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.
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
Thx. 130€? That’s surprisingly cheap.
It is not terribly performant but you don’t really need that for Jellyfin, and it’s a good value.
I’ve got one and it handles about 3 transcodes from x264 to AV1 fairly effortlessly.
It’s a champ for Jellyfin. It’s 2024 and Intel produced a really good GPU… the world is weird. :P
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.
I can’t get my nvidia to work with it :(
What model of graphics card are you having problems with?
NVIDIA Corporation TU116 GeForce GTX 1650
AV1 decode is supported on the RTX 3000 series, encode + decode in the RTX 4000 series
For Intel Arc, AV1 encode + decode support is present on all Arc Alchemist GPUs,
For AMD, AV1 decode is on RX 6000 series, encode + decode on all RX 7000 series GPUs
As someone else has recommended, a low end Intel Arc alchemist GPU is pretty great for stuff like Jellyfin, very low price to entry for gfx accelerated AV1 transcoding.
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.
The most impressed I’ve been with hardware encoding and decoding is with the built in graphics on my little NUC.
I’m using a NUC10i5FNH which was only barely able to transcode one vaguely decent bitrate stream in software. It looked like passing the hardware transcoding through to a VM was too messy for me so I decided to reinstall linux straight on the hardware.
The hardware encoding and decoding performance was absolutely amazing. I must have opened up about 20 jellyfin windows that were transcoding before I gave up trying and called it good enough. I only really need about 4 maximum.
The graphics on the 10th generation NUC’s is the same sort of thing that is on the 9th gen and 10th gen desktop cpu’s, so if you have and intel cpu with onboard graphics give it a try.
It’s way less trouble than the last time I built a similar setup with NVidia. I haven’t tried a Radeon card yet, but the jellyfin docs are a bit more negative about AMD.
I didn’t even know jellyfin had hw transcode till this post but I’m with this guy, Intel’s qsv is great. I have my plex server running bare metal on an gen 2 HP chromebox. It’s dual core but hw transcode with Intel QSV will do like 20+ 1080p streams.
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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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
What problem are you trying to solve?
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