2025-01-13, 02:59 PM
(This post was last modified: 2025-01-13, 03:08 PM by dynux. Edited 3 times in total.)
Hello,
i'm a total noob with Jellifyn and i'm trying to understand what i'm doing wrong.
I've setup Jellyfin in a docker environment with NVIDIA GPU for Transcoding (NVIDIA RTX 4060).
Jellyfin is hosted locally via direct http.
This are the settings:
The NVIDIA card is recognized successfully:
It happens that when i try to play certain files starts transcoding that takes 100% CPU (should not use GPU instead?) and results in buffering every 1-2 seconds:
log.txt (Size: 1.2 KB / Downloads: 58)
Transcoding logs:
transconding_logs.txt (Size: 50.1 KB / Downloads: 61)
I use Jellyfin app on Android Smartphone and Tablet with default values in the local lan via Wi-Fi.
Given this data these are my questions:
- Are my settings right?
- Why is transcoding instead of direct play?
- Why when transcoding takes 100% CPU and seems not using GPU?
Any help will be really appreciated.
Best regards
i'm a total noob with Jellifyn and i'm trying to understand what i'm doing wrong.
I've setup Jellyfin in a docker environment with NVIDIA GPU for Transcoding (NVIDIA RTX 4060).
Jellyfin is hosted locally via direct http.
This are the settings:
The NVIDIA card is recognized successfully:
It happens that when i try to play certain files starts transcoding that takes 100% CPU (should not use GPU instead?) and results in buffering every 1-2 seconds:
log.txt (Size: 1.2 KB / Downloads: 58)
Transcoding logs:
transconding_logs.txt (Size: 50.1 KB / Downloads: 61)
I use Jellyfin app on Android Smartphone and Tablet with default values in the local lan via Wi-Fi.
Given this data these are my questions:
- Are my settings right?
- Why is transcoding instead of direct play?
- Why when transcoding takes 100% CPU and seems not using GPU?
Any help will be really appreciated.
Best regards