Prerequisites: nvidia drivers, nvidia docker 2 package, edited, When using docker v19.03+ (docker run), there is no reason to edit. Create an account to follow your favorite communities and start taking part in conversations. I am using a GP107GL [Quadro P600] so I need to target the 11.4 CUDA packages as identified by the CUDA VERSION: in the previous screenshot above. How do I know for scale if the drivers and the toolkit are properly installed? Check all of those sexy boxes and set your hardware accelerator to Nvidia NVENC. Ive been on beta3 for a bit but Ill check out the official release when I get a moment. frame= 201 fps=153 q=31.0 size=N/A time=00:00:08.48 bitrate=N/A speed=6.46x. Couldn't be happier with the job the jellyfin support have done putting together the official documentation. It doesn't do nearly as much as PLEX, but I am OK with that as I just want it to catalog my movies and TV shows, show some pretty artwork, and crucially play them. In the end, the jellyfin docs were clear and worked first time. https://jellyfin.org/docs/genehtml#debian-docker-nvidia. VPN Docker: https://haugene.github.io/docker-transmission-openvpn/ Lidarr: https://docs.linuxserver.io/images/docker-lidarr Radarr: https://docs.linuxserver.io/images/docker-radarr Sonarr: https://docs.linuxserver.io/images/docker-sonarr Librarian: https://docs.linuxserver.io/images/docker-lazylibrarian Compose file version: '2.1' services: transmission-openvpn: volumes: - /srv/dev-disk-by-label-media/downloads/:/data - /etc/localtime:/etc/localtime:ro environment: - PGID=1000 - PUID=100 - CREATE_TUN_DEVICE=true - OPENVPN_PROVIDER=NORDVPN # - OPENVPN_CONFIG=default - NORDVPN_COUNTRY=US - NORDVPN_CATEGORY=legacy_p2p - NORDVPN_PROTOCOL=udp - OPENVPN_USERNAME=1234567890987654321 - OPENVPN_PASSWORD=1234567890987654321 - OPENVPN_OPTS=--inactive 3600 --ping. Thats it! 7359/udp is also used for auto-discovery. I assume you already have UNRAID installed and up to date. Thank you. I've been running it as a front end for my media server for about 2 months. I don't use trakt.tv myself so never looked to see if it has any integration with that. Is that no longer the case? encoder : Lavc58.91.100 h264_nvenc Im scratching my head. If you look at the transcoder in htop, you can see the ffmpeg commands it uses. So on UNRAIDs web interface open up terminal and type the following commands. 1900/udp (ssdp) is used for service auto-discovery. The jellyfin guys really deserve a lot of credit for clear and accurate documentation, which seems ever rarer these days. The only real downside is there are not a lot of native apps available yet. This should be compatible with any glibc distribution (which is required for nvidia drivers and nvidia docker 2). Anyone else who is figuring this out here are some pointers. If you have an AMD Ryzen 3 3200G, 3400G, or an Athlon 200GE, 3000G, or another APU model and want to get hardware acceleration working then this guide should work for you. nvcc --version. Already on GitHub? So the video is not the problem I think. Thanks and great job! emby transcoder log snippets, https://github.com/jellyfin/jellyfin/issues/482#issuecomment-496012051. I also recommend the linuxserver docker images that are a great shortcut to getting it set up along with a suite of complementary software. Next, install some basic tools as well as the epel repo data. But yes, the downside is the lack of smooth integrations. Confirm you see the cuda compiler After you should be using 10-20% CPU usage transcoding 4K content give or take. Press J to jump to the feed. (Theres a gotcha here) I was able to create the container, but the HW transcoding doesn't work.Is there a definitive guide for getting nvidia drivers and docker going for OMV5thanks. You can whitelist certain private local IP's, however for any remote access it must be done through their app.plex.tv website or whatever unless you're going to setup a VPN. Emby went closed source around the time as well. Glad it works. So I decided to put this post out there and hopefully, it will help you. So you haven't had issues with setting the user with our image? Its just virtualizing an operating system, which the host OS can expose hardware to just fine. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Largely ripped off from here but with a few extra steps. PC - I prefer in-browser for video and music, but a Win/Linux/Flatpak/Mac Jellyfin Client does exist. This site uses cookies to help personalise content, tailor your experience and to keep you logged in if you register. https://forums.unraid.net/topic/102787-support-ich777-jellyfin-amdintelnvidia/, Your email address will not be published. @nasrocket, happy new year. Dont know why these are required but they are. Side data: I've tried googling and found this thread amongst a bunch of other post on various other forums: How to setup Nvidia in Plex docker for hardware transcoding? I have it disabled on mine because I use a different mitigation strategy but if someone wants to help contribute please let me know and well get it added. Whatever I have tried I had zero success to passtrough my gpu to the docker image. You can change this in the dashboard. Press question mark to learn the rest of the keyboard shortcuts. Although it clearly states it's using nvdec. I don't know much about nvidia hwa. I run both PLEX and Jellyfin in Docker containers on my homelab and I have found Jellyfin to "just work" better. So, hardware/GPU transcoding can be done for free. On the additional variables you asked for, one is an option variable (as you pointed out) and the others are the environment variables, so you can place them in the respective sections of the json file. Register for the iXsystems Community to get an ad-free experience and exclusive discounts in our eBay Store. I do not recommend the jellyfin-ffmpeg package because it never really seems to be able to play any of my media at least. But a quick update of /etc/network/interfaces and iptables to the new name and everything was back as it should be. I did see quite a few posts asking how this is possible, with either little or no replies at all. There's some slight hiccups, but it's not Plex. I guess as they say, everyone's gotta eat, and filet and caviar are the menu items. Under transcoding select video acceleration API (vaapi) I'm running jellyfin in a docker container on debian 10 server on an old hp-prodesk i5 4670. Can you post your json file as well as the configuration values you populate? , But then I enable jellyfin hardware acceleration using NVIDIA NVENC this error appears. Heres an example (I omitted the other sections that are usually present as well): Finally, looking at the config page you referenced above, there might be something that you need to do with the user that you specify as part of the linuxserver.io image: Happy new year you too @Hooverdan. To be clear before we begin; the docker image Ill be referencing is by linuxserver.io (http://hub.docker.com/r/linuxserver/jellyfin), Installed via the apps tab on UNRAID. If I want steaming or news, I'll go find it elsewhere. Jellyfin is also a variety of client applications by the same name, though youre welcome to use 3rd party apps as well - or build your own. Is there a guide for ffmpeg and Ubuntu server? Plex handles it incredibly poorly and rarely works, while with Emby I have to do hardly any maintenance. First, a small FAQ to clear up possible confusion and explain the appeal of Jellyfin. This allows the ffmpeg configure script to auto detect all nvidia encode/decode flags. Metadata: I have always used plex for my dolby vision stuff but my shield might be broken because plex when it does work buffers like mad with dolby vision. Crucially, Jellyfin does not make you log into someone elses website for your own content. I managed to h264_nvenc transcode ~600fps for the very first time. Okay 1080p has no issues. Thank you. So far so good! To do this go to: UNRAID will ask you to restart to make the changes. https://jellyfin.org/docs/general/administration/hardware-acceleration.html#h264--avc-10-bit-videos. Both interfaces allow you to download media files for offline access, but require use of your native, 3rd party app for offline playback. It's remarkable how far docker and hardware pass-through have come over the last few years. Next, install the system dependencies of the jellyfin rpms. TLDR: you only need to add to -json these lines: NVIDIA_DRIVER_CAPABILITIES: { description: Enter which NVIDIA driver capabilities should be enabled (default: all), label: NVIDIA Driver Capabilities, index: 3, default: all }, NVIDIA_VISIBLE_DEVICES: { description: Select which visible devices should be selected (default: all), label: NVIDIA Visible Devices, index: 4, default: all }, Output #0, hls, to /transcode/a7e4651191a41a8d519cb649c2176998.m3u8: Note: if you stick with version 10.7.7 and the version of ffmpeg from fusion (4.2), and you install the bits about the official nvidia driver (sans cuda) then you will still get hardware acceleration out of the box, but you wont be able to tick all the boxes. Open up firewall ports. Clients: (Click here for the recommended menu). WHAT IS JELLYFIN? In the end it was super easy, seems incredibly reliable. The server also runs a few VMs and things as needed like PiHole. TrueNAS Scale may also be missing a required software component, but I think the culprit is most likely the incompatible H264 source codec. Obviously still have plenty more to understand re virtualisation! http://hub.docker.com/r/linuxserver/jellyfin, https://forums.unraid.net/topic/102787-support-ich777-jellyfin-amdintelnvidia/. It shows you how to set up the NVIDIA docker environment and NVIDIA drivers, and how to connect the jellyfin container to the NVIDIA docker. Again, this should be compatible with any glibc distribution (which is required for nvidia drivers and nvidia container toolkit). I did notice it was using cuvid instead of nvdec, even though hardware decoding is enabled for all supported file types. Register yourself now and be a part of our community! 8920/tcp is used by default for HTTPS traffic. Thanks! use the /opt/rockstor/bin/delete-rockon 'Jellyfin' option to ensure after uninstall before relaunching the installation. Note: this will download like ~1 GiB of packages so this one might take awhile. hit enter and you should now be editing your go file with nano. You can set this up how you want -where your media files are located etc. Required fields are marked *. Add the following 2 lines in to your go file: Here you are setting file permissions for docker(and anything else) to access your device driver files. I thought I would add this here for those perhaps intimidated by or lacking the time to follow your write up. Then all I had to do was set hw transcodes to nvidia in jellyfin playback settings and everything worked! Would you be willing to get a working config using user: 1000:1000 and group_add: videogroup I know of group 44 and 107 and had issues getting both groups added to the container. this one in particular seems to be the "working" solution. When using nvidia container toolkit / nvidia docker 2, you do not need to specify or add an alternate video group. Easy Automated Home Media Server: VPN, Radarr, Sonarr, Lidarr, Librarian, Super Easy Sync to Google Drive with Insync on Openmediavault. The logs are: I have ran plex on my freenas server for years and had an older version of it. Firstly, make sure you system is up to date. Confirmed the driver was loaded on both the host and was available to containers using the command "nvidia-smi" and running a test container with "docker run --gpus 0 nvidia/cuda:9.0-base nvidia-smi". their own activities please go to the settings off state, please visit, Nvidia GPUs are supported when using docker-compose. Installed packages: nvidia-docker2, x11-video-nvidiaG05, nvidia-glG05 Maybe that will provide some additional insights to what might be missing, if any. Jellyfin works fine for the most part but every once in a while jellyfin crashes and says restarted too many times. These processors are more than capable of transcoding 4k content. encoder : Lavc58.91.100 aac docker run -d \ --name=jellyfin \ --gpus all \ -p 8096:8096 \ -p 8920:8920 \ --volume /mnt/tank/jellyfin/config:/config \ --volume /mnt/tank/jellyfin/cache:/cache \ --volume /mnt/tank/jellyfin/data:/media\ --restart unless-stopped \ jellyfin/jellyfin, It installed fine and if I do a docker exec -it jellyfin nvidia-smi I get: If all goes well you should see something like the following when you run the SMI tool. https://jellyfin.org/docs/general/administration/hardware-acceleration.html, where can I set the docker --user command in the gui, Hardware Passthrough in TrueNAS-SCALE-21.06-BETA.1, iGPU not detected but motherboard integrated graphics working, Nvidia GPU Passthrough on Debian VM not working, TrueNAS-SCALE docker --hostname --mac-address. Then I installed jellyfin with docker run (and I also tried linuxserver.io compose file): But it seems to be for OMV 4. Why not use the Jellyfin AMD container from the CA App it supports AMD APUs/GPUs right OOB. Now I see this: One of the things I found I really like is that Jellyfin is really good at what it does. Download LTS Nvidia packages (AT this post in time the Long-Lived driver is 470.). Then finally i was able to get `nvidia-smi` to work using the instructions from jellyfin: https://jellyfin.org/docs/genehtml#debian-docker-nvidiaBut it is using `nvidia-docker2` which is the older version as far as I understand. When I tried Jellyfin about a year ago they did not quite have Chromecast support nailed down, however as of now they've got a fully functional Android app and proper Chromecast integration. CUDA_ERROR_UNKNOWN: unknown error Device creation failed: -1313558101. Save my name, email, and website in this browser for the next time I comment. Still amazed by how seamless and straight forward the setup was. This is from my docker-compose.yml. Now you can benefit jellyfin transcoding content using your hardware as anaccelerator, how it should be! The only issue I experienced was that by adding the gpu debian decided to rename my network interface - apparently this is expected behaviour. Just point what ever load balancer you use to what ever port you expect to use jellyfin on (:8096) and be sure to reference it correctly. I have been having a trouble with my own Jellyfin.json parameters with nvidia-docker2. For a better experience, please enable JavaScript in your browser before proceeding. How to setup Nvidia in Plex docker for hardware transcoding? [OS: Rockstor Leap 15.2 install image, Docker Server Version: 20.10.9-ce, GPU: Quadro P400, Driver Version: 495.29.05, CUDA Version: 11.5]. Open up terminal and type the following command. This is going to be a short(ish) guide on how to get your AMD APU (iGPU) working through UNRAID for a Jellyfin docker image. [hls @ 0x56301d4875c0] Opening *** I have 4k video files, which client devices can handle no problem, however getting all that data to them seamlessly can be problematic if their connection isn't fast enough. It's really a question of bandwidth limitations. Referenced documentation: Sign in Easiest Home Media Setup. Your browser has JavaScript disabled. So now I know it's working, I can compare with scale. I will have to check out the IPTV streaming. Nitpick: x265 is an encoder for the HEVC video codec. Cool. Reboot your system and then check to see your drivers have been correctly initialized. I had tested the same video on jellyfin installed with truecharts and it worked great, but I don't want to use truecharts. privacy statement. The first one may display that the file already exists, it did on my installation, this is fine but it is advised by lime tech to run it, so maybe its needed in certain cases. Run a quick test to see if you get the jellyfin page. I'm pretty sure you can use plex without logging in for many use cases. That's my understanding at least. Dont have an account yet? Pretty simple TBH. I thought by it's very nature of passing hardware access (gpu in this case) to a virtualised OS that it was simply hardware-pass through. Whereas jellyfin on the same shield doesnt buffer with hdr10. Theres no actual hardware pass through going on here. I tried to reproduce the error on Debian 11. This is going to be arduous. I have about two dozen Dockerized applications running on my server, and 5 are all using the same GPU. It IS a fork of Emby, however, which is quite similar to Plex in how it behaves.

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