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!
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.
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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
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.
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.
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.
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.
What problem are you trying to solve?
Intel integrated graphics or if you want to go overkill go with an Arc GPU.
Avoid AMD
Avoid AMD? Why do you say that?
No good hardware acceleration for video.
It is terrible for media hardware acceleration. I’m saying that out of both personal experience and the Jellyfin wiki
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