The Coral TPU driver has basically been abandoned by Google so if you are running a Linux kernel newer than 6.2 it will not function.

https://github.com/google/gasket-driver is the original driver which was archived on April 18, 2026

You can try the driver https://github.com/feranick/gasket-driver or https://github.com/dude84/gasket-driver-coral or search through the forks of the original gasket-dkms driver https://github.com/google/gasket-driver/forks

So in the future your options are to pin your kernel to 6.2, upgrade your hardware, hope that someone will keep a gasket-dkms fork updated for newer kernel versions, or make your own fork to do so yourself.

  • paraphrand@lemmy.world
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    3 months ago

    I wonder, is it due to architecture limitations? They don’t see a roadmap ahead for it anymore in light of changing AI hardware demands?

    I assume the hardware is end of life and not just the Linux driver.

    • MuttMutt@lemmy.worldOP
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      3 months ago

      I’m guessing it’s because more powerful hardware is coming out all the time. But for a lot of homelabs more power isn’t really needed to watch a few cameras for basic detection.

      And yes the hardware hasn’t been made in a while but new old stock is still being sold. Hence the reason for the post.

  • Nephalis@discuss.tchncs.de
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    3 months ago

    Well, good to know. I planned to buy one and attach it to my homeserver ಠ╭╮ಠ

    I think this plan needs to be replaced.

    • JustEnoughDucks@feddit.nl
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      3 months ago

      Nowadays just get an Intel Arc A380 for 150€ and you can use it for a lot more than only Frigate. That thing is a little beast for my server.

      • Nephalis@discuss.tchncs.de
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        2 months ago

        Unfortunatly this is not possible for my setup. I have a Asrock J4050 with its soldered cpu. So I need something like a separate device. USB, SBC with lan, anything like that… Because of that, I was happy when i discovered coral. And to be honest: I did not researched deeply. So I am unaware of its limitation to frigate. I wanted to create my own model and run it on coral. The training was planned to be done on another device.

        Now I need to check if a raspi could be sufficent or if anything else comes up.

    • Avid Amoeba@lemmy.ca
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      3 months ago

      Perhaps the RX580 is usable via Vulkan? I tried Vulkan with llama.cpp on a R9700 recently and it was generally faster than ROCm.

    • frongt@lemmy.zip
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      3 months ago

      There aren’t any. Nobody is manufacting or developing for these devices because they’re slower than the rest of the hardware you already have, see e.g. https://reddit.com/r/frigate_nvr/comments/1os24t4/has_anyone_successfully_used_the_google_coral_m2/

      Your CPU is probably good enough for some stuff like openvino, if it’s at all recent. 6th gen Intel is the bare minimum, but obviously newer is better. Or, sell that card and buy a new one. I do, unfortunately, recommend nvidia, since that’s what the vast majority of developers are targeting.