GMKtec EVO-X2 (Ryzen AI Max+ 395, 128GB) vs Beelink GTR9 Pro (Ryzen AI Max+ 395, 128GB) for AI
A head-to-head comparison of specs, pricing, and real-world AI performance to help you pick the right hardware.
Disclosure: Some links on this page are affiliate links. We may earn a commission if you make a purchase — at no extra cost to you.
Quick Verdict
The GMKtec EVO-X2 (Ryzen AI Max+ 395, 128GB) is the better performer but costs more. Choose it if you need top-tier AI performance and can justify the price premium. The Beelink GTR9 Pro (Ryzen AI Max+ 395, 128GB) delivers solid value at a lower price point and is the smarter pick for budget-conscious buyers.
GMKtec EVO-X2 (Ryzen AI Max+ 395, 128GB)
$3,399 – $3,499
The flagship local-AI mini PC. AMD's Ryzen AI Max+ 395 'Strix Halo' pairs a 16-core Zen 5 CPU with a Radeon 8060S iGPU and 128GB of LPDDR5X-8000 unified memory — up to 96GB assignable as VRAM, enough to load 70B-class models that won't fit on any consumer GPU. The catch is bandwidth: ~215 GB/s real, so dense 70B runs at single-digit tokens/sec. Buy it for capacity, not raw speed.
Beelink GTR9 Pro (Ryzen AI Max+ 395, 128GB)
$1,899 – $1,999
The best-connected 128GB Strix Halo box. Same Ryzen AI Max+ 395 silicon and 128GB LPDDR5X-8000 as the rest, but the GTR9 Pro adds dual 10GbE and dual USB4 — the IO you want for clustering boxes or pulling models off a fast NAS. A vapor-chamber cooler keeps sustained ~120W inference quiet. Watch for driver-dependent 10GbE instability under heavy GPU load.
Specs Comparison
| Spec | GMKtec EVO-X2 (Ryzen AI Max+ 395, 128GB) | Beelink GTR9 Pro (Ryzen AI Max+ 395, 128GB) |
|---|---|---|
| Price | $3,399 – $3,499 | $1,899 – $1,999 |
| APU | AMD Ryzen AI Max+ 395 (16C/32T, Zen 5) | AMD Ryzen AI Max+ 395 (16C/32T, Zen 5) |
| GPU | Radeon 8060S (40 CU, RDNA 3.5) | Radeon 8060S (40 CU, RDNA 3.5) |
| NPU | 50 TOPS (XDNA 2) | 50 TOPS (XDNA 2) |
| Unified Memory | 128GB LPDDR5X-8000 (up to 96GB GPU-allocatable) | 128GB LPDDR5X-8000 |
| Memory Bandwidth | 256 GB/s theoretical (~215 GB/s real) | ~256–273 GB/s |
| Storage | 2TB NVMe (dual M.2 2280, up to 16TB) | 2TB NVMe (dual M.2 2280, up to 16TB) |
| Networking | 2.5GbE, Wi-Fi 7 | Dual 10GbE (Intel E610), Wi-Fi 7 |
| I/O | 2× USB4, HDMI 2.1, DP 1.4 | 2× USB4 (40Gbps), HDMI 2.1, DP 2.1 |
GMKtec EVO-X2 (Ryzen AI Max+ 395, 128GB)
Pros
- +128GB unified memory (96GB allocatable) loads 70B-class models no 24–32GB dGPU can hold
- +256-bit LPDDR5X-8000 is ~2× a normal desktop APU — the reason it produces usable tokens/sec
- +Quiet, cool, dual-M.2 expandable — a practical always-on local inference appliance
Cons
- -~215 GB/s is far below a discrete GPU (800–1000 GB/s) — dense 70B is single-digit tok/s
- -Memory is soldered — you must buy the 128GB SKU up front; no upgrade path
- -2.5GbE only (no 10GbE/OCuLink); ROCm/Linux GPU-compute on Strix Halo still rough vs CUDA
Beelink GTR9 Pro (Ryzen AI Max+ 395, 128GB)
Pros
- +Dual 10GbE — rare at this size; fast model/dataset transfer to a NAS or cluster
- +Dual USB4 + vapor-chamber cooling keep sustained ~120W inference quiet (~36–41 dBA)
- +128GB unified runs Q4 70B-class models at a price no consumer dGPU touches
Cons
- -Reported 10GbE NIC instability/BSOD under heavy GPU load — driver-dependent
- -~256–273 GB/s bandwidth ceiling — 70B is usable but not GPU-fast
- -128GB soldered, non-upgradable — buy max config or nothing
Where to Buy
Related Articles
guide
Can You Cluster Two Mini PCs to Run Bigger Local LLMs? (2026 Reality Check)
AMD published a four-node Framework Desktop cluster running a trillion-parameter model, and two DGX Sparks pool 256GB over a single cable. Here's when a second box actually helps, when it makes things slower, and which mini PC to buy if clustering is on your roadmap.
comparison
Mac Studio M4 Max vs Strix Halo: Which 128GB Box Actually Runs Your Local LLM Faster?
Tom's Hardware measured the M4 Max at roughly 1.6× a Strix Halo box on tokens/sec. But a 128GB Strix Halo machine starts at $1,999. Here's the bandwidth math, the per-GB math, and the prefill caveat that decides which one you should actually buy.
guide
Why Local-AI Mini PC Prices Doubled in 2026 — And Whether to Buy Now or Wait
The GMKtec EVO-X2 went from ~$1,999 to ~$3,399. NVIDIA repriced the DGX Spark from $3,999 to $4,699 on 2026-02-27, citing memory supply. Here's the SKU-by-SKU price damage, why DRAM did it, and why waiting is the wrong call — with TrendForce's own 2027 forecast as the evidence.