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    Useful Links Forum Website GitHub Status Translation Features Team Rules Help Feeds
    Jellyfin Forum Support General Questions How can I take advantage of my graphics card?

     
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    How can I take advantage of my graphics card?

    How can I take advantage of my graphics card when I am using Jellyfin (jail) on TrueNAS Core 13.0-U5.3?
    simos.sigma
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    #1
    2023-08-30, 10:18 AM
    Hello!!!

    I have installed "TrueNAS Core 13.0-U5.3" and "Jellyfin" (as a jail on TrueNAS) on an old machine with the following specifications:

    Quote:MB: Asrock 4Core1600Twins-P35
    LAN: Onboard 1000baseT
    CPU: Intel® Core™2 Quad CPU Q9550 @ 2.83GHz
    RAM: 6GiB
    VGA: ASUS GTX 560 DirectCU II OC
    Drives: 120GB SSD (System disk with 16GB swapped), 120GB SSD (plugins pool) and 4TB HDD (tank pool)
    TrueNAS Core Version: TrueNAS-13.0-U5.3
    Jellyfin Version: 10.8.10_2

    Is there any way to take advantage of my graphics card when I use "Jellyfin", or will it always use the CPU of the machine where "TrueNAS Core" and "Jellyfin" are installed?

    Thank you for your time!!!
    TheDreadPirate
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    #2
    2023-08-30, 04:48 PM
    Fermi graphics card don't have NVENC and it doesn't have enough CUDA performance to transcode with VAAPI.
    Jellyfin 10.10.7 (Docker)
    Ubuntu 24.04.2 LTS w/HWE
    Intel i3 12100
    Intel Arc A380
    OS drive - SK Hynix P41 1TB
    Storage
        4x WD Red Pro 6TB CMR in RAIDZ1
    [Image: GitHub%20Sponsors-grey?logo=github]
    bitmap
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    #3
    2023-08-30, 06:32 PM (This post was last modified: 2023-08-30, 06:36 PM by bitmap. Edited 1 time in total.)
    Could this card be leveraged to re-encode files in the background? I'm unfamiliar with NVIDIA cards and the processing capabilities as I was out of the game for about 20 years (since high school) and have just recently returned as a self-hosting/homelabs nerd. That might be a bit wasteful, but if it's just drawing power at the moment, it's either that or pull it from the rig entirely...

    Oh boy...answered my own question with the NVIDIA MATRIX OF DOOM: https://developer.nvidia.com/video-encod...matrix-new

    The card isn't even listed. So probably not.
    Jellyfin 10.10.7 LSIO Docker | Ubuntu 24.04 LTS | i7-13700K | Arc A380 6 GB | 64 GB RAM | 79 TB Storage

    [Image: AIL4fc84QG6uSnTDEZiCCtosg7uAA8x9j1myFaFs...qL0Q=w2400]
    simos.sigma
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    #4
    2023-08-30, 07:23 PM
    (2023-08-30, 04:48 PM)TheDreadPirate Wrote: Fermi graphics card don't have NVENC and it doesn't have enough CUDA performance to transcode with VAAPI.

    (2023-08-30, 06:32 PM)bitmap Wrote: Could this card be leveraged to re-encode files in the background? I'm unfamiliar with NVIDIA cards and the processing capabilities as I was out of the game for about 20 years (since high school) and have just recently returned as a self-hosting/homelabs nerd. That might be a bit wasteful, but if it's just drawing power at the moment, it's either that or pull it from the rig entirely...

    Oh boy...answered my own question with the NVIDIA MATRIX OF DOOM: https://developer.nvidia.com/video-encod...matrix-new

    The card isn't even listed. So probably not.

    Searching with "Bard" I found this...
    Quote:Yes, the ASUS GTX 560 DirectCU II OC supports hardware encoding. It has a dedicated encoder chip that can encode video at a much faster rate than the CPU. This can be useful for streaming or recording gameplay.
    Here are the specifications of the ASUS GTX 560 DirectCU II OC:
    • GPU: NVIDIA GeForce GTX 560
    • Core clock: 822 MHz
    • Memory clock: 1202 MHz
    • Memory: 1.2 GB GDDR5
    • CUDA cores: 336
    • Memory bandwidth: 192 GB/s
    • Video encoder: NVIDIA NVENC
    The NVIDIA NVENC encoder is a hardware encoder that is built into the GTX 560 DirectCU II OC. It can encode video at a much faster rate than the CPU. This can be useful for streaming or recording gameplay.
    To use the NVIDIA NVENC encoder, you will need to install the NVIDIA GeForce Experience software. Once the software is installed, you can open it and click on the "Broadcast" tab. In the "Encoder" drop-down menu, select "NVIDIA NVENC". You can then configure the encoder settings as needed.
    I hope this helps!
    bitmap
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    #5
    2023-08-30, 07:27 PM
    Cool. Find the right drivers, install them, and give it a try. You can give the official Jellyfin HWA guide a shot but with a card that old you may need to find different drivers.

    https://jellyfin.org/docs/general/admini...on/nvidia/

    Also, AI lies to you...so don't believe everything it says...
    Jellyfin 10.10.7 LSIO Docker | Ubuntu 24.04 LTS | i7-13700K | Arc A380 6 GB | 64 GB RAM | 79 TB Storage

    [Image: AIL4fc84QG6uSnTDEZiCCtosg7uAA8x9j1myFaFs...qL0Q=w2400]
    simos.sigma
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    #6
    2023-08-30, 07:54 PM
    (2023-08-30, 07:27 PM)bitmap Wrote: Cool. Find the right drivers, install them, and give it a try. You can give the official Jellyfin HWA guide a shot but with a card that old you may need to find different drivers.

    https://jellyfin.org/docs/general/admini...on/nvidia/

    Also, AI lies to you...so don't believe everything it says...

    I know sometimes AI can be wrong... The thing is that I don't know how to install those drivers on TrueNAS Core!!!
    TheDreadPirate
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    #7
    2023-08-30, 08:17 PM
    Kepler was the first generation of Nvidia graphics card with NVENC/NVDEC. The 600 series. For the purposes of transcoding, the GTX 560 is not usable.
    Jellyfin 10.10.7 (Docker)
    Ubuntu 24.04.2 LTS w/HWE
    Intel i3 12100
    Intel Arc A380
    OS drive - SK Hynix P41 1TB
    Storage
        4x WD Red Pro 6TB CMR in RAIDZ1
    [Image: GitHub%20Sponsors-grey?logo=github]
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