Self-hosted Jellyfin CPU or GPU for 4K HDR transcoding?

Like others said an Intel CPU with iGPU, alternatively the cheapest Intel Arc GPU (A380?) supports the latest spec of Intel QSV as well.

A310 is the cheapest.

I wonder how well it does for transcoding on older computers without ReBAR, since apparently gaming on it is straight out broken without ReBAR. As in, it would actually freeze for a second or so every now and then.
- You can enable REBAR on older machines with a UEFI hack.
  
  It's been part of the PCI spec for ages but Nvidia and AMD only started using it recently.
  
  You can check out the tool here.
- Encoding engine basically requires it, so you'd need to implement a hack or something. https://www.reddit.com/r/IntelArc/comments/189cgsm/intel_arc_h265_encoding_performance_and_resizable/
- same with all modern pcie 4.0 or higher gpus
  
  rebar is now standard
  
  https://www.nvidia.com/en-us/geforce/news/geforce-rtx-30-series-resizable-bar-support/

Intel Quicksync would do it, no need for a dedicated GPU.

You need a Intel GPU for that. It just so happens Intel CPUs come with GPUs these days.
- Yes hence no need for a dedicated GPU

You can easily do smooth 4K HDR transcoding with any modern Intel CPU with integrated graphics.

I have an Intel N100 and it can probably handle 2-3 4K HDR transcodes at once. Definitely more if they're being transcoded down to lower resolutions. Encoding is the most intensive part of the process.

Intel GPUs look like a great value. And AV1 hardware acceleration is a game changer
I don’t know where you’ve bought your N100 but i think it shouldn’t be able to do that. I have one too and it cant do even one 4k 10bit HDR transcode.

As i see in the results from the benchmarks we’ve gathered (here: https://gist.github.com/ironicbadger/5da9b321acbe6b6b53070437023b844d), my experience seems to be the common one.

While de N100 is a great value and low energy processor for a jellyfin server (especially if you direct play everything as is my case), I think if the objective is 4k hdr 10bit it will fall short as in my experience it usually transcodes at 8-9fps.
- I use QSV hardware acceleration with Low Power h264 and HEVC encoders enabled, plus VPP tonemapping on Jellyfin. I have Prefer OS Native DXVA or VA-API decoders checked (apparently this is needed for VPP tonemapping) and also Enable Tone mapping checked so it can fallback onto OpenCL if VPP doesn't work. Thread count set to Auto. Preset is set to medium. h265 encoding CRF of 25, h264 encoding CRF of 23 and I have Throttle transcodes enabled, which seems to increase the number of videos I can have transcoding at once due to not transcoding more than necessary whenever a player has enough buffer for the moment.
  
  This is on the latest Jellyfin linuxserver.io container with the OpenCL-Intel docker mod.
  
  Also, not sure if this is a factor but I've got 16 GB of single channel RAM on it and I use a USB-mounted SSD for my cache and transcode folders. In the past I ran into bandwidth issues by having my transcodes be on the same drive as my media.
  
  I get 4K HDR to 4K SDR tonemapping plus 7.1 Dolby TrueHD to 2.0 AAC transcoding at 70-75fps with my setup.
  
  Transcoding of 4K down to lower resolutions is even faster. 4K HDR to 480p SDR runs at 191fps.
  
  I took a look at the benchmark script those results are from and compared them to the ffmpeg commands auto-generated by my Jellyfin server for actual transcodes.
  
  Here's how the command to transcode a 4K HDR 10 bit HEVC with 7.1 AAC audio to 4K SDR h264 with 2.0 AAC audio looks on my machine:
  
  /usr/lib/jellyfin-ffmpeg/ffmpeg -analyzeduration 200M -init_hw_device vaapi=va:,kernel_driver=i915,driver=iHD -init_hw_device qsv=qs@va -filter_hw_device qs -hwaccel vaapi -hwaccel_output_format vaapi -autorotate 0 -i file:"/Films/Man of Steel (2013)/Man of Steel (2013) Bluray-2160p Proper.mkv" -autoscale 0 -map_metadata -1 -map_chapters -1 -threads 0 -map 0:0 -map 0:1 -map -0:s -codec:v:0 h264_qsv -low_power 1 -preset medium -look_ahead 0 -b:v 7616000 -maxrate 7616000 -bufsize 15232000 -g:v:0 72 -keyint_min:v:0 72 -vf "setparams=color_primaries=bt709:color_trc=bt709:colorspace=bt709,scale_vaapi=format=nv12:extra_hw_frames=24,hwmap=derive_device=qsv,format=qsv" -codec:a:0 libfdk_aac -ac 2 -ab 384000 -ar 48000 -af "volume=2" -copyts -avoid_negative_ts disabled -max_muxing_queue_size 2048 -f hls -max_delay 5000000 -hls_time 3 -hls_segment_type mpegts -start_number 587 -hls_segment_filename "/transcodes/53a1ea6d1a7a34b888e73230f9ff04e2%d.ts" -hls_playlist_type vod -hls_list_size 0 -y "/transcodes/53a1ea6d1a7a34b888e73230f9ff04e2.m3u8"
  
  And here's the command that benchmark runs for 10-bit HEVC:
  
  /usr/lib/jellyfin-ffmpeg/ffmpeg -y -hide_banner -benchmark -report -c:v hevc_qsv -i /config/ribblehead_4k_hevc_10bit.mp4 -c:a copy -c:v hevc_qsv -preset fast -global_quality 18 -look_ahead 1 -f null - 2>/dev/null
  
  So I'm gonna go out on a limb and say there's a major difference in configuration between the two. Setting global_quality to 18 is kind of absurdly high quality for hardware h265 encoding. You can easily get away with 28 for "good enough". My setting of 25 for the CRF of h265 encoding is already edging into placebo territory for most videos. That's all without considering the impact of low power mode, extra_hw_frames, etc.
- It's not Jellyfin, but here's my N100 simultaneously doing two 4K HDR transcodes with tone mapping enabled. Neither stream had buffering.
  
  So it's definitely a capable chip, but might be dependent on transcode settings.

GPU all the way as it will be more efficient. Keep in mind Intel integrated graphics counts as a GPU

Read up on Intel QSV. You essentially only need a recent cpu. i3 would do.

One of my miniPCs is just a little N95 and it can easily transcode 4K HDR to 1080p (HDR or tonemapped SDR) to a couple of clients, and with excellent image quality. You could build a nice little server with a modern i3 and 16gigs of ram and it would smash through 4 or 5 high bitrate 4K HDR transcodes just fine.

Is that one transcoding client local to you? or are you trying to stream over the web? if it's local, put some of the budget to a new player for that screen perhaps?

I tried that with a cheap minipc I bought and it was CPU limited. The GPU was fine it was the overhead that killed me.
- Was it an n100? They have a severely limited power budget of 6w compared to the n95 at 25w or so.
  
  I'm running jellyfin ontop of ubuntu desktop while also playing retro games. That all sits in a proxmox vm with other services running alongside it. It's perfectly snappy.

Curious: What's the deal with all the transcoding on servers?

Don't you just need some good rendering on the client? And if you need it on the server, why need it on the fly? You can do it before, and store the result, can't you?

Compatibility and storage.

Do you want only 2 devices of the 10 your family possibly owns to work?

Do you want your family to complain that jellyfin "isn't as good as Netflix/Disney+/etc.." Because it constantly stops to buffer and a can't keep up the framerate?

It is completely fine if you are single and have 1-2 devices that work with AV1 and h.265 client side and that is all you need, then you don't have to bother with transcoding at all. When you start letting other people into it, compatibility becomes an issue.

As for storing it beforehand, the entire point of AV1 and HEVC is to significantly reduce the size on disk. If you have to store 10 versions or each file, 5 resolutions each, half h.264, then you are taking up about 20x the space per file compared to 1 copy of HEVC or AV1.

A transcode GPU like the A380 or new QSV compatible CPU is MUCH cheaper than a new good quality 12TB drive lol

Sorry for the long text, it pretty much depends on the living situation.
- Very much agree on all these points; I just wish I could get the transcoding to actually work.
  
  I’ve been running Jellyfin in a container and giving it access to an old GTX970 but it just refuses to do anything with it.
A few reasons.

For one, storing multiple versions of the same film takes up a lot of storage, which is more expensive than a cheap 40€ gpu for transcoding. And I definitely wanna keep the highest quality I can. Besides transcoding on the fly is more flexible, ensuring the best possible quality at any time, instead of having to pick between the good and the shit version.

And secondly, usually I only need transcoding when I don’t watch on my home setup (or when some friends watch on my server). My upload isn’t as high as some of my film’s bitrates and some clients do not support h.265 or HDR thus needing transcoding and/or tonemapping.
The mobile and TV clients are often limited to the codecs with hardware acceleration. Or just selecting a lower bitrate on the client will cause transcoding.
People talk about the cost of storage space but neglect the cost of electricity to constantly transcode video files. And it’s not like the output is saved for the next time; you need to do it every time.

Plus, I’d bet most people sit too far from their TV to be able to see the actual different between 1080p and 4k.

HDR? Sure. But 4k? Doubtful.

I keep two libraries - one that’s 720/1080p and a second that’s 4k only. My 4k content is severely limited to only things I REALLY want in 4k.
- And it’s not like the output is saved for the next time; you need to do it every time.
  
  You can cache transcoded content in Jellyfin. So use a large enough cache and you basically only have to transcode once for every resolution. It's easier for me to set up transcoding than it would be to manually figure out which resolutions I'll prefer having around and transcoding them. Most of my stuff exists in 1080p, with 4k files for stuff I REALLY like, but I sometimes find myself watching on very low resolutions on my phone when away because I have pretty limited data.
  
  I find that in a few movies the 4K versions have a generally better image quality and are worth it even if you are sitting far away or not watching the content in 4K resolution at all. But like you, I only keep around 4k files for stuff I really like.
  
  EDIT: I've also run into problems with codecs on other people's devices when not transcoding. I could keep my files in whatever the most compatible codec is nowadays but having the ability to transcode on the spot is easier.

The easiest and cheapest solution is don’t allow transcoding.

The easiest way to do that is separate your 720/1080p videos from your 4k videos. Limit 4k access to the users that can play 4k

I've been trying to get this to work for weeks now. No dice, so far. Anybody know any useful guide on setting it up for a docker installation? Or does it only work if you install the.deb? I use Mint, BTW. Server is a Dell with a 9th gen i5.

What specifically isn't working? I've got Jellyfin running on Docker with transcoding from a Nvidia GPU.

I pretty much followed the documentation here: https://jellyfin.org/docs/general/administration/hardware-acceleration/nvidia. I can share my docker-compose for that specific use case if you'd like.
- "jellyfin-ffmpeg5 deb package" is one bit I'm confused about. Is that part of the docker installation? If not, if I install the deb, can the docker installation use it? Do I have to configure something there?
I also struggled to get it to work with an Intel Celeron N5100. To get it to work I followed the instructions in the Jellyfin documentation. It seems like there are some additional steps for some versions of Intel CPUs, could it be that yours is affected? After enabling "Low-Power Encoding" it worked as expected.
- Do you have it installed with docker?
Check the Jellyfin wiki

I think those miniPC CPUs do a good job transcoding from what I've read, the N95 and N100. I already had older hardware set up when I added Jellyfin so I got a cheap nvidia Quadro P400 for the transcoding. If you're setting up a new system though, I'd guess a Intel iGPU would be more than enough.

I've looked at https://www.elpamsoft.com/?p=Plex-Hardware-Transcoding before for transcoding comparisons.

Setups for hardware decoding are based on the underlying OS. An example quite common is docker on Debian or Ubuntu. You will need to pass the appropriate /dev/ directories and at times files into your jellyfin docker container with the device environment variable. Commonly that would be /dev/dri

It gets more complicated with a vm because you are likely going to be passing the hardware directly into the vm which will prevent other devices outside the vm from using it.

You can get around this by placing docker directly on the os or placing docker in a Linux container with appropriate permissions and the same devices passed into the Linux container. In this manner system devices and other services will still have access the the video card.

All this to say it depends on your setup and where you have docker installed how you will pass the hardware into jellyfin. However jellyfin on docker will need you to pass the video card into the container with the device environment variable. Docker will need to see the device to be able to do that.

I've been using podman due to its low overhead.
- Nothing but love for that project. I've been using docker-ce and docker-compse. I had portainer-ce but just got tired of it. It's easier for me to just make a compose file and get things working exactly like I want.

If only 1 person will watch at any given time, cpu is plenty

I have no idea what the people who recommend CPU are smoking. The difference between a GPU with hardware support and doing it on the CPU is huge.

It’s really not, like at all. QuickSync is fast af and overkill for almost any usecase.

My current setup:

one stream using CPU transcoding, Intel Xeon E2246G
six streams using GPU transcoding, Nvidia Tesla P4

My optiplex with i5-6500TE can transcode 4K videos easily if the codec is AVC. HEVC is different story though. Any CPU newer than 10th generation would be more than enough for your needs, I'd say.

Use the on board GPU
- 6th gen's integrated GPU cannot decode HEVC.

Well it isn't really CPU vs GPU. It is integrated vs dedicated GPU. A CPU certainly can transcode, but not well. A lot of CPUs have integrated graphics which can handle transcoding quite well. I went with an Intel arc a380 because I know quite a lot of people could hit it under some circumstances. For most people though, I would recommend an Intel CPU with quicksync. What you really should spend your budget on IMO is as much storage as you can.