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I'm curious how the performance and scalability compares with Theano and Torch. I'm thinking the reason Google built this is that they wanted to scale computations to really large clusters (thousands, tens of thousands of machines) and the other options didn't really cut it.


Here's a page with various benchmarks: https://github.com/soumith/convnet-benchmarks

An issue has been created to add TensorFlow to this shortly.


This looks to be a single machine test, where this video and the poster above specifically talked about running against compute clusters. I don't think a single machine benchmark is going to be nearly as interesting.


They didn't release the multi-machine version of TensorFlow. They said they're still working on it and will release it when it's ready.




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