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I see that the focus is Apple Silicon, but wouldn't it make sense to also make this available to other hardware (e.g. AMD64 + CUDA) and other platforms (e.g. Li

I see that the focus is Apple Silicon, but wouldn't it make sense to also make this available to other hardware (e.g. AMD64 + CUDA) and other platforms (e.g. Linux)? Otherwise I wonder if this really finds too much adoption. You don't want to lockin yourself when you have all those other choices. (Ok, to be fair, as it is discussed here, PyTorch etc might not work optimal yet on Apple Silicon, but I guess this is just a matter of time.)

rollcat 3y ago
> You don't want to lockin yourself when you have all those other choices. I already have this nice, powerful, and expensive hardware sitting on my desk. Why not make the most optimal use of it? I can worry about lock-in once it becomes inadequate for the task. > PyTorch etc might not work optimal yet on Apple Silicon So now we can take MLX apart and see how we can use it to improve PyTorch.