Cvat: Serverless component nuclio doesn't support nvidia-docker / GPU acceleration.

Created on 7 Aug 2020  路  6Comments  路  Source: openvinotoolkit/cvat

I've just created this issue ticket under their repo.
https://github.com/nuclio/nuclio/issues/1781

Meanwhile, is there anyone knows besides asking nuclio's cooperation, do we have another quick solution for this?
Thanks for your help ahead.

documentation enhancement

Most helpful comment

Hi @mhe-wyze

I installed following instruction guide " Ubuntu 18.04 (x86_64/amd64)

If I use GPU in severless model on my desktop which have 2 GPUs, how to set up?

All 6 comments

@mhe-wyze , thanks!

Hi, @nmanovic thanks for your help on this issue, the problem has been solved by changing the docker config file.
/etc/docker/daemon.json
from

{
    "runtimes": {
        "nvidia": {
            "path": "nvidia-container-runtime",
            "runtimeArgs": []
        }
    }
}

to

{
    "default-runtime": "nvidia",
    "runtimes": {
        "nvidia": {
            "path": "nvidia-container-runtime",
            "runtimeArgs": []
        }
    }
}

Hello,

Any update on using/configuring the GPU for the deployed models on the CVAT using nuclio?
Currently, it is taking a considerable large amount of time. So assuming its running on CPU!

Thanks a lot!

Hello @mhe-wyze @nmanovic

I can't find /etc/docker/daemon.json after installing cvat in ubuntu.
Please let know how to use GPU in models.

daemon.json is docker file @charlescho64 , did you forget to install the docker or nvidia-docker?

Hi @mhe-wyze

I installed following instruction guide " Ubuntu 18.04 (x86_64/amd64)

If I use GPU in severless model on my desktop which have 2 GPUs, how to set up?

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