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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[–] GenderNeutralBro@lemmy.sdf.org 4 points 1 month ago (2 children)

Basically the only thing that matters for LLM hosting is VRAM capacity

I'll also add that some frameworks and backends still require CUDA. This is improving but before you go and buy an AMD card, make sure the things you want to run will actually run on it.

For example, bitsandbytes support for non-CUDA backends is still in alpha stage. https://huggingface.co/docs/bitsandbytes/main/en/installation#multi-backend

[–] brucethemoose@lemmy.world 6 points 1 month ago

For local LLM hosting, basically you want exllama, llama.cpp (and derivatives) and vllm, and rocm support for all of them is just fine. It's absolutely worth having a 24GB AMD card over a 16GB Nvidia one, if that's the choice.

The big sticking point I'm not sure about is flash attention for exllama/vllm, but I believe the triton branch of flash attention works fine with AMD GPUs now.

[–] Psyhackological@lemmy.ml 2 points 1 month ago

From what I have seen CUDA is still first supported.