> From reading through some of the TensorFlow docs, it seems to currently only run on one machine. This is where MXNet has an advantage (and MXNet.jl) as it can run across multiple machines/gpus
I think it's fair to assume that Google will soon release a distributed version. > problem is, there are so many ML toolkits coming out now that things are already getting pretty fragmented in the space. Let them fight it out until one wins, I say. Anyway, the problem I'm facing right now is that even though TensorFlow's python interface works fine, I can't get TensorFlow's C library to build! Has anyone else had any luck with this? I've had to update java AND gcc just to make some progress in building (they use c++11 features, don't ask). Plus I had to install google's own bizarre and buggy build manager (bazel). TensorFlow.jl would be kind of pointless if everyone faced the same build issues...
