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I doubt it is a priority. But I can certainly recommend Amazon GPU-enabled instances (~0.6$/hour/GPU, not that much actually).
by hebdo 10y ago
I doubt it is a priority. But I can certainly recommend Amazon GPU-enabled instances (~0.6$/hour/GPU, not that much actually).
- babo 10y agog2 instances has a GPU which is not compatible with the stock tensorflow, you must rebuild it from source. Do you have a workaround for that?
- tater_sent_me 10y agoCompile it from source with support for Cuda 3.0
- vrv 10y agoI believe our published wheels now include the code for cuda compute 3.0, so it should work out of the box now. (as long as the images have cudnn v4 and cuda 7.5 installed, I think :)
- babo 10y agoGreat news, I'll try today!
- manav 10y agoI find the Amazon GPU prices pretty high in the long run. The g2.2xlarge is around 3x slower than a GTX 980.
- modeless 10y agoLinux is great for training, however I would like to deploy my models to run locally on user machines which are running Windows. Theano supports Windows but TensorFlow doesn't.
- AgentME 10y agoCan models be ported between systems easily?
- p1esk 10y agoIt should be a priority. The main reason I picked Theano (and still use it) is Windows support.