Name: GMKtec EVO-X5 Pro AMD Ryzen™ AI Max+ PRO 495 AI Mini PC
Brand: GMKtec
SKU: GMKtec-EVO-X5-Pro
Availability: InStock

Description

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AMD Ryzen AI Max+ PRO 495

GMKtec EVO-X5 Pro

Next-Ceneration Desktop Al Supercomputing Workstation
The World’s First Agentic PC capable of Running 320B-parameter LLMs Fully offline

AI Model Performance

Model / Quantization	Model SizeGB	Decodetok/s	Prefilltok/s	TTFTs
Qwen3.6-35B-A3BROCmFP4-STRIX · Chat	19.86	79.20	1240.91	0.462
Qwen3.6-35B-A3BUD-Q4_K_XL	22.85	81.77	1063.82	0.935
Qwen3.8-Flash-NextROCmFP4-FAST	93.48	45.08	391.81	2.980
Qwen3.8-Flash-NextUD-Q4_K_XL	111.33	23.49	283.56	2.033
Qwen3.8-27BQ4_K_M	17.10	21.01	252.39	4.457
GLM-5.3-FlashUD-IQ4_XS	146.05	17.79	70.18	14.71
DeepSeek-V4-Flash-0731UD-Q4_K_XL	144.44	17.66	104.86	9.770

Decode: token generation speed. Prefill: prompt processing speed. TTFT: time to first token.
Source: GMKtec Laboratory. Actual performance varies with model, quantization, context length and software configuration.

MOC Fingerprint Security

Fast and secure biometric authentication prevents unauthorized access

and protects sensitive data, critical files and intellectual property across enterprise,

financial, healthcare and AI workstation environments.

Keep Your AI Local.
Keep Running Costs Down.

Explore how local AI can reduce recurring costs. The examples below illustrate two separate scenarios: replacing a workstation and replacing cloud API usage.

SCENARIO 01 · ELECTRICITY

Lower Power. Lower Running Costs.

$42.03 / month

Potential electricity savings in an illustrative 180W versus 600W comparison. These are assumed whole-system power values, not measured EVO-X5 Pro results.

720 operating hours per month · $0.139/kWh · USD
Example System	Energy / Month	Cost / Month
180W system	129.6 kWh	$18.01
600W workstation	432.0 kWh	$60.05
Potential savings*	302.4 kWh	$42.03

*Calculated before rounding. A valid product comparison requires measured energy use for equivalent completed workloads. Equal operating hours do not establish equal inference output.

SCENARIO 02 · CLOUD API

Local Inference. Fewer API Charges.

$360 / month

Potential cloud API charges avoided if the example usage below is fully replaced by suitable local inference. Rates are illustrative.

Example monthly cloud usage and pricing · USD
Token Type	Monthly Usage	Rate / 1M	Cost
Input	100M	$2	$200
Output	20M	$8	$160
Potential API charges avoided			$360

Producing 20M output tokens in 30 days requires approximately 7.72 output tokens per second averaged continuously across the month. Actual capacity must be verified for the chosen model, context length and workload.

Illustrative calculations only, not measured EVO-X5 Pro savings or performance claims. The two scenarios use different baselines and should not be added together. Actual savings depend on measured wall power, workload, model quality, throughput, utilization, electricity rates and API pricing. Adapter ratings and processor power settings are not whole-system power measurements. API charges avoided are not net savings: hardware, local electricity, software and maintenance costs must also be considered.