Apple's MLX adding CUDA support

This is exciting. So this is using unified memory of CUDA? I wonder how well that works. Is the behavior of the unified memory in CUDA actually the same as for Apple silicon? For Apple silicon, as I understand, the memory is anyway shared between GPU and CPU. But for CUDA, this is not the case. So when you have some tensor on CPU, how will it end up on GPU then? This needs a copy somehow. Or is this all hidden by CUDA?

This is my guess, but does higher end hardware they sell, like the server rack stuff for AI, perhaps have the unified memory?

I know standard GPUs don’t.

The patch suggested one of the reasons for it was to make it easy to develop on a Mac and run on a super computer. So the hardware with the unified memory might be in that class.