Pardus Nvidia Installer

Introduction

Pardus Nvidia Installer is a graphical tool that helps you install and manage NVIDIA GPU drivers on Pardus. It detects your hardware, shows the drivers that fit it, and installs your choice with a single click — no terminal, no guesswork.

Features

• User-friendly interface
• Automatic detection of NVIDIA GPUs
• Suggests only the drivers that match your hardware
• Open-source nouveau driver as a fallback
• Optional NVIDIA CUDA repository for newer driver versions
• Disable/enable a secondary (discrete) GPU on hybrid laptops
• Safe by design: the primary display GPU is never removed
• Reboot prompt after changes that need one

Installation

Requirements

Before running Pardus Nvidia Installer, make sure your system has:

• python3: The application is built with Python 3.
• python3-gi: Lets Python use GTK and GNOME libraries.
• gir1.2-gtk-3.0: The GTK 3 graphical toolkit.
• gir1.2-vte-2.91: Embedded terminal used to show installation progress.
• gir1.2-polkit-1.0: PolicyKit integration for privileged actions.
• python3-apt: Used to query and install driver packages.
• pciutils: Provides the PCI device database (/usr/share/misc/pci.ids).
• gnupg: Verifies the NVIDIA repository signing key.

Usage

• From Package Manager

sudo apt install pardus-nvidia-installer

• From Source

# Clone the repository
git clone https://github.com/pardus/pardus-nvidia-installer
# Navigate to the project directory
cd pardus-nvidia-installer
# Install dependencies
sudo apt install python3 python3-gi gir1.2-gtk-3.0 gir1.2-vte-2.91 \
    gir1.2-polkit-1.0 python3-apt pciutils gnupg
# Run the application
python3 src/Main.py

Usage Guide

1. Launch the application. It scans your system and lists the NVIDIA GPUs it finds.
2. Pick a driver for your card (or choose the open-source nouveau driver).
3. Click Apply Changes and authenticate when prompted.
4. Watch the progress in the built-in terminal.
5. Reboot when asked, so the new driver loads.

Extra options

• NVIDIA repository: Turn on the switch to add NVIDIA's CUDA repository and get newer driver versions.
• Disable secondary GPU: On hybrid (Optimus) machines, disable the discrete NVIDIA card to save power. The card is removed at boot, while your primary display always stays active.