You seemed to have completely missed why Nvidia's stock has gone up 17x in 4 years while google only 3x. The dynamics of the chip business have not changed; you are focusing on a single market, DNN, which is a small piece of the entire science/engineering community. Google made a chip that accelerates DNN. They also chose not to make an API to use that hardware with outside TF. So if you could buy a tpu and put it in your own server, it would beat the V100 in performance/watt. You can't do that, so nvidia wins, because I can buy a V100, and in 51 days the price I bought it for ($8K) has already been burned through in GCP. If you need me to do the math to help you realize that now your only recurring cost on the v100 (power) is more than 100x less than the TPU, I can do that for you. But hopefully you understand now that the TPU is for a niche market outside of google, and it will never be a large source of revenue for them at $6.50/hour.
TF is not exclusive to google. Nvidia has engineers working on TF.
Your capsule example is again extremely poor. You think google can respin an asic quicker than nvidia? Not only does history say the exact opposite, but they both use TSMC.