Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation.
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Updated
Jul 30, 2026 - Python
Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation.
Fast LLM speculative inference server for consumer hardware.
AMD Strix Halo / Ryzen AI Halo local LLM setup and benchmark guide for Ryzen AI MAX+ 395 and Radeon 8060S: Ollama, llama.cpp Vulkan/RADV, ROCm, 101 t/s Qwen3-Coder, CHADROCK MTP, 120B GGUF, and raw evidence.
This is a mirror of the Strix Halo HomeLab wiki, to browse the wiki click on the link below
Open-source self-hosted home AI inference platform for AMD Strix Halo — multi-backend slots, OpenAI-compatible gateway, Vue 3 + FastAPI + systemd.
Experimental support for many TTS/STT LLMs wrapped in a Wyoming API for consumption via Homeassistant
Sixunited AXB35 EC control & monitoring for Windows
Docker Compose for llama.cpp GGUF servers on AMD Strix Halo: Qwen, Gemma, and Laguna packages (abliterated and quantized), stock Vulkan plus ROCmFP4/MTP and ROCmFPX, parallel slots, with prefill/decode and quality metrics measured on this rig.
Self-hosted LLM/RAG stack in one command — AMD Strix Halo / x86_64 (ROCm/Vulkan, Docker Compose)
vLLM + Qwen3.6-27B (BF16) OpenAI-compatible inference server on AMD Strix Halo (Ryzen AI Max+ 395, gfx1151). Vision input, 256K context, /v1/responses with separated reasoning, via TheRock ROCm.
A two-day, non-expert guide to running local LLMs on an AMD Strix Halo (Ryzen AI Max+ 395) box — full ~120GB memory pool, ROCm backend, NPU in parallel via FastFlowLM, one OpenAI-compatible endpoint.
A comprehensive guide to running Linux (Omarchy/Arch) on the 2025 ASUS ROG Flow Z13 (AMD Strix Halo). Includes CachyOS Kernel setup, Tablet Mode fixes, and Power Management for the Ryzen AI Max
llama.cpp setup on dedicated AMD Strix Halo machine
Tools and documentation related to the AMD Strix-Halo AGU family (Ryzen AI Max 395) of systems. Tested on GMKtec EVO-2
ROCm distrobox/Docker environment for image & video generation (Qwen Image/Edit, WAN 2.2, LTX-2, ComfyUI) on AMD Strix Halo / gfx1151
Claude Code skill for AMD Strix Halo (Ryzen AI MAX+ 395) ML setup. Handles PyTorch installation (official wheels don't work with gfx1151), GTT memory config, and environment setup. Enables 30B parameter models.
llama.cpp + Qwen3.6-27B (Q8_0 GGUF) OpenAI-compatible inference server on AMD Strix Halo (Ryzen AI Max+ 395, gfx1151). 256K context, ~7.5 t/s decode via TheRock ROCm Docker.
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