Versus Engine
GMKtec EVO-X2 (128GB) vs Ryzen 5 + RTX 4060 Ti Build
Specs, price and the one trade-off that actually decides it — GMKtec EVO-X2 (128GB) against Ryzen 5 + RTX 4060 Ti Build, side by side.
Cheaper to start
Tie
Both start at a similar price.
Rated higher
GMKtec EVO-X2 (128GB)
8.0 vs 7.5 on our design scale.
Standout
GMKtec EVO-X2 (128GB)
128GB massive memory pool
GMKtec EVO-X2 (128GB)
Enthusiast-tier mini workstation: AMD Ryzen AI Max+ 395 with 128 GB of unified memory. Runs Llama 3.3 70B and Mistral Small 3.1 at roughly 15-25 tokens/s — 70B-class models without a discrete GPU, in a small-form-factor chassis.
Where it wins, where it doesn't
Pros
- 128GB massive memory pool
- Ultra-compact form factor
- Dual NVMe storage slots
Cons
- APU graphics bottleneck token generation speed
- Audible fan noise under sustained load
Specifications
- example_modelsLlama 3.3 70B, Mistral Small 3.1
- tierenthusiast
- tokens_per_second15-25
- ai_npuBased on AMD XDNA 2 architecture; AI TOPS performance varies by application, model, and settings
- audio3.5mm headphone / audio jack ×1
- bluetoothBluetooth 5.4
- chipAMD Ryzen AI Max+ 395
- cpu—
- dimensionsApproximately 186 × 77 × 192 mm
- display_outputHDMI 2.1 ×1, DisplayPort 1.4 ×1, USB4 ×2, supports up to 8K@60Hz display output, actual output depends on display, cables, and settings
- displayportDisplayPort 1.4 ×1, up to 8K@60Hz
- gpu—
- hdmiHDMI 2.1 ×1, up to 8K@60Hz
- memory128GB LPDDR5X 8000MHz
- memory_capacity128GB LPDDR5X
- memory_formOnboard LPDDR5X, typically not user-upgradeable
- memory_speed8000MHz
- nameGMKtec EVO-X2 AMD Ryzen AI Max+ 395 128GB RAM + 2TB SSD Windows 11 Pro Mini PC 2 years warranty (CS-GEVOX2)
- operating_systemWindows 11 Pro
- preloaded_storage2TB M.2 2280 SSD
- processorAMD Ryzen™ AI Max+ 395, 16 cores / 32 threads, up to 5.1GHz
- ram_gb—
- sd_card_readerSome official / retail data indicates SD Card Reader, actual shipping version varies
- skuCS-GEVOX2
- storage2TB M.2 2280 SSD; up to 2 M.2 2280 slots for expansion, actual capacity depends on SKU and hardware support
- storage_expansionUp to 2 M.2 2280 slots; expansion limit depends on actual unit and manufacturer data
- unified_memory_gb128
- usb_aUSB 3.2 ×3, USB 2.0 ×2
- vram_gb—
- warranty2 years
- wired_network2.5G LAN ×1
- wireless_networkWi-Fi 7
Ryzen 5 + RTX 4060 Ti Build
Entry-tier DIY build for local AI: an AMD Ryzen 5 CPU paired with an NVIDIA GeForce RTX 4060 Ti (16 GB VRAM) and 64 GB of system RAM. Runs small models such as Phi-4-mini (3.8B) and Gemma 3 4B at roughly 90 tokens/s — the lowest-cost path in this index to useful local inference.
Where it wins, where it doesn't
Pros
- 16GB VRAM at entry-level pricing
- Accessible upgrade path
- Low power draw (160W GPU limit)
Cons
- Limited to 8B/14B models for fast inference
- Memory bandwidth restricts larger batch sizes
Specifications
- example_modelsPhi-4-mini (3.8B), Gemma 3 4B
- tierentry
- tokens_per_second~90
- ai_npu—
- audio—
- bluetooth—
- chip—
- cpuAMD Ryzen 5
- dimensions—
- display_output—
- displayport—
- gpuNVIDIA GeForce RTX 4060 Ti
- hdmi—
- memory—
- memory_capacity—
- memory_form—
- memory_speed—
- name—
- operating_system—
- preloaded_storage—
- processor—
- ram_gb64
- sd_card_reader—
- sku—
- storage—
- storage_expansion—
- unified_memory_gb—
- usb_a—
- vram_gb16
- warranty—
- wired_network—
- wireless_network—