5 comments

  • LaurensBER 3 hours ago
    I just bought a used Ayaneo 2 handheld, it has an old(er) mobile RDNA 2 GPU and I was blown away by how well this thing performed under Linux. Almost everything (that's not a recent AAA game) runs beautiful and a lot faster/smoother than it does under Windows. The experience has been so good that I'm considering switching my main pc (with a 9070XT) to Linux as well.

    No doubt Timur contributed heavily to this given Valves Steamdeck (which uses a very similar but slower GPU).

    Given the current hardware prices it's pretty awesome to see someone squeezing maximum performance out of old hardware!

    • fwipsy 3 hours ago
      I'm sure Valve probably still deserves the credit, since the Steam Deck uses a RDNA 2 gpu, but the article mentions that Timur specifically worked on gcn1.0 GPUs - e.g. radeon HD 7800/7900 from 2012 (!)
    • Gigachad 2 hours ago
      My experience has been that for Linux you are always better buying older mid tier hardware because all of the issues and optimisations have already been worked out and those changes have flowed through to your distro so you aren’t waiting on kernel updates.
      • tym0 1 hour ago
        I've switched my gaming PC last year to Linux and it's been flawless.

        Originally ran a 3070 which matches your "older mid tier" description and then upgraded to a 9070XT maybe 6 months after launch so not so old or mid-tier.

    • benoau 53 minutes ago
      Steam Deck amazes me, I've had it for years and it doesn't feel dated in the slightest.
  • gary_0 2 hours ago
    Direct link to the talk, with timestamp: https://youtu.be/j5W5ErEMnvM?t=21385
  • wewewedxfgdf 2 hours ago
    If only AMD did this.
    • bigyabai 44 minutes ago
      AMD supports Mesa precisely so that enthusiasts can do this.

      Nvidia doesn't, and their Vulkan stack underperforms on Linux quite significantly.

    • Waterluvian 2 hours ago
      Is there financial incentive for them to bother?
      • wewewedxfgdf 2 hours ago
        Perhaps not but one of the great things about Nvidia is their latest drivers often support very old cards.
        • returnorthrow 1 minute ago
          Perhaps René, the maintainer of T/2 Linux, will end up vibe coding an NVIDIA driver one of these days. He’s been reverse engineering and vibe coding a bunch of drivers for old graphics lately and live streaming everything.
        • benoau 49 minutes ago
          They're in the process of ending support for everything below the RTX 2000 series -

          https://windowsforum.com/news/nvidia-ends-feature-support-fo...

        • Waterluvian 2 hours ago
          Maybe there’s a prestige angle to somewhat shame them into keeping up with nvidia. Though my sense is that they’re barely peers anymore in this space. :(
  • segmondy 3 hours ago
    I wonder if some of these could carry over for LLM inference. It will be nice to turn more ewaste GPUs into capable processing units for LLM.
    • lp92 1 minute ago
      Memory is the bottleneck along with the lack of FP4/FP8 capability at the hardware level.
    • saghm 1 hour ago
      I have a Radeon RX 6900 XT (16 GB VRAM, originally released in 2021), and it's possible to run some lightweight models to have okayish performance and quality of output, but nothing I've tried has come anywhere close to the quality even of the models I can use for free from OpenCode Zen or the free tier of Openrouter. If you want to keep everything local on the same card I have, it requires putting up with a model that's noticeably worse in virtually every metric than what you can get for free elsewhere, and the GPUs this article are talking about are three times as old as mine.

      It would be awesome if someone manages to figure out how to get small enough models to fit on older cards to be viable, but I'm not optimistic that it will come without some sort of fundamental architectural innovation rather than incremental improvements, and it's not clear if and when that will happen.

      • BLKNSLVR 51 minutes ago
        This kinda highlights the level of debt the AI companies are in, and will continue to be in, offering anything for free.

        How long is this runway?

        • saghm 49 minutes ago
          I have no clue, and I agree that it does not seem sustainable. Either someone needs to find a magic solution to making it a lot cheaper, or a lot of companies are going to need a lot of money from somewhere that isn't clear.
    • marknsikora 1 hour ago
      Most of these older cards are lacking the physical hardware for fp8 or other lower precisions that most quantized models use. Or the memory to run models at higher precision.
  • alexx-devv 44 minutes ago
    [dead]