The era of choosing between "Small & Fast" or "Large & Slow" for local AI is ending. With the release of the Qwen 3.6 family and architectural breakthroughs in inference engines, we can now run frontier-class reasoning on personal hardware at human-reading speeds.
In this technical audit, we benchmark the AMD Strix Halo (Radeon 8060S) using a custom-tuned llama.cpp stack to identify the optimal configuration for sovereign intelligence.
The Hardware: AMD Strix Halo
Our test host ("Stark") utilizes the Strix Halo architecture, which bridges the gap between consumer laptops and datacenter silicon through a massive unified memory bus.
CPU/GPU: AMD RYZEN AI MAX+ 395 (gfx1151).
