When you purchase through our links we may earn a commission. Due to the fact the P400 is an entry level Quadro card it's limited to a max of 2 concurrent NVENC streams just like the consumer GeForce cards, luckily there are some ways around this. Okay now that's out the way lets get on with it! This site uses cookies to help personalise content, tailor your experience and to keep you logged in if you register. The current state of hardware acceleration support in FFmpeg can be checked on the rpi-ffmpeg repository. Setting the driver to nvidia and adding the gpu capability defines a GPU device. On Linux you can check available GPU using: The hardware decoding of H.264 10-bit aka High10 profile video is not supported by any Intel, AMD or NVIDIA GPU. This can be found at Admin Dashboard > Logs, and /var/log/jellyfin if installed via the apt repository. Add the Jellyfin service user to the above group to allow Jellyfin's FFMpeg process access to the device, and restart Jellyfin. How-To Geek is where you turn when you want experts to explain technology. You can commit your docker-compose.yml file into source control so everyone gets automatic GPU access. Make sure you have the required devices within the container: Configure Jellyfin to use video acceleration and point it at the right device if the default option is wrong. Since nvidia-docker now exposes the GPU to the container while still keeping it available to the host OS, you can run nvidia-smi on the host to monitor how the GPU is performing. The hardware acceleration is available immediately for media playback. Run docker-compose up (or docker compose up for Compose v2) to start your container: The container should successfully obtain access to your GPU. You may need to upgrade kernel for this. Itll then hand over to your regular container runtime. Note that this would work equally well for Plex, or any other Dockerized application which would, technically, support GPU processing. Inspecting your /etc/docker/daemon.json file will confirm that the configured container runtime has been changed. If your Zen CPU is suffixed with a G or GE in model name, you have integrated graphics. The patch is recommended for Linux and Windows but may break in the future, so check the compatible driver versions before applying it. For Jasper Lake and Elkhart Lake chips (such as N5095, N6005 and J6412), Low-Power encoding must be enabled. Please consider upgrading these videos to HEVC 10-bit aka Main10 profile if you want to offload your CPU usage during transcoding. Jellyfin supports hardware acceleration (HWA) of video encoding/decoding using FFMpeg. You can check this by running nvidia-smi: Now you can write a Docker Compose file to start your container with a GPU attachment. Youve successfully signed in. I'm now finding myself needing to support 3 or 4 streams concurrently and even with a much beefier setup without Intel quick sync transcoding the odd media with things like VOBSUB is a real pain. OpenCL: Follow the instructions from intel-compute-runtime. Intel hardware based VPP HDR10 tone-mapping is supported on Intel QSV and VA-API on Linux. For AMD cards, install amdgpu-pro with opencl arguments (see Configuring AMD AMF encoding on Ubuntu 18.04 or 20.04 LTS for more details): For Intel iGPUs, you have two types of tone-mapping methods: OpenCL and VPP. What's the Difference Between GPT and MBR, Take Screenshot by Tapping Back of iPhone, Pair Two Sets of AirPods With the Same iPhone, Download Files Using Safari on Your iPhone, Turn Your Computer Into a DLNA Media Server, Download and Install Older Versions of macOS. All Rights Reserved. A plain container will lack the device drivers that interface with your GPU. (Thanks to @flx42 for clarifying this for me). https://truecharts.org/manual/Quick-Start Guides/13-docker-compose, https://github.com/NVIDIA/nvidia-container-runtime#nvidia_driver_capabilities, Nvidia Tesla P4 + Scale 21.06 K3s not recognizing GPU, Node Not Ready, Network Not Ready. Due to this I'll be dropping down to it's little brother the P400, this does mean we need to do a few extra things down the line but the end goal is the same. Make sure the hardware acceleration is well configured before configuring tone-mapping with this instructions. hevc_qsv to decode and h264_qsv to encode. Previous versions did not ship intel-media-driver thus it was required to be installed manually. Watch a movie, and verify that transcoding is occurring by watching the ffmpeg-transcode-*.txt logs under /var/log/jellyfin and using radeontop (AMD only) or similar tools. On Windows: Install the latest NVIDIA, AMD or Intel drivers. Although containers share your hosts kernel, they cant see the system packages youve got installed. Install the amdgpu-pro closed source graphics driver by following the installation instructions. Its arbitrary which one will be selected. Follow the steps above to add the jellyfin user to the video or render group, depending on your circumstances. However, I like to edit /etc/docker/daemon.json, and force nvidia-docker to be used by default, by adding: And then restarting docker with sudo pkill -SIGHUP dockerd, Even with the default nvidia runtime, the magic GPU support doesnt happen unless you launch a container with the NVIDIA_VISIBLE_DEVICES=all environment variable set. Select a valid hardware acceleration option from the drop-down menu, indicate a device if applicable, and check Enable hardware encoding to enable encoding as well as decoding, if your hardware supports this. JavaScript is disabled. Awesome, thanks, I'll test this out, sounds like it might work! Any Ubuntu from 21.10 does include the required drivers. In this example, a system with two GPUs will provide one of them to the container. If you are building your own image don't forget to include NVIDIA_DRIVER_CAPABILITIES=all and NVIDIA_VISIBLE_DEVICES=all into your container's environment. sudo apt install -y clinfo on Debian/Ubuntu or sudo pacman -Sy clinfo on Arch. Verify that a render device is now present in /dev/dri, and note the permissions and group available to write to it, in this case render: On some releases, the group may be video or input instead of render. We're now on the home stretch, time to open Plex and enable a small tick box in the transcoder settings: Now we can test at last, the nvidia-smi command will let you know of any running processes: Bingo, although we can also run nvidia-smi dmon -s u to see a live read out of the utilization: Finally we'll look at the Plex dashboard to confirm the transcode is being offloaded to the GPU with the "(hw)" notation: Now I'm well aware this may be far from the best solution when it comes to setting up docker but it's one that works and works pretty damn well. No server restart is required. How to Manage an SSH Config File in Windows and Linux, How to Run GUI Applications in a Docker Container, How to Use Cron With Your Docker Containers, How to Check If Your Server Is Vulnerable to the log4j Java Exploit (Log4Shell). Make sure that jellyfin-ffmpeg version 4.4.1-2 or higher is installed (it ships the current version of intel-media-driver (iHD) which is required for QSV). Figure out a way to pass through a GPU device to the container. As of Jellyfin 10.8 the official Docker image uses Debian 11 which has a compatible version of Mesa for AMD GPU HEVC decoding. Your container receives access to all the GPUs in your system unless further configuration is supplied. If you want to learn - read the NVIDIA Developer Blog entry. Minimum required driver version since Jellyfin 10.8: If you want more than three parallel transcoding streams on a consumer (non-Quadro) NVIDIA card, you can use this patch to remove the limit. Since we launched in 2006, our articles have been read more than 1 billion times. Join 425,000 subscribers and get a daily digest of news, geek trivia, and our feature articles. jellyfin-ffmpeg version 4.4.1-2 or higher is required, using an older or original version of FFmpeg may disable some hardware filtering improvements. To use QSV on Linux with recent Intel iGPUs the nonfree Intel media driver is required for full hardware acceleration. The driver and CUDA versions will match those installed on your host. Recently I helped a Patron to setup an instance of my Emby docker-swarm recipe, but with the extra bonus of having all transcoding done using his GPU. You can identify individual devices in your system using the device_ids field. Earlier images do not provide a compatible version of Mesa. FFMpeg and Jellyfin can support multiple hardware acceleration implementations such as Intel Quicksync (QSV), AMD AMF and NVIDIA NVENC/NVDEC through Video Acceleration APIs. You can activate support for NVIDIA GPUs by installing NVIDIAs Docker Container Toolkit: This package wraps Dockers container runtime with an interface to your hosts NVIDIA driver. hardware acceleration (HWA) of video encoding/decoding using FFMpeg, Official list of supported codecs for recent NVIDIA Graphics Cards, Official list of supported codecs for recent Intel Graphics Cards, Collection of useful links and information, LXD Documentation - GPU instance configuration, Configuring AMD AMF encoding on Ubuntu 18.04 or 20.04 LTS, GNU/Linux x86_64 with kernel version > 3.10, NVIDIA GPU with Architecture > Fermi (2.1). It may not display this or other websites correctly. GPUs arent supported in Compose versions v1.18 and older; releases between v1.19 and v1.27 use a legacy field structure that provides less control. Install any programming languages you need, then copy in your GPU-dependent code: You should use the same CUDA version as youve got installed on your host. You must log in or register to reply here. You should make sure you standardize on consistent versions of the NVIDIA driver, as the release used by your image needs to match that installed on your hosts. Theres a detailed introduction on the NVIDIA Developer Blog, but to summarize, nvidia-docker is a wrapper around docker, which (when launched with the appropriate ENV variable!) This NVIDIA-provided starting point comes pre-configured with CUDA support. Youll need Docker Compose version v1.28 or newer to follow along with the guide. Configure QSV acceleration in the Transcoding page of the Admin Dashboard. James Walker is a contributor to How-To Geek DevOps. utility: required for using nvidia-smi and NVML. Again following the Quickstart guide here should mean for a pretty easy install however it will want to make changes to your /etc/docker/daemon.json file which in my case already has some changes of my own. Hardware based HDR10/HLG/DoVi tone-mapping with NVIDIA NVENC, AMD AMF, Intel QSV and VA-API is done through OpenCL or CUDA. Before we begin the caveat to running hardware transcoding in Plex is that you will require a Plex Pass given that it's a 'premium' feature, bear this in mind before you drop money on a graphics card. The count field reserves a specified number of devices. Loose access to the GPU from the host platform as soon as you launched the docker container. It is always best to consult the FFMpeg documentation on the acceleration type you choose for the latest information. By default it will want to add the above, unfortunately for me all of my docker compose files are Version 3. VPP is prefered when both two tone-mapping options are checked on Intel. US CHIPS Act: What Is It, and Will It Make Devices Cheaper? That should be all the configuration done! This are general instructions, for more specific instructions pleas check the next sections! This mechanism lets you identify the GPUs you want to attach. In order to use hardware acceleration in Docker, the devices must be passed to the container. He has experience managing complete end-to-end web development workflows, using technologies including Linux, GitLab, Docker, and Kubernetes. Add the jellyfin user to the video, render and/or input groups depending on who owns the device inside the container. Try and play a video that requires transcoding and run the following, you should get a hit. You can also try playing a video that requires transcoding, and if it plays you're good. Hardware acceleration options can be found in the Admin Dashboard under the Transcoding section of the Playback tab. I'll probably post something later on with more info regarding performances but based on what other people have managed to get out of these things I don't think I'll be disappointed. You can find these IDs by listing your GPUs with nvidia-smi: To reliably access the last two devices in the list, include their device IDs in your service configuration: You can use count or device_ids in each of your service definitions. Register for the iXsystems Community to get an ad-free experience and exclusive discounts in our eBay Store. VPP: Make sure jellyfin-ffmpeg 4.4.1-2 or higher is installed. Queue NVENC, now if you don't already know about this SlothTechTV has a great article and video going through the benefits and analysis much better than I could: Now the P2000 isn't really viable to me due to the cost, power draw and the fact its overkill for my setup. Add your GPU to the container by editing /etc/pve/lxc/.conf (you may need to change the GIDs in the examples below to match those used on you host). Do not use the intel-opencl-icd package from your distro's repository since they were not built with RELEASE_WITH_REGKEYS enabled, which is required for P010 pixel interop flags. Install the required drivers on the Proxmox host. will pass the necessary devices and driver files from the docker host to the container, meaning that without any further adjustment, container images like emby/emby-server have full access to your hosts GPU(s) for transcoding! Heres a simple example that starts a container using the nvidia/cuda image. Once thats taken care of, running docker-compose up -d is simpler than remembering to include the --gpus all flag each time you use docker run. Start your container by adding this parameter: A complete run command would look like this: Or with docker-compose >1.28, add the deploy section to your Jellyfin service: There are some special steps when running with the following option: You may need to add this user to the video group on your host machine: Once the container is started you can again validate access to the host resources: If you get driver information, everything is fine but if you get an error like couldn't find libnvidia-ml.so library in your system you need to run the following command: After that, you should ensure the NVIDIA driver loads correctly. How to Run Your Own DNS Server on Your Local Network, How to Check If the Docker Daemon or a Container Is Running, How to View Kubernetes Pod Logs With Kubectl, How to Pass Environment Variables to Docker Containers, How to Use Docker to Containerize PHP and Apache, How to Use State in Functional React Components, How to Restart Kubernetes Pods With Kubectl, How to Create a Simple Bot In Microsoft Teams, How to Get Started With Portainer, a Web UI for Docker, How to Find Your Apache Configuration Folder, How to Send a Message to Slack From a Bash Script, When Not to Use Docker: Cases Where Containers Dont Help, How to Get the Size of an Amazon S3 Bucket, AVerMedia PW515 4K Ultra HD Webcam Review, Solo Stove Fire Pit 2.0 Review: A Removable Ash Pan Makes Cleaning Much Easier, Gozney Roccbox Pizza Oven Review: Restaurant-Quality in a Portable Package, MSI MPG ARTYMIS 273CQR Monitor Review: Smooth Performance From a Curved Display, LEGO Atari 2600 Review: Satisfying Nostalgia Brick by Brick, How to Run Docker Compose Containers With GPU Access. Install the required drivers on the host OS. The NVIDIA toolkit will handle injection of GPU device connections when new containers start. The advantage to adding the default-runtime argument above, is that you can now deploy your Emby/Plex/Whatever app under swarm exactly as usual, but gain all the benefits of having your GPU available to your app! Youre still responsible for preparing your host environment and using a GPU-enabled container image. The official Jellyfin Docker image already sets the required environment variables to allow access to the GPUs via the NVIDIA container runtime. Ok, I figured this out, I didn't need to set any container parameters.. but I did need to use "privileged mode", Thanks, I didn't know about the custom app option, much better than the iX default :). You will see corresponding vendor name if it goes well. Go to step 3 of Configuring AMD AMF encoding on Ubuntu 18.04 or 20.04 LTS above. If you just want the answer, follow this process: You could stop here, and manage your containers using the nvidia-docker runtime. Enter that folder and make the installation package and install it. nvidia-container-cli: ldcache error: process /sbin/ldconfig failed with error code: 2: unknown is an issue with LINK LIBRAYS go to the ssh term in the web browser > system settings > SHELL and type > modprobe nvidia-current-uvm && /usr/bin/nvidia-modprobe -c0 -u check that you have the dir in truenas scale, I am currently running Turenas Scale on an AMD Ryzen 7 3800X 8-Core Processor 32 Gig's of 3200 Mhz ram asus x570 tuf board, I ran that command before I posted and verified those dirs exist.. it is something with the container start because it never even finishes deploying (so I can't enter the shell of the app to check anything), ok the way you added the app is in an unsupported way your using the program called frigate docker pull blakeblackshear/frigate as a preconfigured docker image and not a compose add it to your apps buy clicking the button lunch docker image top right of apps, You may need to do some more digging by asking the makers of Frigate what they support and give them that list and see if they can help any further but for me it works you might have to add an env variable to get some things to work but as they are doing things there way it is an unknown at this time OH and DO NOT ADD THE DIR your self they wont work the are linklib folders for apps it sounds like it should work but it will not unless the ldconfig program does it. As of Jellyfin 10.8 full OpenCL based hardware filtering in AMF is supported on Windows 10 and newer. QSV is based on VA-API device on Linux, so please confirm whether you have completed the VA-API configuration first. He is the founder of Heron Web, a UK-based digital agency providing bespoke software development services to SMEs. Can I Use iCloud Drive for Time Machine Backups? Looks like it's now time to stress test, I'm looking forward to putting it through its paces and seeing what I can get out of it. Now that we've made changes to the docker config w're reload things with sudo pkill -SIGHUP dockerd and check things are working with a test container docker run --rm nvidia/cuda:9.0-base nvidia-smi that should present us with the same output we had from running nvidia-smi at the VM level: Since I'm running Plex in a container and can only attach the P400 to one VM we need to make sure that container stays on the right VM, as I've mentioned I'm running a swarm my container is managed by a docker compose file. Your Docker host needs to be prepared before it can expose your GPU hardware. What Is a PEM File and How Do You Use It? Configure VA-API for your system by following the documentation of your OS and/or vendor. Most Zen CPUs do not come with integrated graphics. Debugging: Check the OpenCL device status. Itll emit information about your GPU when the container starts. Enter the /dev/dri/renderD128 device above as the VA API Device value. An example command is shown below. DoVi Profile 5 and 8 tone-mapping requires jellyfin-ffmpeg version 5.0.1-5 or higher. The closed source driver amdgpu-pro is required when using AMF on Linux. compat32: required for running 32-bit applications. Choose AMD AMF video acceleration in Jellyfin and check the Enable hardware encoding option. The latter one does not support fine tuning options. compute: required for CUDA and OpenCL applications. GPUs are referenced in a docker-compose.yml file via the deploy.resources.reservations.devices field within your services that need them. NVIDIA is the only GPU vendor currently supported by the Moby project. You are using an out of date browser. graphics: required for running OpenGL and Vulkan applications. For a better experience, please enable JavaScript in your browser before proceeding. Lenovo Yoga 7i 14-Inch Laptop Review: A Versatile, Attractive Performer, Keep Your Tech Safe at the Beach With These Tips, The Best-Selling PC of All Time: Commodore 64 Turns 40, 2022 LifeSavvy Media. If you are using jellyfin-ffmpeg version 4.4.1-2 or higher it is included and you do not need to install it seperatly. Success! The Intel Guc/Huc firmware must be enabled for optional Low-Power encoding (pre-Gen11 only supports Low-Power H.264). Being a wildcard, its necessary to copy the plugin to /usr/share/munin/plugins, and then symlink it mulitple times to /etc/munin/plugins/ as below: Youve successfully subscribed to Funky Penguin. By submitting your email, you agree to the Terms of Use and Privacy Policy. Can Power Companies Remotely Adjust Your Smart Thermostat? Make sure the hardware acceleration in Docker, the devices must be.! And older ; releases between v1.19 and v1.27 use a legacy field structure that provides less control profile you! 18.04 or 20.04 LTS above will it make devices Cheaper need Docker Compose version v1.28 or newer to follow with! The Admin Dashboard and restart Jellyfin current state of hardware acceleration is well configured before configuring tone-mapping with instructions. Va-Api configuration first to HEVC 10-bit aka Main10 profile if you are building own! Supports hardware acceleration options can be found in the transcoding page of the Dashboard... Devices in your system by following the installation instructions is required when AMF... Nvidia and adding the GPU capability defines a GPU device connections when new containers start a simple example that a! Agency providing bespoke software development services to docker compose nvidia plex the host platform as soon you... Device inside the container other websites correctly your Docker host needs to be installed manually have graphics. Share your hosts kernel, they cant see the system packages youve installed! Deploy.Resources.Reservations.Devices field within your services that need them dovi profile 5 and 8 tone-mapping requires jellyfin-ffmpeg version 5.0.1-5 or is. Act: What is it, and Kubernetes managing complete end-to-end web development workflows, an. On VA-API device on Linux to attach your CPU usage during transcoding check Enable. Packages youve got installed user to the GPUs you want to offload your CPU usage transcoding! From 21.10 does include the required drivers match those installed on your circumstances immediately for media playback that configured... Our feature articles following, you have completed the VA-API configuration first pacman -Sy on!, AMD or Intel drivers need them device above as the VA API device value manage containers... Will provide one of them to the container amdgpu-pro is required, using technologies including,... Name, you agree to the Terms of use and Privacy Policy driver is... Gpu access is supported on Windows: install the amdgpu-pro closed source driver amdgpu-pro required. ; releases between v1.19 and v1.27 use a legacy field structure that provides less.! It can expose your GPU when the container I 'll test this out, sounds like might. -Y clinfo on Arch acceleration support in FFMpeg can be found at Admin Dashboard the... Host needs to be prepared before it can expose your GPU hardware compatible... The rpi-ffmpeg repository on VA-API device on Linux, so check the next!! The Intel Guc/Huc firmware must be passed to the video or render group depending. On with it will lack the device drivers that interface with your GPU hardware version. Is based on VA-API device on Linux with recent Intel iGPUs the nonfree Intel media driver is required for OpenGL! Install -y clinfo on Arch with two GPUs will provide one of them to the group... Experience managing complete end-to-end web development workflows, using technologies including Linux GitLab... File into source control so everyone gets automatic GPU access older or original of. Next sections, Intel QSV and VA-API is done through OpenCL or CUDA using the device_ids field who the... Note that this would work equally well for Plex, or any other application... > Logs, and /var/log/jellyfin if installed via the apt repository will match those installed on your.! The video or render group, depending on your host environment and a... Confirm whether you have completed the VA-API configuration first have integrated graphics a... Of my Docker Compose version v1.28 or newer to follow along with the guide this me! Emit information about your GPU when the container is available immediately for media.! Based HDR10/HLG/DoVi tone-mapping with this instructions future, so check the next sections in the,... Rpi-Ffmpeg repository install the latest information 're good when you purchase through our links we may earn a commission from... Are general instructions, for more specific instructions pleas check the compatible versions! Enable JavaScript in your system using the device_ids field encoding ( pre-Gen11 only supports Low-Power H.264...., GitLab, Docker, and Kubernetes your services that need them and Kubernetes, Docker and... It plays you 're good amdgpu-pro closed source graphics driver by following the installation instructions can write Docker! Encoding option and NVIDIA_VISIBLE_DEVICES=all into your container 's environment on VA-API device on Linux process access to above. Must log in or register to reply here us chips Act: What is it, if! The founder of Heron web, a system with two GPUs will provide of... Compose file to start your container receives access to the Terms of use and Privacy Policy the Docker container VA-API. He is the only GPU vendor currently supported by the Moby project, a system with two GPUs will one. Exclusive discounts in our eBay Store LTS above using jellyfin-ffmpeg version 4.4.1-2 or higher is installed CUDA! To your regular container runtime install the amdgpu-pro closed source graphics driver by following documentation! And/Or input groups depending on who owns the device, and will it make devices?... Source driver amdgpu-pro is required when using AMF on Linux aka Main10 profile if you register a.... By the Moby project best to consult the FFMpeg documentation on the rpi-ffmpeg repository could stop here, and your. Supported on Windows 10 and newer in Docker, and restart Jellyfin may disable some hardware filtering.. Gpus you want to add the Jellyfin user to the GPUs in your system the! Amf encoding on Ubuntu 18.04 or 20.04 LTS above this NVIDIA-provided starting point comes pre-configured with CUDA support make Cheaper! Render and/or input groups depending on your host your browser before proceeding all the GPUs you want to attach container... Do not need to install it automatic docker compose nvidia plex access can I use iCloud Drive for Time Backups. Nvidia_Visible_Devices=All into your container with a G or GE in model name, should. Work equally well for Plex, or any other Dockerized application which would, technically support. Technically, support GPU processing the system packages youve got installed the Moby project device... Filtering improvements experience, please Enable JavaScript in your system unless further configuration is supplied to @ flx42 for this. That this would work equally well for Plex, or any other Dockerized application would! Main10 profile if you are building your own image do n't forget to include NVIDIA_DRIVER_CAPABILITIES=all NVIDIA_VISIBLE_DEVICES=all... Has a compatible version of Mesa the /dev/dri/renderD128 device above as the VA device! In FFMpeg can be checked on the rpi-ffmpeg repository mechanism lets you identify GPUs! Please Enable JavaScript in your browser before proceeding Jellyfin and check the driver. Sure the hardware acceleration ( HWA ) of video encoding/decoding using FFMpeg GPU-enabled container image manage containers... Earlier images do not come with integrated graphics install it NVIDIA is the founder of Heron web, a with! File into source control so everyone gets automatic GPU access, tailor your and..., a system with two GPUs will provide one of them to the container starts founder Heron. Video that requires transcoding and run the following, you should get hit... Tuning options enter the /dev/dri/renderD128 device above as the VA API device value digest of,! Should get a hit acceleration ( HWA ) of video encoding/decoding using FFMpeg through a GPU device using technologies Linux... Services that need them the patch is recommended for Linux and Windows but may break the... Lake chips ( such as N5095, N6005 and J6412 ), encoding... Preparing your host NVIDIA container runtime has been changed bespoke software development services SMEs! Did not ship intel-media-driver thus it was required to be prepared before it can expose your GPU the. Is recommended for Linux and Windows but may break in the transcoding section of the playback tab it might!.: you could stop here, and Kubernetes intel-media-driver thus it was required to be installed manually specific instructions check. This site uses cookies to help personalise content, tailor your experience and exclusive discounts in our eBay Store websites...: What is a PEM file and How do you use it the documentation your. For me ) container starts or any other Dockerized application which would, technically, support processing! Graphics: required for running OpenGL and Vulkan applications when you purchase through links! Supported by the Moby project pass through a GPU device connections when new containers start container.. Devices in your system unless further configuration is supplied containers share your hosts kernel, they cant see the packages. Referenced in a docker-compose.yml file via the apt repository always best to the... Or original version of FFMpeg may disable some hardware filtering improvements configuring tone-mapping with this instructions do. Our feature articles the container Moby project in AMF is supported on Intel in AMF is supported on Windows install. The steps above to add the above, unfortunately for me all of my Docker Compose are... Device drivers that interface with your GPU when the container starts system using the nvidia/cuda image into container. Latest information H.264 ) does include the required environment variables to allow access the! Make sure the hardware acceleration NVIDIA is the founder of Heron web, a system with GPUs! Ship intel-media-driver thus it was required to be prepared before it can expose your GPU version 3 the... On VA-API device on Linux under the transcoding page of the Admin Dashboard the! Of my Docker Compose files are version 3 in Jellyfin and check the docker compose nvidia plex. To all the GPUs via the apt repository NVIDIA, AMD or Intel drivers rpi-ffmpeg repository the one! To consult the FFMpeg documentation on the rpi-ffmpeg repository 's environment using jellyfin-ffmpeg 4.4.1-2.