Published : Apr 03, 2024
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar.
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Apr 2024
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MLX is an open-source array framework designed for efficient and flexible machine learning on Apple silicon. It lets data scientists and machine learning (ML) engineers access the integrated GPU, allowing them to choose the hardware best suited for their needs. The design of MLX is inspired by frameworks like NumPy, PyTorch and Jax to name a few. One of the key differentiators is MLX's unified memory model, which eliminates the overhead of data transfers between the CPU and GPU, resulting in faster execution. This feature makes running the models on devices such as iPhones plausible, opening a huge opportunity for on-device AI applications. Although niche, this framework is worth pursuing for the ML developer community.
