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Running Simulation on a local cluster

Discussion in 'Unity Simulation' started by Null_Terminator, Oct 26, 2020.

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  1. Null_Terminator

    Null_Terminator

    Joined:
    Sep 19, 2013
    Posts:
    5
    Hello,

    I would like to run Unity in a cluster in order to train a ML model using ML-Agents.

    Unity Simulation seems like the right tool for the job, but I have no budget for Unity's cloud.
    I do, however, have access to a local cluster of Linux machines. Is it possible to run Unity Simulation on my own cluster?

    Thanks in advance
     
    Null_Terminator, Oct 26, 2020
    #1

  2. jeffrey_unity538

    jeffrey_unity538

    Unity Technologies

    Joined:
    Feb 15, 2018
    Posts:
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    hi @Null_Terminator - thank you for reaching out. It is possible to dockerize ML-Agents and run a local cluster of Linux machines. We provide some documentation, however, it is not supported officially by the team (https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Using-Docker.md).

    Also, we'd love to get your interest to participate in our ML-Agents cloud training alpha. If you are, here is a sign-up link below:

    https://create.unity3d.com/ml-agent...4.1342014683.1603728390-1673234459.1566418786
     
    jeffrey_unity538, Oct 26, 2020
    #2

  3. Null_Terminator

    Null_Terminator

    Joined:
    Sep 19, 2013
    Posts:
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    Thanks for the reply!

    I will ask our IT if Docker suffices our needs, but I am a little worried about the fact that the documentation you linked is derprecated. Is it reliable?

    EDIT: After reading a little bit, it seems that there is no GPU support for the Docker option

    I have signed up for the training alpha, looking forward to hearing from you!
     
    Last edited: Oct 26, 2020
    Null_Terminator, Oct 26, 2020
    #3

  4. stevenke_unity

    stevenke_unity

    Joined:
    Nov 13, 2018
    Posts:
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    Locking this thread. Please see the link for the ML-Agents cloud training alpha for more information.
     
    stevenke_unity, Nov 12, 2020
    #4
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