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GMKtec EVO-X3

Chip AMD Ryzen AI Max+ PRO 495
Unified Memory 192 GB LPDDR5x
NPU Performance 50 TOPS (XDNA 2)
Storage 4 TB PCIe Gen4
€3,799

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Total price €3,799

Full Specifications

Compute & Memory

Chip

AMD Ryzen AI Max+ PRO 495

CPU

16-core / 32-thread Zen 5

GPU

AMD Radeon 8060S (RDNA 3.5, 40 CUs)

NPU

XDNA 2, up to 50 TOPS

Unified Memory

192 GB LPDDR5x (up to 160 GB GPU-addressable)

Storage & Physical

Storage

2 × M.2 PCIe 4.0 NVMe SSD (4 TB included, expandable)

Dimensions

105 x 105 x 190 mm

Weight

2.3 kg

Connectivity & Networking

Ethernet

2.5 GbE

Wireless

Wi-Fi 7, Bluetooth 5.4

Expansion

OCuLink Gen4 ×4 (external GPU support), 2 × USB4

Display Outputs

HDMI 2.1, DisplayPort 2.1

Power & Thermal

Power Profiles

Silent (54 W), Balanced (85 W), Performance (up to 140 W)

Cooling

Triple-fan vertical-tower chassis, triple heat-pipe design

Software & Security

Operating System

Windows 11 Pro, Linux-ready

Security

TPM 2.0

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The GMKtec EVO-X3 is built around the AMD Ryzen AI Max+ PRO 495 — the highest-memory configuration of AMD's unified CPU/GPU/NPU platform — paired with 192 GB of shared memory in a compact vertical-tower chassis. For SMBs, it means substantial open-weight AI models run entirely on-site, at a fixed hardware cost, instead of through costly cloud APIs.

Hardware Specifications

At its core sits the AMD Ryzen AI Max+ PRO 495: 16 Zen 5 CPU cores (32 threads) alongside an integrated AMD Radeon 8060S GPU (RDNA 3.5, 40 compute units) and an XDNA 2 NPU rated at up to 50 TOPS. All three engines draw from a single 192 GB LPDDR5x unified memory pool, and storage is handled by dual PCIe 4.0 NVMe SSD slots (4 TB included, expandable). A triple-fan, triple-heat-pipe vertical-tower design keeps the system cool under sustained multi-hour inference, while a rear OCuLink Gen4 ×4 port allows an external GPU enclosure to be added later, without replacing the base system.

192 GB Unified Memory: The Largest Capacity in the Ryzen AI Max+ Platform

The Ryzen AI Max+ platform scales its shared memory pool and because CPU, GPU, and NPU address that same pool, up to 160 GB can be assigned to the GPU for AI inference, while the remainder stays reserved for the operating system and background applications. That headroom is enough to host quantized open models in the 300B+ parameter class.

Up to 160 GB GPU-addressable
32 GB reserved
192 GB total unified memory Split adjusts in firmware — no reboot required

For day-to-day interactive use — support chatbots, document review, coding assistance — mid-sized models run at conversational speed, while the full 160 GB allocation can be dedicated to a single large-class model for heavier reasoning tasks, run in batch or overnight rather than turn-by-turn, without a query ever leaving the building.

Cloud AI APIs (large-class model)
~€10K – ~€50K
per year, moderate SMB usage
Metered, per-token costs increases with use.
GMKtec EVO-X3
€3,799.00
one-time hardware cost
Unlimited local inference, up to 300B+-class models.

Built for Sustained Local Inference

A vertical-tower chassis with three dedicated fans and three heat pipes gives the EVO-X3 more thermal mass and airflow than a typical flat mini-PC form factor. Three selectable power profiles (Silent, Balanced, Performance) let the same hardware suit a quiet shared office or a maximum-throughput dedicated inference box.

Software & Security

The EVO-X3 ships ready for Windows 11 Pro or a Linux-based inference stack, with TPM 2.0 included as standard, keeping locally processed business data on-premises by default.

Summary

For SMBs evaluating the AMD Ryzen AI Max+ 495 category for local AI hosting, the GMKtec EVO-X3 offers the largest unified memory pool available on the platform, paired with a thermal design and OCuLink expansion path built for business-grade inference.

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