EVO-X2

Local Test: Qwen3.6 27B MTP GGUF on Strix HaloConfiguration Machine: GMKtec Evo-X2 Strix Halo OS: CachyOS Kernel: Linux 7.0.9 Backend: llama.cpp HIP using ROCm-nightly Runtime: llama-server Command Used: llama-server --port 8001 \ -hf "unsloth/Qwen3.6-27B-MTP-GGUF:UD-Q4_K_XL" \ --alias "unsloth/Qwen3.

Agree that it’s difficult to recommend a mini PC with that budget when you could build a sub 5L SFF PC with a lot faster GPU for gaming than an AI Max mini PC. But if you absolutely needed a mini PC then the GMKtec EVO-X2 AI Mini PC AMD Ryzen™ AI Max+ 395 with 64GB RAM is advertised at $2K. But you’

They've got a couple of 64GB EVO-X2s up at the college where the only problem is certain LLM experiments. If you're getting it for gaming and sharing 16GB+ for the graphics you'll be fine. The only comment I've heard from the MS-S1 MAX was some complaints about the BIOS UI compared to Framework and

I bought the GMKTec EVO-X2 when it was cheapest as possible and it was totally worth it, the device is a beast in both gaming and after recent tweak to RoCm, it's also beast in local AI too, with proper setup giving Qwopus a MCP server and optimized AGENTS.md, it's literally a Claude Opus local that

I have the 96GB version and i must say im happy with it. I can try many different models and get decent outputs. Also i think with MTP and other technology the futur will let you run good models on smaller hardware. I would still buy the 96GB version but i mean that the models on it could be better.

I bought this: GMKtec EVO-X2 AI Mini PCAMD Ryzen AI Max+ 395 3.0GHz Processor; 128GB LPDDR5X-8000 Onboard RAM; 2TB Solid State Drive; AMD Radeon 8060S Graphics I run gemma4 26b and get between 40 and 50 tokens per second, running Linux. I use it for OpenClaw and opencode. I do web development and Py