I assume it’s not nvidia. Yet I have no idea how to differentiate between them and neither do I know what a good price is.

Let’s say I don’t want to think about what the video type is. I just want a smooth experience.

Edit: thank you guys!

  • Decronym@lemmy.decronym.xyzB
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    5 months ago

    Acronyms, initialisms, abbreviations, contractions, and other phrases which expand to something larger, that I’ve seen in this thread:

    Fewer Letters More Letters
    Git Popular version control system, primarily for code
    NUC Next Unit of Computing brand of Intel small computers
    PCIe Peripheral Component Interconnect Express

    3 acronyms in this thread; the most compressed thread commented on today has 5 acronyms.

    [Thread #742 for this sub, first seen 8th May 2024, 06:15] [FAQ] [Full list] [Contact] [Source code]

  • Vinny_93@lemmy.world
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    5 months ago

    I hear good things about the Intel Arc A380. You basically only need it to convert video and the Intel is not too bad at that for not too steep a price

    • swooosh@lemmy.worldOP
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      5 months ago

      How do I need to configure jellyfin in order to work properly?

      I added

      device:
        - /dev/dri
      

      And I tried /dev/dri/renderD128 but both don’t work. Moreover, I enabled encoding in HEVC format, hardware encoding and selected hardware accelleration with intel quicksync (QSV) and enabled hardware decoding for H264, HEVC, …

      But if that’s enabled, transcoding doesn’t work at all on the player.

      I guess I fail at. any advice?

      podman exec -it jellyfin /usr/lib/jellyfin-ffmpeg/vainfo
      Trying display: drm
      error: failed to initialize display
      

      I managed to enable it by giving itnprivileged access.

  • Jaypg@lemmy.jaypg.pw
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    5 months ago

    Intel Arc A310. They’re $100, support AV1 and powered completely by the PCIe bus. Combine it with Tdarr and you can compress your media library down to half the size easily while still being able to easily stream to any device you have.

    • SmoothLiquidation@lemmy.world
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      5 months ago

      Side note. Don’t use hardware acceleration with TDARR. You will get much better encodes with software encoding, which is great for archival and saving storage.

      Use hardware acceleration with Jellyfin for transcoding code on the fly for a client that needs it.

      If you know what your client specs are, you can use TDARR to reencode everything to what they need and then you won’t have to transcode anything with Jellyfin.

  • Eager Eagle@lemmy.world
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    5 months ago

    I’d look into AV1 decoding benchmarks, regardless of NVIDIA vs AMD, as I’ve been using NVIDIA on Jellyfin for a while with no issues.

    HEVC is not as relevant IMO, as it’s not available through browsers due to license restrictions (ffmpeg / mpv works fine), so I’d focus on AV1 capabilities, which is not available in many cards.