Tags: #apple-silicon

An educational course for systems engineers to learn LLM inference serving on Apple Silicon by building a simplified vLLM-like system with MLX from scratch.

An optimized LLM inference server for Apple Silicon, featuring continuous batching, tiered KV caching, and macOS menu bar management for efficient local AI.

Enables efficient fine-tuning of LLMs, Vision, Audio, and OCR models on Apple Silicon Macs with an Unsloth-compatible API.

A high-performance library built on Apple's MLX framework, offering efficient text-to-speech, speech-to-text, and speech-to-speech capabilities optimized for Apple Silicon.