/7/extras/x86_64/Packages/centos-release-scl-rh-2-2.el7.centos.noarch.rpm sudo dnf install http://centos.mirrors.ovh.net/ftp.centos.org/7/updates/x86_64/Packages/libgfortran4-7.2.1-1.2.1.el7_5.x86_64.rpm sudo dnf install devtoolset-7-toolchain |
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You cannot install the whole devtoolset-4 collection, but the toolchain is enough , then each time you need to build using cuda, you start by | You cannot install the whole devtoolset-7 collection, but the toolchain is enough , then each time you need to build using cuda, you start by |
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scl run devtoolset-4 bash | scl run devtoolset-7 bash |
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gcc (GCC) 5.2.1 20150902 (Red Hat 5.2.1-2) Copyright (C) 2015 Free Software Foundation, Inc. |
gcc (GCC) 7.3.1 20180303 (Red Hat 7.3.1-5) Copyright (C) 2017 Free Software Foundation, Inc. |
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warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE | warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. |
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gcc (GCC) 6.2.1 20160916 (Red Hat 6.2.1-2) Copyright © 2016 Free Software Foundation, Inc. Ce logiciel est libre; voir les sources pour les conditions de copie. Il n'y a PAS GARANTIE; ni implicite pour le MARCHANDAGE ou pour un BUT PARTICULIER |
gcc (GCC) 8.1.1 20180712 (Red Hat 8.1.1-5) Copyright (C) 2018 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. }}} === Which driver Package === Both "CUDA" and "RPM Fusion" repositories provide the nvidia driver packages. Usually, the package provided by RPM Fusion is higher. But in case you want to avoid the risk, add this: {{{ #/etc/yum.repos.d/cuda.repo [cuda] name=cuda ... exclude=xorg-x11-drv-nvidia*,akmod-nvidia*,kmod-nvidia*,nvidia-settings,nvidia-xconfig,nvidia-persistenced |
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=== NVIDIA provided libOpenCL === NVIDIA only advertise OpenCL 1.2 with the binary driver at this time. As a consequence, they provide an old version of libOpenCL.so.1 which works fine with their binary driver. As most software in Fedora and RPM Fusion are built using a newer libOpenCL, the system linker detects that and issues the following message: {{{ /usr/local/cuda-9.2/targets/x86_64-linux/lib/libOpenCL.so.1: no version information available (required by ffmpeg) }}} You can either ignore the message or manually delete the libOpenCL.so.1 provided by NVIDIA (run sudo ldconfig once deleted). Please verify to not have other OpenCL providers that might interfere with NVIDIA OpenCL usage. (looking at /etc/OpenCL/vendors ). === Running blender === Even when only running blender, you need a CUDA compatible compiler as described above. This is because blender will compile the "CUDA Kernels" optimized for your own GPU. You can run blender with: {{{ scl run devtoolset-7 blender }}} Once the "CUDA kernels" are compiled, you can run blender normally |
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* CUDA Start quide: https://developer.nvidia.com/compute/cuda/8.0/prod/docs/sidebar/CUDA_Quick_Start_Guide-pdf | * CUDA whatsnew : https://developer.nvidia.com/cuda-toolkit/whatsnew |
Contents
Installation
This Howto provides a way to install the official NVIDIA packages for CUDA.
Repository
This repository contains a given version of CUDA that is parallel installable along with another version.
Please use the Official link: https://developer.nvidia.com/cuda-downloads
RHEL/CentOS 7
sudo yum install http://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-repo-rhel7-9.2.148-1.x86_64.rpm sudo yum install cuda
RHEL/CentOS 6
sudo yum install http://developer.download.nvidia.com/compute/cuda/repos/rhel6/x86_64/cuda-repo-rhel6-9.2.148-1.x86_64.rpm sudo yum install cuda
Fedora 27 (and later)
sudo dnf install http://developer.download.nvidia.com/compute/cuda/repos/fedora27/x86_64/cuda-repo-fedora27-9.2.148-1.x86_64.rpm sudo dnf install cuda
Legacy NVIDIA-340XX/CUDA
This repository contains a legacy version of CUDA 6.5 that will works with the NVIDIA 340xx serie
Please use the Official link: https://developer.nvidia.com/cuda-toolkit-65
RHEL/CentOS 6
sudo yum install http://developer.download.nvidia.com/compute/cuda/repos/rhel6/x86_64/cuda-repo-rhel6-6.5-14.x86_64.rpm sudo yum install cuda
Fedora 20 (and later)
sudo yum install install http://developer.download.nvidia.com/compute/cuda/repos/fedora20/x86_64/cuda-repo-fedora20-6.5-14.x86_64.rpm sudo yum install cuda
Please verify to have a compatible compiler.
Known issues
GCC version
When using a later version of Fedora than what is supported by the NVIDIA CUDA Official repository, you might be unable to compile. You can either:
- Tweak the /usr/local/cuda-9.2/targets/x86_64-linux/include/host_defines.h to accept the Fedora default compiler. (Not recommended).
Install the appropriate gcc version from developper toolset. It will install in parallel. Please see https://www.softwarecollections.org/en/scls/rhscl/devtoolset-7/
sudo dnf install http://centos.mirrors.ovh.net/ftp.centos.org/7/extras/x86_64/Packages/centos-release-scl-rh-2-2.el7.centos.noarch.rpm sudo dnf install http://centos.mirrors.ovh.net/ftp.centos.org/7/updates/x86_64/Packages/libgfortran4-7.2.1-1.2.1.el7_5.x86_64.rpm sudo dnf install devtoolset-7-toolchain
You cannot install the whole devtoolset-7 collection, but the toolchain is enough , then each time you need to build using cuda, you start by
scl run devtoolset-7 bash gcc --version gcc (GCC) 7.3.1 20180303 (Red Hat 7.3.1-5) Copyright (C) 2017 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. exit gcc --version gcc (GCC) 8.1.1 20180712 (Red Hat 8.1.1-5) Copyright (C) 2018 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.
Which driver Package
Both "CUDA" and "RPM Fusion" repositories provide the nvidia driver packages. Usually, the package provided by RPM Fusion is higher. But in case you want to avoid the risk, add this:
#/etc/yum.repos.d/cuda.repo [cuda] name=cuda ... exclude=xorg-x11-drv-nvidia*,akmod-nvidia*,kmod-nvidia*,nvidia-settings,nvidia-xconfig,nvidia-persistenced
NVIDIA provided libOpenCL
NVIDIA only advertise OpenCL 1.2 with the binary driver at this time. As a consequence, they provide an old version of libOpenCL.so.1 which works fine with their binary driver. As most software in Fedora and RPM Fusion are built using a newer libOpenCL, the system linker detects that and issues the following message:
/usr/local/cuda-9.2/targets/x86_64-linux/lib/libOpenCL.so.1: no version information available (required by ffmpeg)
You can either ignore the message or manually delete the libOpenCL.so.1 provided by NVIDIA (run sudo ldconfig once deleted). Please verify to not have other OpenCL providers that might interfere with NVIDIA OpenCL usage. (looking at /etc/OpenCL/vendors ).
Running blender
Even when only running blender, you need a CUDA compatible compiler as described above. This is because blender will compile the "CUDA Kernels" optimized for your own GPU. You can run blender with:
scl run devtoolset-7 blender
Once the "CUDA kernels" are compiled, you can run blender normally
References
CUDA whatsnew : https://developer.nvidia.com/cuda-toolkit/whatsnew
CUDA documentation: https://docs.nvidia.com/cuda/index.html