MLX
Model ● Covered in 4 stories + Follow
MLX is a machine learning framework designed for Apple Silicon that enables efficient local model inference on Mac computers. Recent developments include K-Search, a system for translating GPU kernel optimizations from CUDA to MLX, and the framework's adoption in applications like Nativ, a macOS chat interface for running AI models locally.
Updated 6 August 2026
Specifications
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Latest developments
From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
BAIR · 1 month ago ·
24
Nativ: Run AI models locally on your Mac
Simon Willison's Weblog · 1 month ago ·
49
BaseRT provides faster runtime for serving AI models with less infrastructure
basecompute.co · 1 month ago ·
13
SmolVLM2: Bringing Video Understanding to Every Device
Hugging Face · 1 year ago ·
21
July 2026
- From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
- Nativ: Run AI models locally on your Mac
- BaseRT provides faster runtime for serving AI models with less infrastructure