How to Install NVIDIA Drivers on Ubuntu 24.04: Step-by-Step Guide

This step-by-step tutorial will show you how to install NVIDIA Drivers on Ubuntu 24.04 using GUI, CLI, PPA, or CUDA. Boost performance for gaming, AI, and GPU tasks. We explore both graphical and command-line approaches, along with troubleshooting tips for common installation issues.

Installing the correct drivers is key to getting the most out of your NVIDIA graphics card. They improve graphics quality and overall performance and unlock important features like GPU acceleration, which makes a big difference if you're into gaming, 3D modeling, or running demanding applications. If you’re working with machine learning or scientific simulations, these drivers are also necessary for using CUDA.

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Steps to installing NVIDIA drivers on Ubuntu 24.04:

Method 1: Using the Ubuntu drivers tool (recommended)
Method 2: Installing from the official NVIDIA website
Method 3: Using the graphics drivers Personal Package Archive (PPA)
Method 4: Installing via CUDA PPA (for CUDA development)

At the end of these steps, you should have NVIDIA drivers installed on your system.

Timecodes:

0:00 Introduction

0:35 Prerequisites

1:01 Verify GPU card installed

1:30 Remove conflicting drivers

1:57 Update the system

2:17 Adding required repositories\

3:27 Kernel Compatibility

4:24 Method 1: Using the Ubuntu drivers tool (recommended)

6:24 Reboot the system

6:44 Verify installation

7:21 Method 2: Installing from the official NVIDIA website

15:24 Reboot the system

15:40 Verify installation

16:01 Uninstall NVIDIA drivers manually

17:54 Method 3: Using the graphics drivers Personal Package Archive (PPA)

20:17 Reboot the system

20:32 Verify installation

21:02 Method 4: Installing via CUDA PPA (for CUDA development)

26:45 Reboot the system

26:55 Verify installation

After installing NVIDIA drivers on Ubuntu 24.04, you’re all set to tap into the full potential of GPU computing. Cherry Servers’ GPU Dedicated Servers offer the performance and flexibility you need for demanding workloads like AI training, deep learning, and 3D rendering. Customize your hardware, scale effortlessly, and launch within 2 to 24 hours—perfect for GPU-accelerated tasks on Linux.

Explore here 👉 https://www.cherryservers.com/dedicat...

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