Is there any tutorial to install CUDA on Ubuntu 18.04?
The instructions on the Nvidia website for 17.04 and 16.04 do not work for 18.04.
I get a message telling me to reboot then re-run the installer. However when I do this I get that same message again.
In a terminal, type:
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update
sudo ubuntu-drivers autoinstall
reboot
sudo apt install nvidia-cuda-toolkit gcc-6
nvcc --version
I have a gtx970 graphics card and a fresh install of Ubuntu 18.04
This worked for me
sudo apt upgrade broke everything again, be careful with upgrades!
autoinstall command results in The following packages have unmet dependencies: nvidia-driver-415
update drivers and install cuda toolkit or is this just the preparation to make sure the official installation guide works properly?
I have installed CUDA 9.1 on Ubuntu 18.04, and runs very well.
I modify THE default gcc and g++, and use .run files instead of .deb files.
Install gcc-6, g++-6 (CUDA requires gcc-6 !)
In /usr/bin run
sudo rm gcc, gcc-ar, gcc-nm, gcc-ranlib g++
sudo ln -s gcc-6 gcc
sudo ln -s gcc-ar-6 gcc-ar
sudo ln -s gcc-nm-6 gcc-nm
sudo ln -s gcc-ranlib-6 gcc-ranlib
sudo ln -s g++-6 g++
Install CUDA using .run files. Installing the latest driver (if required, download NVIDIA-Linux-xxxxxxx.run from Nvidia) would be better.
That's all.
I've tried to install using .deb files, but it causes package conflicts so I've switched to using this way.
Enjoy it!!
Enable multiverse repository, install nvidia drivers and nvidia-cuda-toolkit and gcc6 (preferably using update-alternatives to easily switch versions):
Alternatively you can follow Taylor's instructions:
sudo chmod +x The second method has the downside that it's not as easy to upgrade or remove.
I doubt the answers above qualify, because they seem to leave the system without the whole NVidia driver subsystem. I can guess why Cuda does not pull in the drivers, although I would probably prefer to have it otherwise. I am also not sure which is the proper way to get the latest driver, but right now this seems to do it:
sudo apt-get install nvidia-driver-390
This is what I did. There might be added extra stuff that I could have probably not had to do, but I am going to include it anyways.
First get the ppa repository drivers. (I would say this is required before installing, unless you want to risk some login loop of death).
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update
Then install the latest driver. I use the GUI updater for the most part called Software & Updates, in the Additional Drivers tab. As of today nvidia driver 396 is available.
Get g++-6 and gcc-6. (Required)
sudo apt install g++-6
sudo apt install gcc-6
You can try using nvidia-cuda-toolkit, but the paths to the libraries wasn't familiar to me. I didn't want to mess with it.
(I would probably skip this one, but go to it if other stuff is giving issues)
sudo apt install nvidia-cuda-toolkit
I ended up installing the 9.1 run file for Ubuntu 17.04. Download it. Mark the file as executable(I right click on the file in desktop). Go into the terminal and put. (Required)
./cuda_9.1.85_387.26_linux.run --override
It will install it using the new gcc compilers. It will ask you a bunch of questions, and it will want them answered immediately.
Answer yes to the unsupported confguration.
No to the nvidia driver.
Yes- to the toolkit
I used default install locations
After that is installed then make sure you set up your paths. The run file will give you a reminder, too. Also the nvidia documentation will tell you what to export.
echo 'export PATH=/usr/local/cuda-9.1/bin:$PATH' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda-9.1/lib64:$LD_LIBRARY_PATH' >> ~/.bash.rc
source ~/.bashrc
Finally you have to set up simlinks to gcc-6 and g++-6 or you will get a warning on compiling your own code.(Required)
sudo ln -s /usr/bin/gcc-6 /usr/local/cuda/bin/gcc
sudo ln -s /usr/bin/g++-6 /usr/local/cuda/bin/g++
Reboot the system. (Required)
nvidia-396 package is version 396.37 which doesn't work for my GeForce GTX 950. So I had to install 396.18 manually! So be sure to check the driver is the one you really need.
Let's see how my answer for 16.04 goes:
sudo sh cuda_7.5.18_linux.runNext step: Install cuDNN
$ nvidia-smi
Fri Jun 8 18:09:24 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.48 Driver Version: 390.48 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce 940MX Off | 00000000:02:00.0 Off | N/A |
| N/A 72C P0 N/A / N/A | 512MiB / 2004MiB | 90% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1031 G /usr/lib/xorg/Xorg 276MiB |
| 0 3072 G ...-token=0F06A89A68C1B8739F1AB9EF1C5654F9 232MiB |
+-----------------------------------------------------------------------------+
$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Wed_Apr_11_23:16:29_CDT_2018
Cuda compilation tools, release 9.2, V9.2.88
Warning: Do not install the display driver! (At least it didn't work on my Thinkpad T460p)
$ nvidia-smi
Sat Jun 9 08:55:30 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.48 Driver Version: 390.48 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce 940MX Off | 00000000:02:00.0 Off | N/A |
| N/A 68C P0 N/A / N/A | 595MiB / 2004MiB | 91% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1036 G /usr/lib/xorg/Xorg 350MiB |
| 0 2531 G ...-token=FA7CF967F32AD2277A4B0EA78D1CB8D4 241MiB |
+-----------------------------------------------------------------------------+
and
$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Sep__1_21:08:03_CDT_2017
Cuda compilation tools, release 9.0, V9.0.176
$ sudo apt-get install gcc-6 g++-6
$ sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-6 50
$ sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-6 50
Verify with
$ gcc -v
Using built-in specs.
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/usr/lib/gcc/x86_64-linux-gnu/6/lto-wrapper
Target: x86_64-linux-gnu
Configured with: ../src/configure -v --with-pkgversion='Ubuntu 6.4.0-17ubuntu1' --with-bugurl=file:///usr/share/doc/gcc-6/README.Bugs --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --prefix=/usr --with-as=/usr/bin/x86_64-linux-gnu-as --with-ld=/usr/bin/x86_64-linux-gnu-ld --program-suffix=-6 --program-prefix=x86_64-linux-gnu- --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --libdir=/usr/lib --enable-nls --with-sysroot=/ --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --with-default-libstdcxx-abi=new --enable-gnu-unique-object --disable-vtable-verify --enable-libmpx --enable-plugin --enable-default-pie --with-system-zlib --with-target-system-zlib --enable-objc-gc=auto --enable-multiarch --disable-werror --with-arch-32=i686 --with-abi=m64 --with-multilib-list=m32,m64,mx32 --enable-multilib --with-tune=generic --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu
Thread model: posix
gcc version 6.4.0 20180424 (Ubuntu 6.4.0-17ubuntu1)
My own experience in CUDA installation. Tested on Ubuntu 18.04. Task:
Related links:
Go to NVIDIA web-site - https://www.nvidia.com/Download/index.aspx and obtain the latest driver for your GPU. In my case it is:
Product Type: GeForce
Product Series: GeForce 10 Series
Product: GeForce GTX 1080 Ti
Operating System: Linux 64-bit
Language: English (US)
Press <SEARCH> button and check that founded driver is supporting your GPU
in "SUPPORTED PRODUCTS" tab.
Download it. In my case filename is: NVIDIA-Linux-x86_64-410.78.run
# Change permission to run and execute it
sudo chmod +x NVIDIA-Linux-x86_64-410.78.run
# Before installation install gcc and make packages:
sudo apt install gcc
sudo apt install make
It is better to run driver installation in the text mode.
For the text mode press <Ctrl>+<Alt>+<F3> and login to console.
Most likely you'll have problems with previously installed graphical driver called Nouveau.
# Remove Nouveau driver
sudo apt –purge remove xserver-xorg-video-nouveau
# Remove previously installed NVIDIA driver
sudo apt purge nvidia*
# Execute file and answer the questions during installation
sudo ./NVIDIA-Linux-x86_64-410.78.run
# Reboot Ubuntu
sudo reboot
# To check if installation is successful
nvidia-smi
You should see terminal output of Nvidia Drivers:
# Check again
lsmod | grep nouveau # should be zero output
lsmod | grep nvidia # should be non-zero output
# Another check. {tab} means you should press <Tab> button on your keyboard.
cat /proc/driver/nvidia/gpus/{tab}/information
You should see correct model of your GPU:
# Install gcc, kernel headers and development libraries
sudo apt install gcc-6 g++-6 linux-headers-$(uname -r) freeglut3-dev libxmu-dev libpcap-dev
Download CUDA toolkit from - https://developer.nvidia.com/cuda-downloads
Select: Linux, x86_64, Ubuntu, 18.04, runfile (local).
Download 2.0 GB file: cuda_10.0.130_410.48_linux.run
# Change permissions and run it
sudo chmod +x cuda_10.0.130_410.48_linux.run
sudo ./cuda_10.0.130_410.48_linux.run
If installation is successful, your should see the following output:
===========
= Summary =
===========
Toolkit: Installed in /usr/local/cuda-10.0
Samples: Not Selected
Please make sure that
- PATH includes /usr/local/cuda-10.0/bin
- LD_LIBRARY_PATH includes /usr/local/cuda-10.0/lib64, or, add /usr/local/cuda-10.0/lib64 to /etc/ld.so.conf and run ldconfig as root
To configure the CUDA environment for all users (and applications) on your system create two files (use sudo and a text editor of your choice)
# Create file cuda.sh
sudo touch /etc/profile.d/cuda.sh
# Open cuda.sh file
sudo nano /etc/profile.d/cuda.sh
# Add content to the file
export PATH=$PATH:/usr/local/cuda/bin
export CUDADIR=/usr/local/cuda
# Also create file cuda.conf
sudo touch /etc/ld.so.conf.d/cuda.conf
# Open cuda.conf file
sudo nano /etc/ld.so.conf.d/cuda.conf
# Add content to the file
/usr/local/cuda/lib64
# Restart ldconfig
sudo ldconfig
# Create symbolic links to GCC6 in the CUDA bin folder.
sudo ln -s /usr/bin/gcc-6 /usr/local/cuda-10.0/bin/gcc
sudo ln -s /usr/bin/g++-6 /usr/local/cuda-10.0/bin/g++
# Test CUDA by building the examples
# Copy the CUDA samples source directory to someplace in your home directory
# Go to the directory with the samples and run:
make -j4
# There could be compilation error for the samples
# Error: cannot find -lGL
# I was able to fix it by following the instructions in this link:
# http://techtidings.blogspot.com/2012/01/problem-with-libglso-on-64-bit-ubuntu.html (the final two commands)
sudo rm /usr/lib/x86_64-linux-gnu/libGL.so
sudo ln -s /usr/lib/libGL.so.1 /usr/lib/x86_64-linux-gnu/libGL.so
I suggest you to use the following link on Nvidia: toolkit-archive
Here you can choose version and then get all the commands needed.
