If AMD could provide a backend for the most popular frameworks then they could skip over the CUDA patent issue completely.
The real problem is that it seems like AMD’s not investing substantially in software teams to make it happen.
https://github.com/pytorch/pytorch/issues/10657
That is the state of Pytorch support for AMD GPUs.
I do. Not everything you can do with a CUDA card is deep learning. In fact that's just one of many applications.
There has been some progress, but PyTorch still isn't fully functional with ROCm yet and that feels like a good litmus test.
Really do not want just one players. And hope the high level plays have more completion.
Still interest in Taiwan part. Purely from economic point of view. How secure are we ok that front, if all eggs are in one basket. Hk is fallen. Taiwan or South China Sea is in play. That will affect the supply chain.
Intel is launching a GPU/Deep learning accelerator, Huawei is thinking about launching a GPU. Pytorch and Tensor flow work well enough on AMD GPUs. There are also custom deep learning ASICs from Google. There is simply too much competition at this point for CUDA to continue to be the standard.