tonywang1201

I 've updated the plugin and tried again, the "active app" still remain the same screenshot of plugin: version of plugin: analytical statistics: Wed Oct 23 22:24:06 2024 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 555.58.02 Driver Version: 555.58.02 CUDA Version: 12.5 | |-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 Tesla P4 Off | 00000000:06:00.0 Off | Off | | N/A 93C P0 30W / 75W | 615MiB / 8192MiB | 87% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | 0 N/A N/A 26939 C /bin/ffmpeg 612MiB | +-----------------------------------------------------------------------------------------+

I am just using emby and use its own hardware acceleration setting. I 've tried plex before, it shows the active app correctly. Jellyfin also works well as shown in the screenshot. In the terminal, the analysis when using Jellyfin can be seen below. +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 555.58.02 Driver Version: 555.58.02 CUDA Version: 12.5 | |-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 Tesla P4 Off | 00000000:06:00.0 Off | Off | | N/A 71C P0 27W / 75W | 521MiB / 8192MiB | 14% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | 0 N/A N/A 29577 C /usr/lib/jellyfin-ffmpeg/ffmpeg 518MiB | +-----------------------------------------------------------------------------------------+

Quesation about GPU Statistics Plugin for nvidia graphic card (tesla p4) When I am using emby (hardware acceleration), the plugin seems to miss some info such as Active Apps as shown in the graph. When I use the nvidia-smi command, the terminal shows: +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 555.58.02 Driver Version: 555.58.02 CUDA Version: 12.5 | |-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 Tesla P4 Off | 00000000:06:00.0 Off | Off | | N/A 81C P0 32W / 75W | 535MiB / 8192MiB | 9% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | 0 N/A N/A 28524 C /bin/ffmpeg 532MiB | +-----------------------------------------------------------------------------------------+ Really appreciate for your help!

I initially installed the plugin and correctly modified the container settings, and the GPU could be used properly. However, after I rebooted the Unraid server, the containers using the GPU could not be started, with the following error: 'Error response from daemon: unknown or invalid runtime name: nvidia.' (also can be seen in the screenshots below). I tried changing 'Enable Docker' from 'Yes' to 'No' and 'No' to 'Yes,' but it still didn't work. The plugin page shows as usual, and the nvidia-smi command returns results, but containers using the GPU still cannot be started. Thank you for your support, please let me know if you need any further information!