GMKtec Evo-X3 review: Strix Halo in a brand new suit

Sep 24, 2026 - 19:10
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GMKtec Evo-X3 review: Strix Halo in a brand new suit

With its 128GB of fast DDR5-8000 RAM and AMD’s potent Ryzen AI Max+ 395 processor there is a lot to like. The sleek and strong metallic Evo-X3 redesign is also welcome. However, the new price of this AI workstation is difficult to swallow.

Pros

  • +

    Uses AMD’s powerful Ryzen AI Max+ 395

  • +

    128GB of LPDDR5X-8000 memory on board

  • +

    Can use up to 96GB as VRAM

  • +

    USB4 and OCuLink ports are available

  • +

    Excellent metal build quality

  • +

    Quiet under load

Cons

  • -

    Quite large and heavy for a mini PC

  • -

    Sizable and heavy power brick

  • -

    Just one USB4 port

  • -

    Not enough video outputs

  • -

    Price doubled since the previous gen Evo-X2 launched

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GMKtec already has an AMD Strix Halo mini PC in its stables, in the form of the Evo-X2. Now, just six months later, we have another AMD Ryzen AI Max+ 395 processor-packing mini PC from GMKtec in the labs. The obvious difference is that the Evo-X3 has a brand new chassis and cooling design, it also comes with 128GB of LPDDR5X-8000 as standard. Those are welcome changes. Half a year later, though, the price has basically doubled as seemingly every electronics product with RAM and NAND chips inside has been affected by the ongoing component shortage.

The result is a desirable computer that will offer strong appeal to enthusiasts who want machines with a large pool of fast, unified RAM, in a competently revamped case. But you will have to have quite a compelling reason to part with the $3,799.99 our 128GB/2TB configuration costs in mid-2026.

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Mark Tyson

Mark Tyson is a news editor at Tom's Hardware. He enjoys covering the full breadth of PC tech; from business and semiconductor design to products approaching the edge of reason.

  • FoxtrotMichael-1

    Did I read correctly that this only has 2.5Gbe? If so, it’s practically dead on arrival as an AI workstation. Everyone that I know who has the money to shell out for a DGX Spark or Mac Studio with the M5 Ultra has at least 2 running clustered. 128GB unified RAM just isn’t enough to get serious work done with agents locally anymore. People who want an AI workstation are using them to replace Claude Code or Codex subscriptions to run jailbroken models, but those models still need to be 300B+ parameters to do significant coding or cybersecurity work. That slow networking just isn’t going to cut it when the DGX Spark comes with 200Gbe and the Mac Studio at least has 10Gbe.

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