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Joined 2 years ago
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Cake day: June 12th, 2023

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  • Agreed, I installed Ubuntu 22.04 last week to play with stable diffusion. Decided to have a quick look at steam / proton and was blown away with how easily it works. Fallput 76, my primary online game installed and run with almost no hassle. I even managed to get a long time irritation with runaway frame rates fixed.

    The only glitch that remains unsolved is a hang on exit. Which is a known issue.



  • Well if you can deel with a very crusty Latvian ass, look for The Yamiks on youtube. He loves / hates the game, but knowledge is good. Agreed with the tutorials mentioned by @HidingCat.
    Another YouTube channel worth exploring is Better Atronomy. A level headed German sounding bloke who is very technical.

    There is an Elite Dangerous magazine here that had not taken off yet, but I am monitoring it from time to time. Ask questions.

    Open can be dangerous, but the galaxy is vast. Expect ganking in high traffic systems. Fly in either Private or Solo when visiting engineering systems. There is a new commander safe zone that should at least get you started.

    The game, is at best incomplete. I use inara.cz extensively as a companion resource. But that is for when you have left the starter area.

    Never Fly without a Rebuy is a motto to live by.

    Eddit to remove mention of eddb.io, which is no more. Inara does most things eddb did almost as well.





  • Edit: Wrote this on mobile. The mobile U/I is not always clear as to the source magazine where the post came from, so I missed the Linux in there. Things are not as dire on Linux as on Windows for AMD, so my assessment may be a bit pessimistic. With AMD’s focus on the data centre for machine learning, the linux driver stack seems fairly well supported.

    I spent the last few days getting stable defusion and pytorch working on my Radeon 6800 XT in windows. The machineml distribution of stable diffusion runs at about 1/4 of the speed of raw rocm when I compare it to the shark tooling, which supports rocm via docker on windows.

    Expect tooling to be clinky and that you will need to compile everything yourself on linux. Prebuilt stuff will all be for Nvidia.

    Amd is pushing hard into the ai space, but aiming at datacenter users. They are rumoured to be building rocm for their windows drivers, but when that will ship is anyone’s guess.

    So right now, if you need to hit the ground running for your academic work, I would recommend NVidia, as much as it pains me, a long time AMD user.