<ul><li>Apple's MLX is a new machine learning stack designed to leverage Apple's unified memory architecture for AI workloads.</li><li>MLX allows enthusiasts to run models locally on consumer-grade hardware without the need for expensive GPUs or splitting models across multiple devices.</li><li>Apple's MLX, open-sourced and gaining traction, is positioned as an accessible yet powerful alternative for hobbyists and developers in AI work.</li><li>In a test using MLX to train a convolution network on the MNIST dataset, it was found to be 2x more performant than using PyTorch with MPS backend and 18x faster than running on the CPU, highlighting its hardware optimization benefits.</li></ul>

Benchmarking Apple MLX : A new era for local AI ?

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