Flash-MoE Inference Engine

Skill by ara.so — Daily 2026 Skills collection.

Flash-MoE is a pure C/Objective-C/Metal inference engine that runs Qwen3.5-397B-A17B (397B parameter Mixture-of-Experts) on a MacBook Pro with 48GB RAM at 4.4+ tokens/second. It streams 209GB of expert weights from NVMe SSD on demand — no Python, no ML frameworks, just C, Objective-C, and hand-tuned Metal shaders.

Requirements

• Hardware: Apple Silicon Mac (M3 Max or similar), 48GB+ unified memory, 1TB+ SSD with ~210GB free
• OS: macOS 26+ (Darwin 25+)
• Tools: Xcode Command Line Tools, Python 3.x (for weight extraction only)
• Model: Qwen3.5-397B-A17B safetensors weights (download separately from HuggingFace)

Installation & Build

# Clone the repo
git clone https://github.com/danveloper/flash-moe
cd flash-moe/metal_infer