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MLX

Apple's native machine learning framework designed for Apple Silicon

Apple

In plain English

Apple's own custom engine that makes AI fly on MacBooks with unified memory.

Technically

An open-source NumPy/PyTorch-like array framework created by Apple Machine Learning Research (Awni Hannun et al.). Features unified memory zero-copy semantics, lazy computation, multi-device transforms, and optimized Metal kernels for transformer inference.

Related terms

Unified Memory Architecture (UMA)Metal

Lessons that use it

More in Apple

MetalUnified Memory Architecture (UMA)Wired Memory Limit (macOS)