Official documentation
MLX: README (ml-explore/mlx, GitHub)
Apple machine learning research, GitHub (ml-explore/mlx), 2026
Read the originalRead on October 17, 2026
- What it is
- The README of MLX, the array framework from Apple's machine learning research team. It describes what the framework is for and is the base for the MLX port of Whisper.
- How much weight it carries
- Published by the team that builds MLX. It describes the framework's purpose, not the speed of any model.
Facts taken from this source
- MLX is an array framework for machine learning on Apple silicon, from Apple's machine learning research team.
“MLX is an array framework for machine learning on Apple silicon, brought to you by Apple machine learning research.” (Introduction)
- MLX, Apple's array framework, keeps its arrays in shared memory, so an operation can run on the CPU or the GPU without first copying the data between them.
“Arrays in MLX live in shared memory. Operations on MLX arrays can be performed on any of the supported device types without transferring data.” (Key features, Unified memory bullet)