this post was submitted on 21 Sep 2024
45 points (95.9% liked)

Selfhosted

40133 readers
580 users here now

A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don't control.

Rules:

  1. Be civil: we're here to support and learn from one another. Insults won't be tolerated. Flame wars are frowned upon.

  2. No spam posting.

  3. Posts have to be centered around self-hosting. There are other communities for discussing hardware or home computing. If it's not obvious why your post topic revolves around selfhosting, please include details to make it clear.

  4. Don't duplicate the full text of your blog or github here. Just post the link for folks to click.

  5. Submission headline should match the article title (don’t cherry-pick information from the title to fit your agenda).

  6. No trolling.

Resources:

Any issues on the community? Report it using the report flag.

Questions? DM the mods!

founded 1 year ago
MODERATORS
ruud@lemmy.world
Loki@lemmy.world
CannaVet@lemmy.world
devve@lemmy.world
HybridSarcasm@lemmy.world
HybridSarcasm@lemmy.hybridsarcasm.xyz
45
Jellyfin hardware acceleration docker issues. (lemmy.world)
submitted 1 month ago by hoxbug@lemmy.world to c/selfhosted@lemmy.world
17 comments fedilink hide all child comments
 

Having a bit of trouble getting hardware acceleration working on my home server. The cpu of the server is an i7-10700 and has a discrete GPU, RTX 2060. I was hoping to use intel quick sync for the hardware acceleration, but not having much luck.

From the guide on the jellyfin site https://jellyfin.org/docs/general/administration/hardware-acceleration/intel

I have gotten the render group ID using "getent group render | cut -d: -f3" though it mentions on some systems it might not be render, it may be video or input which i tried with those group ID's as well.

When I run "docker exec -it jellyfin /usr/lib/jellyfin-ffmpeg/vainfo" I get back

libva info: VA-API version 1.22.0
libva info: Trying to open /usr/lib/jellyfin-ffmpeg/lib/dri/nvidia_drv_video.so
libva info: Trying to open /usr/lib/x86_64-linux-gnu/dri/nvidia_drv_video.so
libva info: Trying to open /usr/lib/dri/nvidia_drv_video.so
libva info: Trying to open /usr/local/lib/dri/nvidia_drv_video.so
libva info: va_openDriver() returns -1
vaInitialize failed with error code -1 (unknown libva error),exit

I feel like I need to do something on the host system since its trying to use the discrete card? But I am unsure.

This is the compose file just in case I am missing something

version: "3.8"
services:
  jellyfin:
    image: jellyfin/jellyfin
    user: 1000:1000
    ports:
      - 8096:8096
    group_add:
      - "989" # Change this to match your "render" host group id and remove this comment
      - "985"
      - "994"
    # network_mode: 'host'
    volumes:
      - /home/hoxbug/Docker/jellyfin/config:/config
      - /home/hoxbug/Docker/jellyfin/cache:/cache
      - /mnt/External/Movies:/Movies
    devices:
      - /dev/dri/renderD128:/dev/dri/renderD128
networks:
  external:
    external: true

Thank you for the help.

you are viewing a single comment's thread
view the rest of the comments
[–] bobslaede@feddit.dk 5 points 1 month ago (1 children)

This is how mine works, with a Nvidia GPU

services:
  jellyfin:
    volumes:
      - jellyfin_config:/config
      - jellyfin_cache:/cache
      - type: tmpfs
        target: /cache/transcodes
        tmpfs:
          size: 8G
      - media:/media
    image: jellyfin/jellyfin:latest
    restart: unless-stopped
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              device_ids:
                - "0"
              capabilities:
                - gpu
[–] notfromhere@lemmy.ml 3 points 1 month ago (1 children)

What is the tmpfs for?

[–] bobslaede@feddit.dk 8 points 1 month ago (1 children)

Temp files for transcoding. No need to hit the disk.

[–] __ghost__@lemmy.ml 4 points 1 month ago (3 children)

Is the tmpfs on RAM?

[–] 486@lemmy.world 2 points 1 month ago (1 children)

It is. It might end up on disk in swap, if you run low on memory (and have some sort of disk-based swap enabled), but usually it is located in RAM.

[–] __ghost__@lemmy.ml 1 points 1 month ago* (last edited 1 month ago) (1 children)

You can create a tmpfs on other storage devices as well, just curious what their setup looked like

[–] 486@lemmy.world 1 points 1 month ago* (last edited 1 month ago)

No, tmpfs is always located in virtual memory. Have a look at the kernel documentation for more information about tmpfs.

[–] bobslaede@feddit.dk 1 points 1 month ago

Hmm. I would think so. But I haven't actually checked. That was my thought.