Earlier quoted context omitted.
Where did you get this from? AFAIK GPT-3 (for example) was trained on a GPU cluster, not TPUs.
Experience, for one. TPUs are dominating MLPerf benchmarks. That kind of performance can't be dismissed so easily. GPT-2 was trained on TPUs. (There are explicit references to TPUs in the source code: https://github.com/openai/gpt-2/blob/0574c5708b094bfa0b0f6df... ) GPT-3 was trained on a GPU cluster probably because of Microsoft's billion-dollar Azure cloud credit investment, not because it was the best choice.
To be fair, TPUv4 is not out yet, and it might catch up using the latest processes (7nm TSMC or 8nm Samsung).