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Gemini 4 Argon

1699 points · 1187 comments · bradleyg223

  1. taylorfinley · · focus · HN ↗
    Ten days ago I had an experience with Gemini 3.8 flash that made me wonder if I was being routed to a different model under test. I was trying to use rocm with llama.cpp on my 128gb Strix Halo but could only get it to run Vulkan. I pasted the error message into agy and it proceeded to attach GDB to my GPU driver, reverse-engineer the kernel queue ioctl interface, and author an LD_PRELOAD C shim to get ROCm llama.cpp working on my Strix Halo. My jaw was hanging open the whole time.

    Edit to add the fix: <a href="https:&#x2F;&#x2F;gist.github.com&#x2F;birep&#x2F;6f2c8d490c7a29820997d57bd654c351" rel="nofollow">https:&#x2F;&#x2F;gist.github.com&#x2F;birep&#x2F;6f2c8d490c7a29820997d57bd654c3...

    1. Grimburger · · focus · HN ↗
      &gt; I was trying to use rocm with llama.cpp

      completely offtopic but is rolling with rocm worth it? I spend a fair bit monthly on rental gpus for projects and going to upgrade at home instead, AMD has some solid winners here pricewise but get conflicting reports about using it for ML in 2026.

      once upon a time it seemed unthinkable to use anything but nvidia but seems to have come a long way since I last looked, probably would be just pytorch and gemma 31B

      I get the feeling the situation is only going to improve longer term so might be a good time to just do it

      1. clw8 · · focus · HN ↗
        Support has gotten much better in just the last couple months. I just got a 9070 XT and can&#x27;t count the number of times I&#x27;ve installed a package and the changelog made me think how much it would have sucked to be doing this a year ago.
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