.-/+oossssoo+/-. x@furaar
`:+ssssssssssssssssss+:` --------
-+ssssssssssssssssssyyssss+- OS: Ubuntu 22.04.4 LTS x86_64
.ossssssssssssssssssdMMMNysssso. Host: redacted
/ssssssssssshdmmNNmmyNMMMMhssssss/ Kernel: 6.5.0-45-generic
+ssssssssshmydMMMMMMMNddddyssssssss+ Uptime: 2 hours, 40 mins Date of the guide : September, 2025
In this post, I will provide the solution that worked on my system on how to install Radeon Open Compute (ROCm) on Arch (linux-6.6.7.arch1-1) for RX 6900 XT (Should work on other 6000 series). ROCm is an open-source software platform that allows GPU-accelerated computation. This tool is a prerequist to use GPU Acceleration on TensorFlow or PyTorch. In this guide I will use Paru as my AUR package helper, feel free to use any other (https://wiki.archlinux.org/title/AUR_helpers). I will assume you have a working operating system and know what you do with it (Otherwise Arch will be painfull for you).
Caution
All actions are at your own risk! This has been tested by me, but does not guarantee your success.
Read everything at least once before actually following the guide. If something goes wrong, stop immediately. Consider starting from the beginning.
| local M = { | |
| "neoclide/coc.nvim", | |
| branch = "master", | |
| build = "yarn install --frozen-lockfile", | |
| } | |
| M.config = function() | |
| -- Some servers have issues with backup files, see #649 | |
| vim.opt.backup = false | |
| vim.opt.writebackup = false |