Tao of Mac

Apr 25th 2026 · 1 min read · #ai #ane #apple #ml #mlx #neural engine #silicon

MLX / Apple Silicon AI

A collection of tools, frameworks, and models built on or optimized for Apple’s MLX array framework and the Neural Engine (ANE) on Apple Silicon. MLX is Apple’s answer to PyTorch/JAX for the M-series chip, with lazy evaluation, unified memory, and first-class Python bindings.

Resources

FieldCategoryDateLinkNotes
3D Asset ModelsRuntimes2026Hunyuan3D-Swift

MLX runtime for Hunyuan3D image-to-3D generation on Apple Silicon

AudioLibraries2026mlx-audio

TTS, STT and speech-to-speech library built on Apple’s MLX for Apple Silicon.

Models2026mlx-audiocraft

MLX port of Meta’s AudioCraft for Apple Silicon — music and audio generation via MusicGen and AudioGen

FrameworksCore2023MLX

An array framework for Apple Silicon — the foundation for all MLX-based tools

Examples2023mlx-examples

Official Apple MLX examples covering LLMs, image generation, speech, and more

InferenceLibraries2026h3.c

MiniMax H3 inference engine for Mac computers

2023ml-ane-transformers

Apple’s Transformers library optimized for the Neural Engine

Python Bindings for Apple Intelligence

Python bindings to Apple’s on-device foundation models

Tools2026nativ

local AI app for macOS to chat, serve, monitor, and connect MLX models

npurun

NPU-first local LLM runtime for Snapdragon X Elite / Windows on ARM

MLX / Apple SiliconTools2026slotstream

Swift/MLX local-LLM runtime that streams a 125B Qwen mixture-of-experts model from SSD and exposes Ollama-compatible APIs

ResearchTools2026autoresearch-ANE

Autonomous Apple Silicon LLM research suite combining ANE, MLX, and legacy MPS training paths

RuntimesInference2026laya-coreml

Native Apple Silicon Core ML runtime for offline Laya typed decisions, using the Neural Engine when available

laya-mlx

Native Apple Silicon MLX runtime for Laya typed decision models, supporting choice, score, and noul outputs without text generation

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