As data-intensive AI workloads continue to reshape the future of computing, the demand for systems that combine powerful processing with massive local storage is rapidly growing. Beelink, a tech brand known for quality mini PCs, has officially unveiled several major additions to its ME Pro high-storage computer series, expanding the lineup with both 2-bay and 4-bay models powered by three high-performance processor platforms: Intel Core i5-13420H, AMD Ryzen 7 H 255, and AMD Ryzen AI 9 HX 370. The launch elevates the ME Pro series into a compact platform for AI computing, content creation, and high-capacity local data processing, while earlier models remain available as dependable storage-focused systems.

Modular Design Turns the ME Pro Into an Upgradeable Platform
One of the most distinctive features of the ME Pro series is its modular motherboard architecture, implemented via a drawer-style design that has drawn attention since the first ME Pro launch for both its aesthetics and practicality. With the new generation, Beelink has confirmed that motherboard modules are fully interchangeable within each chassis category, allowing users to upgrade processors without replacing the entire system. The company also stated that future motherboard modules featuring different processors will continue to be released, giving users greater flexibility to balance performance, power consumption, and workload requirements over time.

This transforms the ME Pro from a traditional one-time purchase into a long-term, evolving computing platform.

Built for Creative Workflows
The new ME Pro lineup is designed to support a wide range of demanding professional scenarios. For audio production, all three processor configurations deliver strong single-core CPU performance, enabling smooth digital audio editing with low latency even when running complex plugin-heavy projects. For video editing, the Ryzen 7 H 255 and Ryzen AI 9 HX 370 versions provide substantial multi-threaded processing and graphics rendering capabilities, making them well-suited for multi-track 4K video workflows. The flagship Ryzen AI 9 HX 370 version pushes the ME Pro further into AI territory, offering up to 80 TOPS of AI performance. Combined with support for up to 96GB of memory and flexible VRAM allocation, the system is positioned for local AI data processing and large-model inference workloads. Every ME Pro model comes standard with 10GbE Ethernet, enabling near-instant synchronization of large audio and video assets within local networks. Dual-network configurations also support advanced networking functions such as bandwidth aggregation, link aggregation, and internal/external network separation.

Up to 136TB of Storage in a Compact Form Factor
The ME Pro series is available in both 2-bay and 4-bay versions to accommodate different storage needs. The 2-bay model combines four SSD slots with two HDD bays, supporting up to 76TB of total storage capacity — an ideal configuration for independent creators and advanced home users. The 4-bay version expands the setup to four SSD slots and four HDD bays, delivering up to 136TB of storage for professional studios and collaborative production teams.

Different Platforms, Different Visual Identities
Beelink has also differentiated each processor platform through unique industrial design accents.
The Intel Core i5 version features a navy-blue color that emphasizes a professional and technology-focused aesthetic. AMD-powered models adopt an obsidian-black design with red accents to highlight performance-oriented styling. Meanwhile, an upcoming ARM-based version will arrive in pearl white, reflecting a minimalist design philosophy.

A Compact AI Storage Platform for the Future
With modular motherboard upgrades, dual-network connectivity, massive storage scalability, and high-performance processor options, the new ME Pro lineup represents Beelink’s broader vision for the future of compact computing. Rather than functioning solely as a traditional mini PC or NAS device, the ME Pro is being positioned as an integrated AI storage-and-computing platform designed around a “data-first” approach — where computing power scales according to user demand.