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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.

  • Avatar32.5fb70cce7410889e661286fd7f1897de Guest
  • Dec 14 2018
  • Already exists
Idea Priority High
  • Attach files
  • Avatar40.8f183f721a2c86cd98fddbbe6dc46ec9
    Guest commented
    14 Dec, 2018 06:00pm

    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.

  • Avatar40.8f183f721a2c86cd98fddbbe6dc46ec9
    Guest commented
    14 Dec, 2018 05:58pm
  • Avatar40.8f183f721a2c86cd98fddbbe6dc46ec9
    Guest commented
    14 Dec, 2018 05:58pm

    See also the ticket https://ibmwatsondataplatform.ideas.aha.io/ideas/IBMWDP-I-327 that builds on this one.

  • Avatar40.8f183f721a2c86cd98fddbbe6dc46ec9
    Guest commented
    14 Dec, 2018 05:58pm

    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.

  • Avatar40.8f183f721a2c86cd98fddbbe6dc46ec9
    Guest commented
    14 Dec, 2018 05:58pm

    in spanish plis? no translation... #IDEAORIGINAL

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