Oct 26, 2026 · Artificial Intelligence

s Bandwidth Wall

The article explains how TensorFold and DFlash2 enable speculative decoding on a 32GB Mac mini M6, achieving 61.9 tok/s (6.1× speedup) for Qwen3.8-27B 4-bit in code tasks despite a 170GB/s memory bandwidth limit, with lossless output verification and three-step replication commands.

Apple SiliconDFlash2LLM inference

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61.9 tok/s on Mac mini M6: 6.1× Speculative Decoding Beats 170GB/s Bandwidth Wall

Lao Guo's Learning Space

Oct 25, 2026 · Artificial Intelligence

Mac mini M6 LLM Guide: 32GB RAM, 170GB/s Bandwidth, Model Sizing & Software

This article analyzes Mac mini M6 and M5 Pro hardware for local LLM deployment, detailing memory constraints (32GB vs 64GB unified memory), bandwidth limits (170GB/s vs 307GB/s), model sizing using the 0.7 memory rule, recommended software stacks (Ollama, MLX, llama.cpp), three deployment tiers for 14B, 70B, and 100B+ models, and five practical pitfalls to avoid.

Apple SiliconM5 ProMac mini M6

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Mac mini M6 LLM Guide: 32GB RAM, 170GB/s Bandwidth, Model Sizing & Software