this post was submitted on 16 Oct 2024
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Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).

Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.

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How to choose the best Linux hardware for PC Building? (linux-hardware.org)
submitted 1 month ago* (last edited 1 month ago) by Psyhackological@lemmy.ml to c/linux@lemmy.ml
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I see the raise of popularity of Linux laptops so the hardware compatibility is ready out of the box. However I wonder how would I build PC right know that has budget - high end specification. For now I'm thinking

  • Case: does not matter
  • Fans: does not matter
  • PSU: does not matter
  • RAM: does not matter I guess?
  • Disks: does not matter I guess?
  • CPU: AMD / Intel - does not matter but I would prefer AMD
  • GPU: AMD / Intel / Nvidia - for gaming and Wayland - AMD, for AI, ML, CUDA and other first supported technologies - Nvidia.

And now the most confusing part for me - motherboard... Is there even some coreboot or libreboot motherboard for PC that supports "high end" hardware?

Let's just say also a purpose of this Linux PC. Choose any of these

  1. Blender 3D Animation rendering
  2. Gaming
  3. Local LLM running

If you have some good resources on this also let me know.

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[–] bloodfart@lemmy.ml 2 points 3 weeks ago

I don’t know of any msi or asus boards with problems. Of course, I rejected coreboot as a requirement so that plays into it.

My personal experience is: don’t overclock and everything will run fine for at least ten years.

Blender works faster with nvidia and it’s been the optimal hardware for maybe two decades now. There’s just so much support and knowledge out there for getting every feature in the tool working with it that I couldn’t in good faith recommend a person use amd cards to have a slightly nicer Wayland experience or a little better deal.

If you’re only doing llm text work then a case could be made for a non cuda (non-nvidia) accelerator. Of course at that point you’d be better served by one of those coral doodads.

Were you only doing text based ml work or was there image recognition/diffusion/whatever in there too?