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How to Install NVIDIA Drivers on Fedora 44
kavin.dev · 2026-05-07 · via DEV Community

This guide covers the RPM Fusion method — the recommended and most maintainable way to install NVIDIA proprietary drivers on Fedora. No manual .run installers, no broken dnf states.

Prerequisites

Before you start, make sure your system is fully up to date

sudo dnf upgrade --refresh

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Reboot if there were kernel updates:

sudo reboot

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Step 1 — Enable RPM Fusion Repositories

Fedora doesn't ship proprietary drivers by default. RPM Fusion fills that gap. You need both the free and nonfree repos:

sudo dnf install \
  https://mirrors.rpmfusion.org/free/fedora/rpmfusion-free-release-$(rpm -E %fedora).noarch.rpm \
  https://mirrors.rpmfusion.org/nonfree/fedora/rpmfusion-nonfree-release-$(rpm -E %fedora).noarch.rpm

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## Step 2 — Install the NVIDIA Driver

Install the akmod-nvidia package. The akmod (automatic kernel module) system automatically rebuilds the driver whenever your kernel updates — saving you from the classic "driver broke after update" headache.

sudo dnf install akmod-nvidia

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*Optional *

If you need CUDA support (for ML, video encoding, etc.), add this too:

sudo dnf install xorg-x11-drv-nvidia-cuda

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Step 3 — Wait for the Kernel Module to Build

This is the step most guides skip over — and it's important.

After installation, the kernel module needs to compile. Do not reboot immediately. Wait for the build to complete:

sudo akmods --force
sudo dracut --force

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You can verify the module is built by running:

modinfo -F version nvidia

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You should see a version number like 570.xx.xx in the output. If you see an error instead, do not reboot yet — something went wrong.

Step 4 — Reboot

Once the module is confirmed built:

sudo reboot

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After rebooting, verify the driver is active:

nvidia-smi

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You should see your GPU listed with the driver version and memory usage.

Wrapping Up

The RPM Fusion + akmod-nvidia approach is the most reliable way to run NVIDIA drivers on Fedora. It survives kernel updates, works across Fedora versions, and doesn't require babysitting .run scripts.

Got questions or a specific GPU edge case? Drop them in the comments below. 🐧

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