I haven't used Google's TPU's. Why not? Because I prefer using H2O for my deep learning applications and not Google's Tensorflow.
I evaluated Tensorflow and H2O and found H2O works better for me. I'm not claiming a blanket "H2O is better than Tensorflow", it obviously depends on many things.
And I also admit I did not do a very thorough evaluation, but I found that for me it's easier to get a "good enough" solution using H2O than with Tensorflow. With my focus being more on the application as opposed to the deep learning technology, H2O works better for me.
Further fact that I prefer R to Python, for similar reasons, also contributed to my decision to use H2O rather than Tensorflow.
I did not evaluate other deep learning technologies.
But, I realize things are developing and changing very rapidly on all fronts. TPU's could make me change my mind, but then, the "driverless AI" of H2O could entice me to stay with H2O?
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