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Hello Miners.

davepedavepe Member Posts: 27 Contributor II
in Help
I installed AI HUB docker on UNIX and studio on UNIX. NVIDIA- SMI is showing the attached result, showing my RTX3080 is operational.
However in the studio - changing back end to CUDA does not stick...ideas?


-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.85.02    Driver Version: 510.85.02    CUDA Version: 11.6     |
|-------------------------------+----------------------+----------------------+
| 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  NVIDIA GeForce ...  On   | 00000000:61:00.0  On |                  N/A |
| 30%   34C    P8    25W / 320W |    300MiB / 10240MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A      1649      G   /usr/lib/xorg/Xorg                205MiB |
|    0   N/A  N/A      1897      G   /usr/bin/gnome-shell               75MiB |
|    0   N/A  N/A    306089      G   ...AAAAAAAAA= --shared-files       11MiB |
|    0   N/A  N/A    306285      G   ...AAAAAAAAA= --shared-files        4MiB |
+-----------------------------------------------------------------------------

Answers

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    davepedavepe Member Posts: 27 Contributor II
    I installed AI HUB docker on UNIX and studio on UNIX. NVIDIA- SMI is showing the attached result, showing my RTX3080 is operational.
    However in the studio - changing back end to CUDA does not stick...ideas?


    -----------------------------------------------------------------------------+
    | NVIDIA-SMI 510.85.02    Driver Version: 510.85.02    CUDA Version: 11.6     |
    |-------------------------------+----------------------+----------------------+
    | 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  NVIDIA GeForce ...  On   | 00000000:61:00.0  On |                  N/A |
    | 30%   34C    P8    25W / 320W |    300MiB / 10240MiB |      0%      Default |
    |                               |                      |                  N/A |
    +-------------------------------+----------------------+----------------------+
                                                                                   
    +-----------------------------------------------------------------------------+
    | Processes:                                                                  |
    |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
    |        ID   ID                                                   Usage      |
    |=============================================================================|
    |    0   N/A  N/A      1649      G   /usr/lib/xorg/Xorg                205MiB |
    |    0   N/A  N/A      1897      G   /usr/bin/gnome-shell               75MiB |
    |    0   N/A  N/A    306089      G   ...AAAAAAAAA= --shared-files       11MiB |
    |    0   N/A  N/A    306285      G   ...AAAAAAAAA= --shared-files        4MiB |
    +-----------------------------------------------------------------------------
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