GMKtec EVO-X2 Mini PC AMD Ryzen AI Max+ 395

OUR VERDICT

The GMKtec EVO-X2 represents a paradigm shift in AI workstations. Instead of the traditional Mini PC + eGPU dock approach, AMD's Strix Halo architecture delivers everything in one compact unit. The 128GB unified memory pool - with up to 96GB allocatable as VRAM - means you can run models that simply won't fit on any consumer GPU.

THE UNIFIED MEMORY ADVANTAGE

Traditional discrete GPUs max out at 24GB (RTX 4090) or 32GB (RTX 5090). That limits you to 70B models at Q4 quantization - heavily compressed, lower quality outputs. The EVO-X2's 96GB allocation means the same 70B model runs at Q8 - double the precision, noticeably better responses.

More importantly, you can run 100B+ parameter models that are simply impossible on consumer GPUs. No eGPU dock. No external power supply. No fan noise from a graphics card. Just one compact box.

PERFORMANCE REALITY

Let's be honest: the Radeon 8060S won't match an RTX 4090 in raw tokens-per-second. The 4090's dedicated 24GB of GDDR6X running at 1TB/s bandwidth is faster than shared system memory. Expect roughly 60-70% of 4090 speed on models that fit in 24GB.

But here's the thing - the 4090 can't run what doesn't fit. When your model needs 50GB, 70GB, or 90GB of VRAM, the EVO-X2 is the only consumer option that works.

WHO IS THIS FOR?

• AI researchers needing to run the largest open models locally
• Developers who want a simple, silent all-in-one setup
• Anyone tired of eGPU docks, power supplies, and cable management
• Users who prioritize model quality over raw speed

FINAL SCORE: 9.5/10

The EVO-X2 isn't the fastest. It's the most capable. When VRAM is your bottleneck - and for serious AI work, it always is - this machine delivers what no discrete GPU can.