Guides - NVIDIA Driver CUDA Installation

Virtual machines equipped with NVIDIA Quadro GPUs. Ideal for complex processing and GPU-optimized workloads.

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Note
If you are using Ubuntu 20.04, Ubuntu 18.04, CentOS 7, or OpenSUSE, follow the steps below. If you are using Debian 9, proceed to the Install Manually instructions instead.

In this section, you install the GPU driver using NVIDIA’s CUDA Toolkit.

For a full list of native Linux distribution, and kernel support in CUDA, see the CUDA toolkit documentation.

For instructions to update the kernel, see Updating Linode’s Existing Kernel, to change the kernel, see Change Your Linode’s Kernel.

  1. Visit the CUDA Downloads Page and navigate to the Select Target Platform section.

  2. Provide information about your target platform by following the prompts and selecting the appropriate options. After it is complete, you gain access to the correct download link for the CUDA Toolkit installer. Use the table below for guidance on how to respond to each prompt:

    PromptSelection
    Operating SystemLinux
    Architecturex86_64
    DistributionYour Linode’s distribution
    VersionYour distribution’s version
    Installer typerunfile (local)

    A completed set of selections resemble the following example:

  3. A Download Installer section appears below the Select Target Platform section. The green Download button in this section links to the installer file. Copy this link to your computer’s clipboard:

  4. On your Linode, update and install GNU Compiler Collection (GCC):

       apt update && apt install gcc make
    
  5. On your Linode, enter the wget command and paste in the download link you copied. This example shows the syntax for the command, but you should make sure to use the download link appropriate for your Linode:

    wget https://developer.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda_10.1.168_418.67_linux.run
    
  6. After wget completes, run your version of the installer script to begin the installation process:

     sudo sh cuda_*_linux.run
    
    Note
    The installer takes a few moments to run before generating any output.
  7. Read and accept the License Agreement.

  8. Choose to install the CUDA Toolkit in its entirety or partially. To use your GPU, you only need to install the driver. Optionally, you can choose to install the full toolkit to gain access to a set of tools that empowers you to create GPU-accelerated applications.

    To only install the driver, uncheck all options directly below the Driver option. A screen similar to the following appears:

  9. After you have checked your desired options, select Install to begin the installation. A full install takes several minutes to complete.

    Note
    Installation on CentOS and Fedora fails following this step, because the installer requires a reboot to fully remove the default Nouveau driver. If you are running either of these operating systems, reboot the Linode, run the installer again, to install successfully.
  10. When the installation has completed, run the nvidia-smi command to make sure that you’re currently using your NVIDIA GPU device with its associated driver:

     nvidia-smi
    

    You should see a similar output:

     +-----------------------------------------------------------------------------+
     | NVIDIA-SMI 418.67       Driver Version: 418.67       CUDA Version: 10.1     |
     |-------------------------------+----------------------+----------------------+
     | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
     | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
     |===============================+======================+======================|
     |   0  Quadro RTX 6000     Off  | 00000000:00:03.0 Off |                  Off |
     | 34%   57C    P0    72W / 260W |      0MiB / 24190MiB |      0%      Default |
     +-------------------------------+----------------------+----------------------+
    
     +-----------------------------------------------------------------------------+
     | Processes:                                                       GPU Memory |
     |  GPU       PID   Type   Process name                             Usage      |
     |=============================================================================|
     |  No running processes found                                                 |
     +-----------------------------------------------------------------------------+
    

    In the output, you can see that the driver is installed and functioning correctly, the version of CUDA attributed to it, and other useful statistics.

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