I have been teaching myself Linux on really old hardware. I am looking into building a new system so I can learn SDXL and maybe mess around a little with LLMs.

I have been reading as much as I can, but get a lot conflicting info. Ideally I would like a build that I can get started with, without being at bare minimums if possible. Just best value at a realistic starting point. Willing to save up more if it will save me from waiting forever while my PC is maxed out. With options to expand easily as I go. Don’t mind using used hardware. I have also read some about cheap enterprise hardware being an option that can expand easily?

Any help would be awesome. Thank you in advance.

P.S. Happy New Year! Wishing everyone all the best. After the past few years, we could all use a better one.

  • @Starbuck
    3•1 year ago

    I have an old jetson nano that’s pretty neat for getting into ML. It’s basically a raspberry pi with a GPU strapped to it. I’ve had it for a few years, so you could probably get one cheap.

    Any bigger than that and I would say just look into paying for Google Colab. https://colab.google

    You aren’t going to want to buy dedicated resources for local training just yet. Learn the skills to interact with big hardware today, no need to wait. Only buy when you know what you need.