GMKtec Unveils the Evo-X5 Pro Mini-PC Featuring AMD’s Ryzen AI Max+ Pro 495 and 192GB of Memory

GMKtec has officially launched the Evo-X5 Pro, its latest flagship agentic AI mini-PC designed to bring workstation-class performance to an ultra-compact form factor. Built around some of the most powerful mobile silicon available on the market today, the new system leverages AMD’s advanced Ryzen AI Max+ Pro 495 processor alongside a staggering 192GB of high-speed unified memory. Aimed at professionals, developers, and power users who require massive compute and memory resources for localized artificial intelligence workloads, data analysis, and heavy multitasking, the Evo-X5 Pro represents a major leap forward for the mini-PC segment, though its unprecedented capabilities come with a correspondingly high price tag.

At the heart of the GMKtec Evo-X5 Pro is AMD’s flagship processor, part of the Ryzen AI Max 400 series—frequently referred to by its codename "Gorgon Halo." This refreshed APU architecture combines cutting-edge Zen 5 CPU cores with powerful RDNA 3.5 graphics capabilities, offering a maximum clock speed of up to 5.2 GHz. Designed to handle demanding computational tasks natively on the device without relying entirely on cloud infrastructure, the processor integrates a high-performance neural processing unit (NPU) tailored specifically for agentic AI tasks. These agentic systems, which are capable of autonomous reasoning, workflow management, and complex problem-solving, demand significant hardware backing, making the combination of Zen 5 architecture and advanced AI acceleration a natural fit for this class of mini-PC.

Perhaps the most striking specification of the Evo-X5 Pro is its memory configuration. The system is equipped with an immense 192GB of LPDDR5X-8533 memory. In modern APU architectures, system memory also serves as the video RAM (VRAM) for the integrated graphics processor through unified memory allocation. Providing 192GB of high-bandwidth LPDDR5X memory running at 8533 MT/s allows the Evo-X5 Pro to run massive localized large language models (LLMs), complex machine learning training and inference tasks, and intensive rendering workloads that would typically require a dedicated desktop workstation equipped with multiple high-end graphics cards. This massive memory pool addresses one of the most significant bottlenecks in running advanced AI models locally, giving developers and researchers a portable yet exceptionally capable development station.

Storage configurations for the new flagship mini-PC are similarly built for high-performance enterprise and professional use. GMKtec is offering the Evo-X5 Pro paired with fast PCIe 4.0 NVMe solid-state drives. The pricing for the system reflects its ultra-high-end hardware specifications and niche target market. The model configured with a 2TB PCIe 4.0 SSD retails for $6,799, placing it firmly in the enterprise and specialized workstation pricing tier. For users requiring additional local storage capacity for large datasets, model weights, and media files, a 4TB storage configuration is also available, carrying a price tag of $7,099.

The launch of the Evo-X5 Pro highlights a broader industry trend toward packing server-grade and high-end desktop-class components into increasingly smaller chassis. As artificial intelligence moves from cloud-based server farms to edge devices and local client hardware, manufacturers are under mounting pressure to deliver thermal solutions and power delivery systems capable of supporting components like the Gorgon Halo APU within a compact mini-PC enclosure. GMKtec’s entry into this high-end segment demonstrates the growing demand for localized, privacy-focused AI hardware that does not compromise on raw performance or memory capacity.

By combining AMD’s top-tier Ryzen AI silicon with a record-setting amount of unified memory in a compact desktop footprint, the GMKtec Evo-X5 Pro carves out a distinct position in the professional hardware market. While the steep price points of $6,799 for the 2TB version and $7,099 for the 4TB version will likely restrict the machine to enterprise environments, specialized researchers, and dedicated AI developers, the mini-PC showcases the outer limits of what is currently possible in modern small-form-factor engineering.