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.

  • Psyhackological@lemmy.mlOP
    1·
    2 months ago

    VRAM and RAM I think. Still AMD seems always slower than Nvidia for some reason for this purpose. Same for Blender benchmarks.

    Ah I use my AMD GPU with Bazzite and it is wonderful.

    CPU does not matter when GPU matters. Otherwise small models will do fine on CPU especially with more recent instructions for running LLMs.

    • GenderNeutralBro@lemmy.sdf.orgEnglish
      3·
      2 months ago

      Yeah, AMD is lagging behind Nvidia in machine learning performance by like a full generation, maybe more. Similar with raytracing.

      If you want absolute top-tier performance, then the RTX 4090 is the best consumer card out there, period. Considering the price and power consumption, this is not surprising. It’s hardly fair to compare AMD’s top-end to Nvidia’s top-end when Nvidia’s is over twice the price in the real world.

      If your budget for a GPU is <$1600, the 7900 XTX is probably your best bet if you don’t absolutely need CUDA. Any performance advantage Nvidia has goes right out the window if you can’t fit your whole model in VRAM. I’d take a 24GB AMD card over a 16GB Nvidia card any day.

      You could also look at an RTX 3090 (which also has 24GB), but then you’d take a big hit to gaming/raster performance and it’d still probably cost you more than a 7900XTX. Not really sure how a 3090 compares to a 7900XTX in Blender. Anyway, that’s probably a more fair comparison if you care about VRAM and price.

    • brucethemoose@lemmy.world
      2·
      2 months ago

      I am not a fan of CPU offloading because I like long context, 32K+. And that absolutely chugs if you even offload a layer or two.