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There is a huge distributed performance advantages vs TensorFlow. You can get a hint from Prof. Carlos Guestrin's keynote talk at Data Science Summit 2016. Also, CMU CS Dean Andrew Moore cited MXNet as "is the most scalable framework for deep learning I have seen"

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This recent OSDI paper [1] has a direct comparison in Fig 8. It appears there is no particularly pronounced distribution or general performance advantage, and TensorFlow actually outperforms MXNet in this comparison.

1: https://www.usenix.org/system/files/conference/osdi16/osdi16...

[full disclosure, I work on the TensorFlow team]

The version tested in paper should not have P2P,so it was much slower than current version.

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