apple-silicon-ai
Installation
SKILL.md
Apple Silicon AI — Your Macs Are the Cluster
Turn your Mac Studio, Mac Mini, MacBook Pro, or Mac Pro into a local Apple Silicon AI fleet. One endpoint routes LLM inference, image generation, speech-to-text, and embeddings across every Apple Silicon device on your network.
No cloud APIs. No GPU rentals. No Docker. Your Apple Silicon M1/M2/M3/M4 chips with unified memory are already better inference hardware than most cloud instances — you just need software that treats them as an Apple Silicon fleet.
Why Apple Silicon for AI
Apple Silicon unified memory keeps the entire model in one address space — no PCIe bottleneck, no CPU-GPU transfer overhead. A Mac Studio with M4 Ultra and 256GB runs 120B parameter models that would need multiple NVIDIA A100s. That is the Apple Silicon advantage.
| Apple Silicon Chip | Unified Memory | LLM Sweet Spot | Apple Silicon Image Gen | Notes |
|---|---|---|---|---|
| M1 (8GB) | 8GB | 7B models | Slow | Entry-level Apple Silicon |
| M1 Pro/Max (32-64GB) | 32-64GB | 14B-32B | Capable | Apple Silicon MacBook Pro |
| M2 Ultra (192GB) | 192GB | 70B-120B | Fast | Apple Silicon Mac Studio/Pro |
| M3 Max (128GB) | 128GB | 70B | Fast | Latest Apple Silicon MacBook Pro |
| M4 Max (128GB) | 128GB | 70B | Fast | Apple Silicon Mac Studio, newest gen |
| M4 Ultra (256GB) | 256GB | 120B+ | Very fast | Apple Silicon Mac Studio/Pro, largest models |