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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.



  • Some books just beg to be read again and again. I am on my 3rd copy of The Lord of the Rings, 2nd of Dune. The advent of good reading apps, like fbreader on Android saved my Ian M. Banks collection from a similar fate. That said my copy of The Algebrist is starting to show its age.

    So yes rereading a good book can be fun.


  • 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.