Apple Unveils MLX Framework for Enhanced AI on Laptops
As the prominence of artificial intelligence (AI) continues to grow across industries, Apple’s machine learning research team is making strides with the release of MLX—a machine learning framework tailored for efficient and flexible operations on Apple’s silicon chips.
Unveiling MLX, Apple aims to provide a powerful tool inspired by established frameworks like PyTorch, Jax, and ArrayFire. What sets MLX apart is its unified memory model, as highlighted by Apple on GitHub. The ML research team emphasizes that MLX’s array design operates in shared memory, allowing operations on MLX arrays to be executed on various supported devices, including the CPU and GPU, without necessitating data copies.
Awni Hannun from Apple’s ML team shared the exciting news on X, stating, “Just in time for the holidays, we