GMKtec EVO-X3 AI Mini PC Arrives with Exclusive Early-Bird Savings


The race toward AI-powered personal computing is accelerating, and GMKtec is preparing to make a major statement with the upcoming launch of the EVO-X3, a compact yet extraordinarily powerful AI workstation built around AMD’s flagship Ryzen AI Max+ 395 processor. Designed for AI developers, content creators, power users, and enthusiasts who demand desktop-class performance in a compact footprint, the EVO-X3 combines cutting-edge CPU technology, advanced integrated graphics, massive memory capacity, and dedicated AI acceleration into one sleek metal chassis. Even better, GMKtec is offering an exclusive early-bird opportunity for the first wave of buyers, including a special $20 discount and priority access before the official public release..

At the heart of the EVO-X3 lies AMD’s flagship Ryzen AI Max+ 395 processor, a powerhouse built on TSMC’s advanced 4nm manufacturing process. Featuring 16 cores, 32 threads, boost frequencies reaching up to 5.1GHz, and a massive 126 TOPS of total AI computing power, the processor is designed to handle everything from demanding productivity workloads and content creation to AI model deployment and local inference. The dedicated XDNA 2 NPU contributes up to 50 TOPS of AI acceleration on its own, enabling advanced AI tasks to run efficiently without relying entirely on cloud-based services.

Graphics performance is equally impressive. The EVO-X3 incorporates AMD’s flagship Radeon 8060S integrated graphics processor, built on the latest RDNA 3.5 architecture and featuring 40 compute units operating at speeds up to 2900MHz. This next-generation integrated GPU delivers performance that pushes the boundaries of what users can expect from a compact system, making the EVO-X3 suitable for creative applications, high-resolution video editing, 3D rendering, AI workloads, and even modern gaming. For users requiring even greater graphics power, GMKtec has included an OCuLink PCIe Gen4 x4 interface, allowing connection to external desktop-class graphics cards, including powerful RTX-series GPUs.

One of the most compelling aspects of the EVO-X3 is its focus on local AI computing. As artificial intelligence increasingly becomes part of daily workflows, many users are seeking hardware capable of running large language models and AI agents locally. GMKtec addresses this demand with support for up to 128GB of ultra-fast LPDDR5X memory operating at speeds up to 8000MT/s. Combined with the powerful processor and integrated NPU, the system is designed to handle sophisticated AI workloads directly on the device. The inclusion of GMKtec’s Claw and Wrangler AI framework further enhances its appeal, providing built-in support for local AI agents and inference without recurring subscription costs or dependence on remote cloud infrastructure.

Storage capabilities are equally impressive. The EVO-X3 supports dual M.2 2280 PCIe 4.0 x4 solid-state drives with total capacities reaching up to 16TB, offering ample space for large AI datasets, creative projects, virtual machines, software development environments, and extensive media libraries. Such storage flexibility transforms the compact EVO-X3 into a true workstation-class machine capable of supporting professional workloads.

Connectivity has been designed with future-proof performance in mind. The system includes a USB4 interface offering bandwidth up to 40Gbps, support for 100W Power Delivery, and high-speed video output capabilities. Dual-display support reaches resolutions up to 8K through HDMI 2.1 and USB4 connections, while the latest Wi-Fi 7 technology delivers wireless speeds of up to 2.9Gbps. Bluetooth 5.4 further ensures compatibility with modern peripherals and accessories, making the EVO-X3 a highly versatile platform for both professional and enthusiast users.

Despite packing such powerful hardware, the EVO-X3 maintains a sleek, premium appearance thanks to its ultra-thin full-metal chassis. The industrial design reflects GMKtec’s focus on combining aesthetics with functionality, resulting in a workstation that looks as impressive as its specifications. To ensure sustained performance during heavy workloads, the system utilizes a sophisticated triple-fan cooling solution engineered to dissipate heat efficiently while maintaining low noise levels. Whether processing AI models, rendering video content, compiling software, or running demanding simulations, the EVO-X3 is built to maintain peak performance under pressure.

The system’s versatility extends to software support as well, with compatibility for Windows 11 Pro, Linux distributions, and Ubuntu, making it an attractive option for developers, creators, researchers, and enterprise users operating across multiple ecosystems.

To celebrate the upcoming launch, GMKtec is offering an exclusive early-bird opportunity for prospective buyers. Only 100 units worldwide will be made available during the initial release wave, creating a highly limited opportunity for enthusiasts eager to secure one of the first EVO-X3 systems. Subscribers who register before launch will receive priority notifications, early purchasing access ahead of the general public, and an exclusive $20 discount code, EVOX320. More importantly, subscribers gain guaranteed placement in the first 100-unit allocation queue, ensuring access before inventory becomes available to the wider market.

With its combination of AMD’s groundbreaking Ryzen AI Max+ 395 processor, Radeon 8060S graphics, up to 128GB of LPDDR5X memory, workstation-class storage capabilities, AI-focused architecture, OCuLink expansion, Wi-Fi 7 connectivity, and premium metal construction, the GMKtec EVO-X3 is shaping up to be one of the most exciting AI mini PCs of the year.

The official launch is scheduled for July 6, and with only 100 early-bird units available worldwide, demand is expected to be exceptionally strong. For professionals, creators, AI developers, and power users looking to embrace the next generation of local AI computing, the EVO-X3 may represent one of the most compelling compact workstation solutions to arrive in 2026.

 

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