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    Useful Links Forum Website GitHub Status Translation Features Team Rules Help Feeds
    Jellyfin Forum Support General Questions Best cheap GPU to use?

     
    • 0 Vote(s) - 0 Average

    Best cheap GPU to use?

    Interested in HW acceleration under Linux/Docker
    jebix666
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    Posts: 1
    Threads: 1
    Joined: 2023 Jul
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    Country:United States
    #1
    2023-07-22, 07:24 PM
    Just got done getting Jellyfin setup, and thinking I should add a GPU for the HW acceleration. 

    Currently running Rocky 8 Linux with Jellyfin though a docker container. 

    What would be a good(cheap hopefully) option for adding some hardware acceleration? 

    So far I love this software, its everything I wanted from Plex without all the bloat I did not want. 

    Current integrated GPU/CPU info

    Code:
    AMD A10-7860K Radeon R7, 12 Compute Cores 4C+8G

    $ lshw -C display
    WARNING: you should run this program as super-user.
      *-display
          description: VGA compatible controller
          product: Kaveri [Radeon R7 Graphics]
          vendor: Advanced Micro Devices, Inc. [AMD/ATI]
          physical id: 1
          bus info: pci@0000:00:01.0
          logical name: /dev/fb0
          version: d6
          width: 64 bits
          clock: 33MHz
          capabilities: vga_controller bus_master cap_list rom fb
          configuration: depth=32 driver=radeon latency=0 resolution=1680,1050
          resources: irq:51 memory:c0000000-cfffffff memory:d0000000-d07fffff ioport:f000(size=256) memory:feb00000-feb3ffff memory:c0000-dffff
    WARNING: output may be incomplete or inaccurate, you should run this program as super-user.

    Or maybe there is just something I need to do to expose the GPU to docker and my current setup should be enough? Want it to be able to handle at least two 1080p streams, but will likely want to upgrade so it can handle around 4-5 in the future. 

    Thanks!
    TheDreadPirate
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    Community Moderator

    Posts: 15,374
    Threads: 10
    Joined: 2023 Jun
    Reputation: 460
    Country:United States
    #2
    2023-07-22, 08:53 PM
    (2023-07-22, 07:24 PM)jebix666 Wrote: Just got done getting Jellyfin setup, and thinking I should add a GPU for the HW acceleration. 

    Currently running Rocky 8 Linux with Jellyfin though a docker container. 

    What would be a good(cheap hopefully) option for adding some hardware acceleration? 

    So far I love this software, its everything I wanted from Plex without all the bloat I did not want. 

    Current integrated GPU/CPU info

    Code:
    AMD A10-7860K Radeon R7, 12 Compute Cores 4C+8G

    $ lshw -C display
    WARNING: you should run this program as super-user.
      *-display
          description: VGA compatible controller
          product: Kaveri [Radeon R7 Graphics]
          vendor: Advanced Micro Devices, Inc. [AMD/ATI]
          physical id: 1
          bus info: pci@0000:00:01.0
          logical name: /dev/fb0
          version: d6
          width: 64 bits
          clock: 33MHz
          capabilities: vga_controller bus_master cap_list rom fb
          configuration: depth=32 driver=radeon latency=0 resolution=1680,1050
          resources: irq:51 memory:c0000000-cfffffff memory:d0000000-d07fffff ioport:f000(size=256) memory:feb00000-feb3ffff memory:c0000-dffff
    WARNING: output may be incomplete or inaccurate, you should run this program as super-user.

    Or maybe there is just something I need to do to expose the GPU to docker and my current setup should be enough? Want it to be able to handle at least two 1080p streams, but will likely want to upgrade so it can handle around 4-5 in the future. 

    Thanks!

    Its also possible that integrated GPU doesn't support the video codec.  AMD hardware acceleration drivers and configuration is weird, pre-Vega.
    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]
    STM
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    Posts: 8
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    Joined: 2023 Jul
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    Country:Germany
    #3
    2023-07-24, 10:05 PM
    I'm a noob when it comes to hardware transcoding, but I'd say an Intel Arc A380 and a kernel version 6.2+ should do the trick.
    joe
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    Junior Member

    Posts: 1
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    Country:United States
    #4
    2023-09-24, 12:23 AM
    I'm trying to decide if it is worth the effort to swap out the GTX 1050 that is currently in my server with the GTX 1660ti that came out of my son's computer for his upgrade. The PITA part of that will be finding the power cable, as the 1050 gets power from the slot, but the 1660ti requires the PCIE power cable to the PSU.
    TheDreadPirate
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    Community Moderator

    Posts: 15,374
    Threads: 10
    Joined: 2023 Jun
    Reputation: 460
    Country:United States
    #5
    2023-09-24, 02:46 AM
    (2023-09-24, 12:23 AM)joe Wrote: I'm trying to decide if it is worth the effort to swap out the GTX 1050 that is currently in my server with the GTX 1660ti that came out of my son's computer for his upgrade. The PITA part of that will be finding the power cable, as the 1050 gets power from the slot, but the 1660ti requires the PCIE power cable to the PSU.

    There is no appreciable difference in codec support between the 2 cards.  I can't speak for the quality difference, though.  My understanding is that there was a large difference going to the 3000 series, but not from 1000 to 1600/2000.
    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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    Community Moderator

    Posts: 915
    Threads: 9
    Joined: 2023 Jul
    Reputation: 30
    #6
    2023-09-24, 02:51 AM
    Second vote for the A380 from somebody who has one. Lemme know if you have questions. Been putting that thing through the ringer as it was bought 100% for encoding purposes.
    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]
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