[tzz]

If someone creates a Juju Charm https://jujucharms.com for this, then you can use the pre-configured service on any of the major public clouds.

[agibsonccc]

You mean this? https://github.com/SaMnCo/layer-skymind-dl4j

We work with the ubuntu team on juju.

[nl]

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

[agibsonccc]

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-...

[nl]

Pretty sure you can't do that because of the stupid NVidia license/download thing.

[agibsonccc]

Our enterprise distro(cdh for deep learning) will include mkl and cudnn.

I will work out what we are allowed to do licemse wise. Reach out to [e-mail] if that is interesting.