Jellyfin: Difference between revisions
Adding in warning information about current issues with the jellyfin-desktop package as well as some easy fixes |
Add details for NVENC, as without these Jellyfin will fail with hardware encoding. |
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Modern hardware often includes video acceleration capabilities that can significantly reduce CPU usage during transcoding. For detailed information, see the [https://jellyfin.org/docs/general/post-install/transcoding/hardware-acceleration/ official Jellyfin documentation].<ref name="jellyfin-hw">Jellyfin Documentation Team, "Hardware acceleration", Jellyfin Documentation, Accessed October 2025. https://jellyfin.org/docs/general/post-install/transcoding/hardware-acceleration/</ref> | Modern hardware often includes video acceleration capabilities that can significantly reduce CPU usage during transcoding. For detailed information, see the [https://jellyfin.org/docs/general/post-install/transcoding/hardware-acceleration/ official Jellyfin documentation].<ref name="jellyfin-hw">Jellyfin Documentation Team, "Hardware acceleration", Jellyfin Documentation, Accessed October 2025. https://jellyfin.org/docs/general/post-install/transcoding/hardware-acceleration/</ref> | ||
==== NVENC ==== | |||
Nvidia GPU's use NVENC for hardware encoding. To use this, CUDA must be enabled: | |||
{{Code|1={ | |||
nix.settings = { | |||
substituters = [ | |||
"https://cache.flox.dev" | |||
]; | |||
trusted-public-keys = [ | |||
"flox-cache-public-1:7F4OyH7ZCnFhcze3fJdfyXYLQw/aV7GEed86nQ7IsOs=" | |||
]; | |||
}; | |||
nixpkgs.config.cudaSupport = true; | |||
}|lang=nix}} | |||
==== VAAPI and Intel QSV ==== <!--T:19--> | ==== VAAPI and Intel QSV ==== <!--T:19--> | ||