Cuda installation guide linux

3.1.1.2. Runfile Installer

Perform the following steps to install CUDA and verify the installation.

3.1.2. Fedora

When installing CUDA on Fedora, you can choose between the Runfile Installer and the RPM Installer. The Runfile Installer is only available as a Local Installer. The RPM Installer is available as both a Local Installer and a Network Installer. The Network Installer allows you to download only the files you need. The Local Installer is a stand-alone installer with a large initial download. In the case of the RPM installers, the instructions for the Local and Network variants are the same. For more details, refer to the Linux Installation Guide.

3.1.2.1. RPM Installer

Perform the following steps to install CUDA and verify the installation.

1. Install the RPMFusion free repository to satisfy the Akmods dependency:
2. Install the repository meta-data, clean the dnf cache, and install CUDA:
3. Reboot the system to load the NVIDIA drivers.
4. Set up the development environment by modifying the PATH and LD_LIBRARY_PATH variables:
5. Install a writable copy of the samples then build and run the nbody sample:

3.1.2.2. Runfile Installer

Perform the following steps to install CUDA and verify the installation.

3.1.3. SUSE Linux Enterprise Server

When installing CUDA on SUSE Linux Enterprise Server, you can choose between the Runfile Installer and the RPM Installer. The Runfile Installer is only available as a Local Installer. The RPM Installer is available as both a Local Installer and a Network Installer. The Network Installer allows you to download only the files you need. The Local Installer is a stand-alone installer with a large initial download. In the case of the RPM installers, the instructions for the Local and Network variants are the same. For more details, refer to the Linux Installation Guide.

3.1.3.1. RPM Installer

Perform the following steps to install CUDA and verify the installation.

1. Install the repository meta-data, refresh the Zypper cache, and install CUDA:
2. Add the user to the video group:
3. Reboot the system to load the NVIDIA drivers.
4. Set up the development environment by modifying the PATH and LD_LIBRARY_PATH variables:
5. Install a writable copy of the samples then build and run the vectorAdd sample:

3.1.3.2. Runfile Installer

Perform the following steps to install CUDA and verify the installation.

1. Reboot into runlevel 3 by temporarily adding the number «3» and the word «nomodeset» to the end of the system’s kernel boot parameters.
2. Run the installer silently to install with the default selections (implies acceptance of the EULA):
3. Create an xorg.conf file to use the NVIDIA GPU for display:
4. Reboot the system to load the graphical interface.
5. Set up the development environment by modifying the PATH and LD_LIBRARY_PATH variables:
6. Install a writable copy of the samples then build and run the vectorAdd sample:

3.1.4. OpenSUSE

When installing CUDA on OpenSUSE, you can choose between the Runfile Installer and the RPM Installer. The Runfile Installer is only available as a Local Installer. The RPM Installer is available as both a Local Installer and a Network Installer. The Network Installer allows you to download only the files you need. The Local Installer is a stand-alone installer with a large initial download. In the case of the RPM installers, the instructions for the Local and Network variants are the same. For more details, refer to the Linux Installation Guide.

3.1.4.1. RPM Installer

Perform the following steps to install CUDA and verify the installation.

1. Install the repository meta-data, refresh the Zypper cache, and install CUDA:
2. Add the user to the video group:
3. Reboot the system to load the NVIDIA drivers.
4. Set up the development environment by modifying the PATH and LD_LIBRARY_PATH variables:
5. Install a writable copy of the samples then build and run the nbody sample:

3.1.4.2. Runfile Installer

Perform the following steps to install CUDA and verify the installation.

3.1.5. Pip Wheels — Linux

NVIDIA provides Python Wheels for installing CUDA through pip, primarily for using CUDA with Python. These packages are intended for runtime use and do not currently include developer tools (these can be installed separately).

Please note that with this installation method, CUDA installation environment is managed via pip and additional care must be taken to set up your host environment to use CUDA outside the pip environment.

The following metapackages will install the latest version of the named component on Linux for the indicated CUDA version. «cu11» should be read as «cuda11».

• nvidia-cuda-runtime-cu11
• nvidia-cuda-cupti-cu11
• nvidia-cuda-nvcc-cu11
• nvidia-nvml-dev-cu11
• nvidia-cuda-nvrtc-cu11
• nvidia-nvtx-cu11
• nvidia-cuda-sanitizer-api-cu11
• nvidia-cublas-cu11
• nvidia-cufft-cu11
• nvidia-curand-cu11
• nvidia-cusolver-cu11
• nvidia-cusparse-cu11
• nvidia-npp-cu11
• nvidia-nvjpeg-cu11

These metapackages install the following packages:

• nvidia-nvml-dev-cu114
• nvidia-cuda-nvcc-cu114
• nvidia-cuda-runtime-cu114
• nvidia-cuda-cupti-cu114
• nvidia-cublas-cu114
• nvidia-cuda-sanitizer-api-cu114
• nvidia-nvtx-cu114
• nvidia-cuda-nvrtc-cu114
• nvidia-npp-cu114
• nvidia-cusparse-cu114
• nvidia-cusolver-cu114
• nvidia-curand-cu114
• nvidia-cufft-cu114
• nvidia-nvjpeg-cu114

Conda

The Conda packages are available at https://anaconda.org/nvidia.

To perform a basic install of all CUDA Toolkit components using Conda, run the following command:

To uninstall the CUDA Toolkit using Conda, run the following command:

3.1.7. WSL

These instructions must be used if you are installing in a WSL environment. Do not use the Ubuntu instructions in this case.

Install repository meta-data

When installing using the local repo:

When installing using the network repo:

Pin file to prioritize CUDA repository:

Update the Apt repository cache and install CUDA

3.1.8. Ubuntu

When installing CUDA on Ubuntu, you can choose between the Runfile Installer and the Debian Installer. The Runfile Installer is only available as a Local Installer. The Debian Installer is available as both a Local Installer and a Network Installer. The Network Installer allows you to download only the files you need. The Local Installer is a stand-alone installer with a large initial download. In the case of the Debian installers, the instructions for the Local and Network variants are the same. For more details, refer to the Linux Installation Guide.

3.1.8.1. Debian Installer

Perform the following steps to install CUDA and verify the installation.

1. Install the repository meta-data, install GPG key, update the apt-get cache, and install CUDA:
2. Reboot the system to load the NVIDIA drivers.
3. Set up the development environment by modifying the PATH and LD_LIBRARY_PATH variables:
4. Install a writable copy of the samples then build and run the nbody sample:

3.1.8.2. Runfile Installer

Perform the following steps to install CUDA and verify the installation.

3.1.9. Debian

When installing CUDA on Debian 10, you can choose between the Runfile Installer and the Debian Installer. The Runfile Installer is only available as a Local Installer. The Debian Installer is available as both a Local Installer and a Network Installer. The Network Installer allows you to download only the files you need. The Local Installer is a stand-alone installer with a large initial download. For more details, refer to the Linux Installation Guide.

3.1.9.1. Debian Installer

Perform the following steps to install CUDA and verify the installation.

1. Install the repository meta-data, install GPG key, update the apt-get cache, and install CUDA:
2. Reboot the system to load the NVIDIA drivers.
3. Set up the development environment by modifying the PATH and LD_LIBRARY_PATH variables:
4. Install a writable copy of the samples then build and run the nbody sample:

3.1.9.2. Runfile Installer

Perform the following steps to install CUDA and verify the installation.

3.2. Linux POWER8

For development on the POWER8 architecture.

3.2.1. Ubuntu

When installing CUDA on Ubuntu on POWER8, you must use the Debian Installer. The Debian Installer is available as both a Local Installer and a Network Installer. The Network Installer allows you to download only the files you need. The Local Installer is a stand-alone installer with a large initial download. The instructions for the Local and Network variants are the same. For more details, refer to the Linux Installation Guide.

3.2.1.1. Debian Installer

Perform the following steps to install CUDA and verify the installation.

1. Install the repository meta-data, update the apt-get cache, and install CUDA:
2. Reboot the system to load the NVIDIA drivers.
3. Set up the development environment by modifying the PATH and LD_LIBRARY_PATH variables:
4. Install a writable copy of the samples then build and run the vectorAdd sample:

3.2.2. Redhat / CentOS

When installing CUDA on Redhat on POWER8, you must use the RPM Installer. The RPM Installer is available as both a Local Installer and a Network Installer. The Network Installer allows you to download only the files you need. The Local Installer is a stand-alone installer with a large initial download. The instructions for the Local and Network variants are the same. For more details, refer to the Linux Installation Guide.

3.2.2.1. RPM Installer

Perform the following steps to install CUDA and verify the installation.

1. Install EPEL to satisfy the DKMS dependency by following the instructions at EPEL’s website.
2. Install the repository meta-data, clean the yum cache, and install CUDA:
3. Reboot the system to load the NVIDIA drivers.
4. Set up the development environment by modifying the PATH and LD_LIBRARY_PATH variables:
5. Install a writable copy of the samples then build and run the vectorAdd sample:

Conda

The Conda packages are available at https://anaconda.org/nvidia.

To perform a basic install of all CUDA Toolkit components using Conda, run the following command:

To uninstall the CUDA Toolkit using Conda, run the following command:

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