>PyTorch/Nvidia GPUs easily overtaking TensorFlow/Google TPUs. TF lost to PyTorch, and this is Google’s fault - TF APIs are both insane and badly documented. But nothing comes close to performance of Google’s TPU exaflop mega-clusters. Nvidia is not even in the same ballpark.
There is a first mover handicap there though. TF1.0 included a bunch of things that were harder to understand like tf.Session(). PyTorch was inspired from the good parts and "we will eager-everything". Internally I'm sure there was a lot of debate in the TF team that culminated with TF2.0, but by that time the damage was done and people saw PyTorch as easier.
Also, tensorflow was a total nightmare to install while Pytorch was pretty straightforward, which definitely shouldn't be discounted.