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-[Atomic Desktops for Fedora](https://fedoraproject.org/atomic-desktops/)
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-[Fedora Spins](https://fedoraproject.org/spins)
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-[Other Distributions](https://containertoolbx.org/distros/), including `Red Hat Enterprise Linux >= 8.`, `Arch Linux`, and `Ubuntu`.
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-[Other Distributions](https://containertoolbx.org/distros/), including `Red Hat Enterprise Linux >= 8.5`, `Arch Linux`, and `Ubuntu`.
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## Table of Contents
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-[Prerequisites](#prerequisites)
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-[Monitoring NVIDIA CUDA Repositories](#monitoring-nvidia-cuda-repositories)
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-[Using the Fedora 39 CUDA Repository](#using-the-fedora-39-cuda-repository)
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-[Using the Fedora 41 CUDA Repository](#using-the-fedora-41-cuda-repository)
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-[Creating a Fedora Toolbox Environment](#creating-a-fedora-toolbox-environment)
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-[Installing Essential Development Tools](#installing-essential-development-tools)
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-[Adding the CUDA Repository](#adding-the-cuda-repository)
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## Prerequisites
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-**Toolbox Installed on the Host System**`Fedora Silverblue` and `Fedora Workstation` both have toolbox by default, other distributions may need to install the [toolbox package](https://containertoolbx.org/install/).
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-**NVIDIA Drivers and Graphics Card installed on Host System (optional)** To run CUDA program, such as `llama.cpp`, the host should be setup to access your NVIDIA hardware. Fedora Hosts can use the [RPM Fusion Repository](https://rpmfusion.org/Howto/NVIDIA).
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-**NVIDIA Drivers and Graphics Card installed on Host System (recommended)** To run CUDA program, such as `llama.cpp`, the host should be setup to access your NVIDIA hardware. Fedora Hosts can use the [RPM Fusion Repository](https://rpmfusion.org/Howto/NVIDIA).
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-**Internet connectivity** to download packages.
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### Monitoring NVIDIA CUDA Repositories
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### Using the Fedora 41 CUDA Repository
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Before proceeding, it is advisable to check if NVIDIA has updated their CUDA repositories for your Fedora version. NVIDIA's repositories can be found at:
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The latest release is 41.
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-[Fedora 40 CUDA Repository](https://developer.download.nvidia.com/compute/cuda/repos/fedora40/x86_64/)
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-[Fedora 41 CUDA Repository](https://developer.download.nvidia.com/compute/cuda/repos/fedora41/x86_64/)
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As of the latest update, these repositories do not contain the `cuda` meta-package or are missing essential components.
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### Using the Fedora 39 CUDA Repository
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Since the newer repositories are incomplete, we'll use the Fedora 39 repository:
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-[Fedora 39 CUDA Repository](https://developer.download.nvidia.com/compute/cuda/repos/fedora39/x86_64/)
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**Note:** Fedora 39 is no longer maintained, so we recommend using a toolbox environment to prevent system conflicts.
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**Note:** We recommend using a toolbox environment to prevent system conflicts.
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## Creating a Fedora Toolbox Environment
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This guide focuses on Fedora hosts, but with small adjustments, it can work for other hosts. Using a Fedora 39 toolbox allows us to install the necessary packages without affecting the host system.
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This guide focuses on Fedora hosts, but with small adjustments, it can work for other hosts. Using the Fedora Toolbox allows us to install the necessary packages without affecting the host system.
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**Note:** Toolbox is available for other systems, and even without Toolbox, it is possible to use Podman or Docker.
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We do not recommend installing on the host system, as Fedora 39 is out-of-maintenance, and instead you should upgrade to a maintained version of Fedora for your host.
After adding the repository, synchronize the package manager again:
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## Installing `nvidia-driver-libs`
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Attempt to install `nvidia-driver-libs`:
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We need to detect if the host is supplying the [NVIDIA driver libraries into the toolbox](https://github.com/containers/toolbox/blob/main/src/pkg/nvidia/nvidia.go).
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```bash
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sudo dnf install nvidia-driver-libs
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ls ls /usr/lib64/libcuda.so.1
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```
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**Explanation:**
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-`nvidia-driver-libs` contains necessary NVIDIA driver libraries required by CUDA.
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- This step might fail due to conflicts with existing NVIDIA drivers on the host system.
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## Manually Resolving Package Conflicts
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If the installation fails due to conflicts, we'll manually download and install the required packages, excluding conflicting files.
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-`nvidia-driver-libs` contains necessary NVIDIA driver libraries required by CUDA,
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on hosts with NVIDIA drivers installed the Fedora Container will supply the host libraries.
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### 1. Download the `nvidia-driver-libs` RPM
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### Install Nvidia Driver Libraries on Guest (if `libcuda.so.1` was NOT found).
You should receive a message indicating the package is already installed:
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```
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Package nvidia-driver-libs-3:560.35.05-1.fc39.x86_64 is already installed.
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Dependencies resolved.
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Updating and loading repositories:
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Repositories loaded.
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Package "nvidia-driver-libs-3:570.86.10-1.fc41.x86_64" is already installed.
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Nothing to do.
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Complete!
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```
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## Installing the CUDA Meta-Package
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```
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nvcc: NVIDIA (R) Cuda compiler driver
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Copyright (c) 2005-2024 NVIDIA Corporation
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Built on Tue_Oct_29_23:50:19_PDT_2024
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Cuda compilation tools, release 12.6, V12.6.85
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Build cuda_12.6.r12.6/compiler.35059454_0
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Copyright (c) 2005-2025 NVIDIA Corporation
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Built on Wed_Jan_15_19:20:09_PST_2025
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Cuda compilation tools, release 12.8, V12.8.61
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Build cuda_12.8.r12.8/compiler.35404655_0
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```
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This output confirms that the CUDA compiler is accessible and indicates the installed version.
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## Conclusion
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You have successfully set up CUDA on Fedora within a toolbox environment using the Fedora 39 CUDA repository. By manually resolving package conflicts and configuring the environment, you can develop CUDA applications without affecting your host system.
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You have successfully set up CUDA on Fedora within a toolbox environment using the Fedora 41 CUDA repository. By manually updating the RPM db and configuring the environment, you can develop CUDA applications without affecting your host system.
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## Troubleshooting
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-**Installation Failures:**
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- If you encounter errors during installation, carefully read the error messages. They often indicate conflicting files or missing dependencies.
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- Use the `--excludepath` option with `rpm` to exclude conflicting files during manual installations.
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- You may use the `--excludepath` option with `rpm` to exclude conflicting files during manual RPM installations.
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-**Rebooting the Container:**
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- Sometimes there may be a bug in the NVIDIA driver host passthrough (such as missing a shared library). Rebooting the container may solve this issue:
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-**Driver Conflicts:**
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- Since the host system may already have NVIDIA drivers installed, conflicts can arise. Using the toolbox environment helps isolate these issues.
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```bash
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# on the host system
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podman container restart fedora-toolbox-41-cuda
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```
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-**Environment Variables Not Set:**
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- If `nvcc` is not found after installation, ensure that `/usr/local/cuda/bin` is in your `PATH`.
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