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    Jellyfin Forum Support Troubleshooting Jellyfin on a RPI4 4GB with 4K media

     
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    Jellyfin on a RPI4 4GB with 4K media

    Being forced to migrate my Jellyfin server
    hzq23x
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    Junior Member

    Posts: 1
    Threads: 1
    Joined: 2023 Jul
    Reputation: 0
    #1
    2023-07-28, 03:03 PM
    Currently got Jellyfin running in a container on an old laptop with 16GB RAM and transcoding support with Intel. My dad is suddenly on my ass and wants the laptop back, the only other option I've got to migrate my system to is a RPI 4 currently running Home Assistant OS.

    Can I shift to running both Home Assistant and Jellyfin running in containers on the RPI 4 (4GB RAM) without taxing the system resources?
    Also worth noting that most of my current media is 4K H.265. 

    Would transcoding work and if it does will it bottleneck the system?
    Currently just starting to dive into the Linux and container rabbit hole so excuse my excessive questioning.
    hov
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    Junior Member

    Posts: 31
    Threads: 6
    Joined: 2023 Jun
    Reputation: 0
    #2
    2023-07-29, 08:05 PM (This post was last modified: 2023-07-29, 08:08 PM by hov.)
    (2023-07-28, 03:03 PM)hzq23x Wrote: Currently got Jellyfin running in a container on an old laptop with 16GB RAM and transcoding support with Intel. My dad is suddenly on my ass and wants the laptop back, the only other option I've got to migrate my system to is a RPI 4 currently running Home Assistant OS.

    Can I shift to running both Home Assistant and Jellyfin running in containers on the RPI 4 (4GB RAM) without taxing the system resources?
    Also worth noting that most of my current media is 4K H.265. 

    Would transcoding work and if it does will it bottleneck the system?
    Currently just starting to dive into the Linux and container rabbit hole so excuse my excessive questioning.

    Transcoding is a no go for the Raspberry Pi 4. It's GPU simply isn't strong enough to handle any transcoding. If you got clients that can direct play x265 4K, that'd be fine on a raspberry pi.

    If you're worried about sharing system resources between HA and Jellyfin, recommend adding cpu and ram limits to your containers. Below is my docker compose for both in my setup:
    Code:
      jellyfin:
        image: jellyfin/jellyfin
        container_name: jellyfin
        group_add:
          - "106"
        environment:
          - PUID=1000
          - PGID=100
          - TZ=America/Los_Angeles
        volumes:
          - ./jellyfin/config:/config
          - ./jellyfin/cache:/cache
          - /srv/dev-disk-by-uuid-XXXXXXXXXXXXXXXX/downloads:/14TB/downloads
          - /srv/dev-disk-by-uuid-YYYYYYYYYYYYYYYY/downloads:/8TB/downloads
          - /Music:/Music
        ports:
          - 8096:8096
          - 8920:8920
          - 465:465
          - 587:587
          - 143:143
        devices:
          - /dev/dri/renderD128:/dev/dri/renderD128
        restart: unless-stopped
        cpus: '4'
        mem_limit: 4g
      homeassistant:
        container_name: homeassistant
        image: "ghcr.io/home-assistant/home-assistant:stable"
        volumes:
          - ./homeassistant:/config
          - /etc/localtime:/etc/localtime:ro
        restart: unless-stopped
        privileged: true
        network_mode: host
        cpus: '2'
        mem_limit: 2g

    Notice the last 2 lines of each container section showing cpu and mem limits

    Also, this is the wrong subforum lol
    13100 CPU for server
    Venson
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    Moderator, Server Dev, XBox Maintainer

    Posts: 375
    Threads: 7
    Joined: 2023 Jun
    Reputation: 15
    Country:Germany
    #3
    2023-09-08, 07:05 AM
    Moved from Jellyfin Forum -> Support -> Guides, Walkthroughs & Tutorials
    typos are finders, keepers.
    Next Jellyfin release 10.11.0 will be Soon™
    Soon™ is an unregistered trademark of Jellyfin International
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