An open-source machine-learning array framework developed by Apple machine-learning researchers for Apple silicon. MLX provides NumPy-like multidimensional arrays, automatic differentiation, graph compilation, lazy computation, unified CPU and GPU memory, and neural-network utilities for training and inference.