The fact that I can run this on mobile (iOS) devices using the C++ interface mak... | Hacker News

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		rsp1984 on Dec 6, 2023 \| parent \| context \| favorite \| on: MLX: An array framework for Apple Silicon The fact that I can run this on mobile (iOS) devices using the C++ interface makes all the difference for me. I find that extremely refreshing among all those other Python/Server/PC -only frameworks. Running non-trivial ML workloads on the edge has been on my wishlist for years and it sounds like Apple has just the thing.

woodson on Dec 7, 2023 [–]

I’m somewhat concerned that it doesn’t support ANE from the get-go (they list CPU and GPU, for now). Not even for inference only.

Other frameworks have (non-python) solutions for mobile in place, e.g. tflite, libtorch, and onnxruntime.

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