[bitL]

That's only theoretical. Try to use ROCm on latest frameworks or on external models that write custom CUDA operations/losses. Basic stuff might work in a more complicated way than on NVidia, advanced stuff is guaranteed to either not work or work in a couple of months when it lands into ROCm.

Radeon VII is a beast for FP64 computation, if you do simulation or heavy computations that require supercomputer-level of precision, then grab one while you can, it's the best price/performance of all GPUs on the market.

However folks, please don't follow the advice about using for it Deep Learning if you want to actually have Deep Learning business in any way.