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Cake day: July 23rd, 2023

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  • Wayland was subject to “first mover disadvantage” for a long time. Why be the first to switch and have to solve all the problems? Instead be last and everyone else will do the hard work for you.

    But without big players moving to it those issues never get fixed. And users rightly should not be forced to migrate to a broken system that isn’t ready. People just want a system that works right?

    Eventually someone had to decide it was ‘good enough’ and try an industry wide push to move away from a hybrid approach that wastes developer time and confuses users.










  • I’ve been testing Ollama in Docker/WSL with the idea that if I like it I’ll eventually move my GPU into my home server and get an upgrade for my gaming pc. When you run a model it has to load the whole thing into VRAM. I use the 8gb models so it takes 20-40 seconds to load the model and then each response is really fast after that and the GPU hit is pretty small. After I think five minutes by default it will unload the model to free up VRAM.

    Basically this means that you either need to wait a bit for the model to warm up or you need to extend that timeout so that it stays warm longer. That means that I cannot really use my GPU for anything else while the LLM is loaded.

    I haven’t tracked power usage, but besides the VRAM requirements it doesn’t seem too intensive on resources, but maybe I just haven’t done anything complex enough yet.