Yes, just as /u/Mrgod2u82 mentioned - it’s expensive.

You should debug and prepare your model on less expensive machine - your experimental and development machine - and then run the top model with all the data on the TPU - your production-grade machine.

For example, we trained BERT for 4 days. If we didn’t pay enough attention when setting up the training we could have spent another 800$ just for experimenting, which is too expensive for us. Of course, at some companies like Google Brain and OpenAI they probably don’t care about cost minimization. There you can use TPU as your daily work station.😄

Use one machine for development and one for the heavy-and-long training.