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That doesn't do the Cuda/cuDNN stuff does it? (Ie, the hard, error prone part).


Right. So we'll be adding cuda and all that as well.

We are working very closely with canonical/IBM on the whole DL stack[1]. You will also see some stuff from us and nvidia here within the next month or so on making cuda a bit easier to setup in a normal data science "stack" eg: jvm/python hybrid product stacks. Cudnn has tricky licensing but it shouldn't be that bad to automate setting up the cuda part.

[1]: https://insights.ubuntu.com/2016/04/25/making-deep-learning-...




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