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Add GPU support for Machine learning

Various machine learning backends benefit greatly by running with GPU support. We can already run Keras with a TensorFlow backend on DSx but it's CPU only which makes it unusably slow for many situations. It would be great to allow DSx to take advantage of 1 or more GPUs while training a network.

  • Jim Sharpe
  • Dec 14 2018
  • In Plan
Why is it useful?
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Idea Priority High
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Submitter Tags deep learning
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  • maggie vs NINA commented
    December 14, 2018 17:58

    in spanish plis? no translation... #IDEAORIGINAL

  • Cecelia Shao commented
    December 14, 2018 17:58

    Hi everyone - thanks for your votes around this idea for GPU support for DSX/WML. The implementation of this support is planned for Q4! If you have specific questions or private comments, please make sure to tag @Anthony Stevens, who is the product contact for WML.

  • Chris Snow commented
    December 14, 2018 17:58

    See also the ticket that builds on this one.

  • Chris Snow commented
    December 14, 2018 17:58
  • ANTHONY STEVENS commented
    December 14, 2018 18:00

    This request is being actively developed.  We can't say more than this publicly, but suffice to say that it will be worth the wait.  But if you're an IBM employee then please view the private comments for additional details.