Proton-GE is available as Flatpak directly: https://github.com/flathub/com.valvesoftware.Steam.CompatibilityTool.Proton-GE
After installation it will be picked up by the flatpak version of Steam automatically.
Proton-GE is available as Flatpak directly: https://github.com/flathub/com.valvesoftware.Steam.CompatibilityTool.Proton-GE
After installation it will be picked up by the flatpak version of Steam automatically.
If you use Steam in a flatpak, you can download the Proton-GE flatpak, which updates automatically.
Steam automatically uses the native version if one is available, unless you override the compatibility tool to be Proton instead of the Linux runtime on a per-game basis. Nothing changed in that regard.
I don't have a Behringer UV1 but I do have an UMC404HD and an UMC202HD. Both work flawlessly on Linux out of the box.
Doesn't work for me unfortunately, always falls back to CPU ever since the packages were split up.
Looks like you're right.
I switched to it when Alpaca stopped working on AMD GPUs and was under the impression it is open source.
Distrobox is much more suitable for installing RPMs on immutable distros, unless they need deep system access (e.g. Docker).
Bazzite even ships with DistroShelf for that purpose.
Just create a Fedora container for RPMs and a Ubuntu/Debian container for DEBs and install them there.
LM Studio is by far my favorite. Supports all GPUs out of the box on Linux and has tons of options.
Anyone wanna yell at me for being an idiot and doing everything wrong?
Not yell, but: Jellyfin is dropping HTTPS support with a future update so you might want to read up on reverse proxies before then.
Additionally, you might want to check if Shodan has your Jellyfin instance listed: https://www.shodan.io/
Unironically ending your Github comment with a Bible reference has to be the weirdest thing I have seen on Github, and I have seen some weird comments.
Apparently it's Hyundai, not Samsung. The article mentions Samsung and then links to an article about Hyundai's robots.
Nonetheless, those things are surprisingly fast. Assuming they work as well as in that presentation.