I use wine-tkg (https://github.com/Frogging-Family/wine-tkg-git)
I use wine-tkg (https://github.com/Frogging-Family/wine-tkg-git)
Had no Problems with that in FF14, Remnant 2, Satisfactory, Supermarket Together and Subnautica Below Zero. Tested them all under Sway, not sure how much that influences these results.
From my experience using it: Mostly steam overlay and clipboard copy/paste not working. The rest seems fine.
I wish. Sadly the google play store requires monotonically increasing build numbers, so any option of resetting build numbers after major releases goes out the window.
Most of the stuff on GoG should fit the bill. You still can use it as a website to shop for a game and get a installer exe for it. Without any additional launcher.
As far as documented network go, I’ve never seen more than games listing a couple of ports for servers, never anything like ips or actual network protocol descriptions. I guess anything with user hostable dedicated servers should be fine.
Problem is that those old games have very low online population, so I’m not entirely sure how much “casual comraderie” you’ll find.
Bundling my two sata ssds into a single zfs volume, instead of manually moving stuff around between the nvme and two sata ssds. Combined with compression, and for my code folder deduplication it also resulted in a lot more usable space.
That’s an interesting approach. The Traditional way would be to go by game score like the AI Mario Projects. But I can see the value in prioritizing Bullet Avoidance over pure score.
Does your training Environment Model that shooting at enemies (eventually) makes them stop spitting out bullets? I also would assume that total survival time is a part of the score, otherwise the Boss would just be a loosing game score wise.
Normal business users are fine if the Company hasn’t deep-throated Microsoft. Our Company does all the business work with no windows machine in the whole company.
Being locked-in on Microsoft Office is a thing and not the fault of linux
Its highly dependent on implementation.
https://www.pugetsystems.com/labs/articles/stable-diffusion-performance-professional-gpus/
The experience on Linux is good (use docker otherwise python is dependency hell) but the basic torch based implementations (automatic, comfy) have bad performance. I have not managed to get shark to run on linux, the project is very windows focused and has no documentation for setup besides “run the installer”.
Basically all of the vram trickery in torch is dependent on xformers, which is low-level cuda code and therefore does not work on amd. And has a running project to port it, but it’s currently to incomplete to work.