TensorFlow is evolving rapidly and it's a challenge to keep up with GPU driver updates, CUDA updates, TensorFlow updates, and not fall into version hell.
For instance I took the Udemy course a few months back, given by a Google scientist, and in at least one instance the code was pinned to CPU because it didn't run on GPU, presumably due to a TensorFlow issue.
If they can get TensorFlow running well on AMD and release images that make it painless, it will be a huge win, but I'm a little skeptical. Big difference between getting a benchmark win and a stable platform.
https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/iss...