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How To Install CUDA on Ubuntu 22.04 LTS

Install CUDA on Ubuntu 22.04

In this tutorial, we will show you how to install CUDA on Ubuntu 22.04 LTS. For those of you who didn’t know, CUDA is a parallel computing platform and programming model developed by NVIDIA that enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). CUDA provides a small set of extensions to standard programming languages, like C, that enable a straightforward implementation of parallel algorithms. With CUDA C/C++, programmers can focus on the task of parallelization of the algorithms rather than spending time on their implementation. CUDA supports heterogeneous computation where applications use both the CPU and GPU. Serial portions of applications are run on the CPU, and parallel portions are offloaded to the GPU. The CPU and GPU are treated as separate devices that have their own memory spaces, allowing simultaneous computation on the CPU and GPU without contention for memory resources.

This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo‘ to the commands to get root privileges. I will show you the step-by-step installation of the CUDA Nvidia for GPU-accelerated on Ubuntu 22.04 (Jammy Jellyfish). You can follow the same instructions for Ubuntu 22.04 and any other Debian-based distribution like Linux Mint, Elementary OS, Pop!_OS, and more as well.


  • A server running one of the following operating systems: Ubuntu 22.04, 20.04, and any other Debian-based distribution like Linux Mint.
  • It’s recommended that you use a fresh OS install to prevent any potential issues.
  • SSH access to the server (or just open Terminal if you’re on a desktop).
  • An active internet connection. You’ll need an internet connection to download the necessary packages and dependencies for CUDA.
  • A non-root sudo user or access to the root user. We recommend acting as a non-root sudo user, however, as you can harm your system if you’re not careful when acting as the root.

Install CUDA on Ubuntu 22.04 LTS Jammy Jellyfish

Step 1. First, make sure that all your system packages are up-to-date by running the following apt commands in the terminal.

sudo apt update
sudo apt upgrade
sudo apt install build-essential

Step 2. Verify if the GPU Supports CUDA.

Ensure that your system has a compatible NVIDIA GPU by running the following command:

lspci | grep -i nvidia

If the output of the command shows a compatible NVIDIA GPU, you can proceed with the installation process.

Step 3. Installing CUDA on Ubuntu 22.04.

  • Method 1: Install CUDA using the default Ubuntu repository √

By default, the CUDA package is available on Ubuntu 20.04 base repository. Now we install the NVIDIA CUDA toolkit using the following command below:

udo apt install nvidia-cuda-toolkit
    • Method 2: Install CUDA using the official repository √
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt update
sudo apt install cudnn

To install for CUDA 11, perform the above configuration but install the CUDA 11 specific package:

sudo apt install cudnn-cuda-11

To install for CUDA 12, perform the above configuration but install the CUDA 12 specific package:

sudo apt install cudnn-cuda-12

Congratulations! You have successfully installed CUDA. Thanks for using this tutorial for installing the CUDA Nvidia for GPU-accelerated on Ubuntu 22.04 LTS Jammy Jellyfish system. For additional help or useful information, we recommend you check the official CUDA website.

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r00t is a seasoned Linux system administrator with a wealth of experience in the field. Known for his contributions to idroot.us, r00t has authored numerous tutorials and guides, helping users navigate the complexities of Linux systems. His expertise spans across various Linux distributions, including Ubuntu, CentOS, and Debian. r00t's work is characterized by his ability to simplify complex concepts, making Linux more accessible to users of all skill levels. His dedication to the Linux community and his commitment to sharing knowledge makes him a respected figure in the field.
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