126 lines
4 KiB
Markdown
126 lines
4 KiB
Markdown
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# Nvidia 470 datacenter drivers
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**Note:** Desktop drivers and datacenter drivers are different.
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## Debian
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This hasn't yet been tested. If you have tested it, please open a PR to update this section.
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### Add apt repos
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**You can skip this if you already have the repositories enabled**
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To add the non-free and contrib repos, edit `/etc/apt/sources.list` and add `non-free contrib` to the end of each line, like this:
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```txt
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deb http://deb.debian.org/debian/ bullseye main non-free contrib
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deb-src http://deb.debian.org/debian/ bullseye main non-free contrib
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```
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Then, run `apt update`
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### Installation
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To install the driver:
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```sh
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apt install nvidia-tesla-470-driver
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```
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And to install CUDA:
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```bash
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apt install nvidia-cuda-dev nvidia-cuda-toolkit
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```
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### Links
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- [Driver Install Guide](https://wiki.debian.org/NvidiaGraphicsDrivers) ([Internet Archive Link](https://web.archive.org/web/20221123184836/https://wiki.debian.org/NvidiaGraphicsDrivers))
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## Fedora
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This guide uses the RPM Fusion repositories, and if you install CUDA, it uses Nvidia repositories as well. Note that this guide is only compatible with Fedora 35+, I'm not sure about RHEL versions.
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### Add RPM Fusion repository
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**You can skip this if you already have the repository installed.**
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To add the RPM Fusion repository:
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```bash
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# Add gpg key
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sudo dnf install distribution-gpg-keys
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sudo rpmkeys --import /usr/share/distribution-gpg-keys/rpmfusion/RPM-GPG-KEY-rpmfusion-free-fedora-$(rpm -E %fedora)
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# Add repo with gpg check
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sudo dnf --setopt=localpkg_gpgcheck=1 install https://mirrors.rpmfusion.org/free/fedora/rpmfusion-free-release-$(rpm -E %fedora).noarch.rpm
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```
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### Install Driver
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First, update everything, and reboot if you're not on the latest kernel.
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```bash
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dnf update -y
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```
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Then, install the driver:
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```bash
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dnf install akmod-nvidia-470xx
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```
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_**Do not reboot yet.**_
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Before rebooting, use `top` or `ps` to make sure there is no `akmods`, `cc*`, `kthreadd`, or `gcc*` process running (`*` is either nothing or a number)—or anything using tons of CPU that you don't expect.
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*Note:* `nvidia-smi` and other tools are not included with the driver. For that, you need to install CUDA.
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### Install CUDA
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Install packages needed for CUDA with:
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```bash
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export FEDORA_VERSION=$(rpm -E %fedora) # Nvidia's repo doesn't support Fedora 38 yet, so change this to 37 if you're on Fedora 38
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dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/fedora35/x86_64/cuda-fedora${FEDORA_VERSION}.repo
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dnf clean all
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dnf module disable nvidia-driver
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dnf -y install cuda
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```
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*Note:* Don't re-enable `nvidia-driver`
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### Problems
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#### Suspend Issues
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I had issues with my K80 not working after being suspended. For example, `torch.cuda.is_available()` would give an error and return False, rather than saying True.
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To fix this, install `xorg-x11-drv-nvidia-470xx-power`
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```bash
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dnf install xorg-x11-drv-nvidia-470xx-power
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```
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---
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#### CUDA is higher version than driver
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Sometimes the driver in the CUDA repo, and therefore dependencies for CUDA are of a later version than the driver. To fix this, run:
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```bash
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dnf module enable nvidia-driver -y && dnf download cuda-drivers && dnf module disable nvidia-driver -y
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rpm -Uvh cuda-drivers*.rpm --nodeps
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dnf update
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```
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### More stuff
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Why not install `xorg-x11-drv-nvidia-470xx`?
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- That's the _display_ driver, not the data center driver. It is the same version number, but is not the same.
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### Links
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- [Repo Config](https://rpmfusion.org/Configuration) ([Internet Archive Link](https://web.archive.org/web/20221111180224/https://rpmfusion.org/Configuration))
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- [Verify Repo Signing Keys](https://rpmfusion.org/keys) ([Internet Archive Link](https://web.archive.org/web/20221111180744/https://rpmfusion.org/keys))
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- [NVIDIA Guide](https://rpmfusion.org/Howto/NVIDIA) ([Internet Archive Link](https://web.archive.org/web/20221111181211/https://rpmfusion.org/Howto/NVIDIA))
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- [CUDA Guide](https://rpmfusion.org/Howto/CUDA) ([Internet Archive Link](https://web.archive.org/web/20221111181243/https://rpmfusion.org/Howto/CUDA))
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