AMD Strix Halo local LLM guide: setup for Ryzen AI MAX+ 395 / Radeon 8060S, Ollama, llama.cpp Vulkan/RADV, ROCm, raw evidence, direct 100 t/s 30B Qwen, 140 t/s CHADROCK MTP, 120B GGUF.
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Updated
Jul 10, 2026 - Python
AMD Strix Halo local LLM guide: setup for Ryzen AI MAX+ 395 / Radeon 8060S, Ollama, llama.cpp Vulkan/RADV, ROCm, raw evidence, direct 100 t/s 30B Qwen, 140 t/s CHADROCK MTP, 120B GGUF.
A turnkey, fully-local AI workstation engineered for the AMD Ryzen AI Max+ 395. LLM inference, voice, document parsing, browser automation, agents — all on-device.
Docker stack: Ollama v0.21.0 built from source against ROCm 7.2.2 with native gfx1151 (Strix Halo) — serves Gemma 4 up to 256K context on AMD Ryzen AI MAX+ 395 / Radeon 8060S. Includes a 9-layer make validate ladder for the host firmware, ROCm runtime, container, and long-context inference.
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