Run DeepSeek R1 or V3 with MLX Distributed (via) Handy detailed instructions from Awni Hannun on running the enormous DeepSeek R1 or v3 models on a cluster of Macs using the distributed communication feature of Apple's MLX library.
DeepSeek R1 quantized to 4-bit requires 450GB in aggregate RAM, which can be achieved by a cluster of three 192 GB M2 Ultras ($16,797 will buy you three 192GB Apple M2 Ultra Mac Studios at $5,599 each).
Recent articles
- How StrongDM's AI team build serious software without even looking at the code - 7th February 2026
- Running Pydantic's Monty Rust sandboxed Python subset in WebAssembly - 6th February 2026
- Distributing Go binaries like sqlite-scanner through PyPI using go-to-wheel - 4th February 2026