3.10.1. Prepare Ubuntu

1. Perform the pre-installation actions.
2. The kernel headers and development packages for the currently running kernel can be installed with:

   sudo apt-get install linux-headers-$(uname -r)
   

3. Remove Outdated Signing Key:

   sudo apt-key del 7fa2af80
   

4. Choose an installation method: local repo or network repo.

3.10.2. Local Repo Installation for Ubuntu

1. Install local repository on file system:

   sudo dpkg -i cuda-repo-<distro>_<version>_<architecture>.deb
   

2. Enroll ephemeral public GPG key:

   sudo cp /var/cuda-repo-<distro>-X-Y-local/cuda-*-keyring.gpg /usr/share/keyrings/
   

3. Add pin file to prioritize CUDA repository:

   wget https://developer.download.nvidia.com/compute/cuda/repos/<distro>/x86_64/cuda-<distro>.pin
    sudo mv cuda-<distro>.pin /etc/apt/preferences.d/cuda-repository-pin-600
   

3.10.3. Network Repo Installation for Ubuntu

The new GPG public key for the CUDA repository is 3bf863cc. This must be enrolled on the system, either using the cuda-keyring package or manually; the apt-key command is deprecated and not recommended.

1. Install the new cuda-keyring package:

   wget https://developer.download.nvidia.com/compute/cuda/repos/$distro/$arch/cuda-keyring_1.1-1_all.deb
   sudo dpkg -i cuda-keyring_1.1-1_all.deb
   

   where $distro/$arch should be replaced by one of the following:

   • ubuntu1604/x86_64
   • ubuntu1804/cross-linux-sbsa
   • ubuntu1804/ppc64el
   • ubuntu1804/sbsa
   • ubuntu1804/x86_64
   • ubuntu2004/cross-linux-aarch64
   • ubuntu2004/arm64
   • ubuntu2004/cross-linux-sbsa
   • ubuntu2004/sbsa
   • ubuntu2004/x86_64
   • ubuntu2204/sbsa
   • ubuntu2204/x86_64

   Note

   arm64-Jetson repos:

   • native: $distro/arm64
   • cross: $distro/cross-linux-aarch64

   sudo dpkg -i cuda-keyring_1.1-1_all.deb
   

2. Or if you are unable to install the cuda-keyring package, you can optionally:
   1. Enroll the new signing key manually:

      wget https://developer.download.nvidia.com/compute/cuda/repos/<distro>/<arch>/cuda-archive-keyring.gpg
      sudo mv cuda-archive-keyring.gpg /usr/share/keyrings/cuda-archive-keyring.gpg
      

   2. Enable the network repository:

      echo "deb [signed-by=/usr/share/keyrings/cuda-archive-keyring.gpg] https://developer.download.nvidia.com/compute/cuda/repos/<distro>/<arch>/ /" | sudo tee /etc/apt/sources.list.d/cuda-<distro>-<arch>.list
      

   3. Add pin file to prioritize CUDA repository:

      wget https://developer.download.nvidia.com/compute/cuda/repos/<distro>/<arch>/cuda-<distro>.pin
      sudo mv cuda-<distro>.pin /etc/apt/preferences.d/cuda-repository-pin-600
      

3.10.4. Common Installation Instructions for Ubuntu

These instructions apply to both local and network installation for Ubuntu.

1. Update the Apt repository cache:

   sudo apt-get update
   

2. Install CUDA SDK:

   Note

   These two commands must be executed separately.

   sudo apt-get install cuda-toolkit
   

   To include all GDS packages:

   sudo apt-get install nvidia-gds
   

3. Reboot the system

   sudo reboot
   

13.1.1. Environment Setup

The PATH variable needs to include export PATH=/usr/local/cuda-12./bin${PATH:+:${PATH}}. Nsight Compute has moved to /opt/nvidia/nsight-compute/ only in rpm/deb installation method. When using .run installer it is still located under /usr/local/cuda-12.2/.

To add this path to the PATH variable:

export PATH=/usr/local/cuda-12.2/bin${PATH:+:${PATH}}

In addition, when using the runfile installation method, the LD_LIBRARY_PATH variable needs to contain /usr/local/cuda-12.2/lib64 on a 64-bit system, or /usr/local/cuda-12.2/lib on a 32-bit system

• To change the environment variables for 64-bit operating systems:

  export LD_LIBRARY_PATH=/usr/local/cuda-12.2/lib64\
                           ${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
  

• To change the environment variables for 32-bit operating systems:

  export LD_LIBRARY_PATH=/usr/local/cuda-12.2/lib\
                           ${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
  

Note that the above paths change when using a custom install path with the runfile installation method.