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I've been running Emby with GPU transcoding for multiple years now but if i try to update past version 4.7.6.0 (Linuxserver docker) the container won't even finish the configuration but i can't come here and ask for help with someone elses container so i've been trying to resolve my issues with the official Emby/Embyserver container and i'm hoping for some help The container start fine but nvidia-smi is not found in the shell and the logs are showing: ffdetect_nvencdec Process exited with code 1 nCannot load libcuda.so.1\nError loading CUDA functions\n\n","Result":{ Configuration": "--cc=x86_64-emby-linux-gnu-gcc ...... }, "Error": { "Number": -1, "Message": "Operation not permitted" }, "Log": [ { "Level": 16, "Category": 0, "Message": "Cannot load libcuda.so.1" }, { "Level": 16, "Category": 0, "Message": "Error loading CUDA functions" And clicking advanced under hardware acceleration gives no options Host is Arch Linux 6.1.3-arch1-1, I've been trying to see if this works every few months so it has been tried with older kernels through those months. Emby premiere is enabled Gpu is a quadro p620p NVIDIA-SMI 525.78.01 Driver Version: 525.78.01 CUDA Version: 12.0 docker 1:20.10.22-1 (latest) libnvidia-container 1.5.1-1 libnvidia-container-tools 1.5.1-1 nvidia-container-runtime 3.5.0-2 nvidia-container-toolkit 1.5.1-1 I've previously used the official Emby container without issues but i have never before tried it with hardware encoding For the purpose of finding the issue i've been testing on a fresh install of the official Emby/Embyserver container from hub.docker with premium enabled I've tried other media servers to see if hardware encoding works there and it does I've tried to go backwards with the official Emby docker container but can't seem to find an older version that work with hardware acceleration I've tried to roll back my drivers to an older version with no luck nvidia-smi is not found when run from the containers shell I've seen an issue or two here that resemble mine but they either don't come to a conclusion, Have a different cuda errror or and have not attempted running other containers that requre GPU acceleration, Which works flawlessly for me docker-compose: embytest: image: emby/embyserver:latest hostname: embytest.docker container_name: embytest restart: always networks: - frontend # ports: # - 9096:9096 # - 9920:9920 mem_limit: 4g runtime: nvidia devices: - /dev/dri:/dev/dri deploy: resources: reservations: devices: - capabilities: [gpu] environment: - UID=${PUID} - GID=${PGID} - GIDLIST=985,989 - NVIDIA_VISIBLE_DEVICES=all volumes: - ${DOCKER_HOME}/embytest:/config - media:/mnt/media dns: - 1.1.1.1 - 1.0.0.1 How i configured my host to enable the nvidia-container-runtime Blacklisted nouveau added the kernel parameter (systemd.unified_cgroup_hierarchy=false) edited /etc/nvidia-container-runtime/config.toml (no-cgroups = false) rebuild the boot image added: /etc/docker/daemon.json with: rebooted { "runtimes": { "nvidia": { "path": "/usr/bin/nvidia-container-runtime", "runtimeArgs": [] } } } installed the latest good nvidia driver that works with the nvidia patch patched nvidia rebooted gpu acceleration with the linuxserver docker would not work without this added to docker-compose: deploy: resources: reservations: devices: - capabilities: [gpu] hardware_detection-63808684426.txt embyserver(2).txt

Newly installed Nvidia Quatro K2000 in a Dell R910 - hw transcoding I just installed a Quatro K2000 2G video card into my Dell R910 into a native16x PCI-e slot. I modified the heatsink and installed a large fan to help keep it cooler and make it fit into the server case. It's staying pretty cool. Now the reason I did this was for several reasons actually. Running on a VM is not always the best approach. Having hardware support should improve performance. I want 4K movies to not skip and stutter while watching them (transcoding - usually always audio) I recently bought an HD HomeRun and want better performance (similar to 4K issues). And this has been something I have been wanting to do for a while. I would rather do this than buy a Synology or QNAP or build a dedicated workstation. All that said... not much improved after installing the card. Maybe a slight improvement, but overall I am still not happy with the implementation. Video still stutters with 4K movies - unwatchable Live TV still stutters unless I pause it for 5 seconds, play again and then it's fine - I feel like this should still not happen. This used to not happen with my 4K movies even with transcoding enabled running on a VM in vCenter on the same server without a physical video card. I am not certain what happened 3-4 years back but before that point, 4K movies played perfectly. Too hard to try and understand what changed. All I want to do is understand how to fix this moving forward. I have several devices I can test this with: Web browsers Nvidia Shield Pro LG OLED TV LG LCD TV Android Phones iPhones iPad PC / MacBook All of them give me the same results. I can provide any details needed to narrow down where the issue is and if in the end this simply is not a good setup (running on a VM with passthrough) then I will buckle down and buy a Synology of QNAP or hell even build a dedicated media box out of some older hardware using the video cards I have here at home. (spare 1030 and 1080). Current specs: OS: Ubuntu 20.04.3 LTS CPU: 16 Memory: 32 GB Storage: SAS SSD Storage for Transcoding: SAS SSD Dedicated Audio/Video: Nvidia Quatro K2000 (2GB) hardware_detection-63769669756.txt ffmpeg-transcode-b53abc80-c465-4ef9-b1f9-3c82cd0a5a67_1.txt

hello !, we have completed the installation of emby server on ubuntu 17 machine and we have installed the nvidia drivers for the p4000 board, unfortunately also setting from the transcoding menu of emby with NVENC is not performed on GPU but on CPU, while using the following command on the same machine the NVENC hardware transcoding is performed correctly: "time ffmpeg -i /home/utente/film.mkv -acodec copy -vcodec nvenc /home/utente/test.mp4" What operation should we perform to make the NVENC hardware transcoding work on Emby? Thanks in advance!