The AI industry has entered a significant turning point. Moving beyond the era of generative AI competition, the 'physical AI era,' in which AI powers real industries and the physical world, is now fully underway.
At the center of this transformation, Moa Life Plus declared the beginning of a new market on January 7, introducing its Micro AI Data Center as the vanguard. This announcement is drawing particular attention in the industry, as it is being demonstrated through Dr. Kim Jaeyoung’s research achievements in exosome stem cell production.
The Micro AI Data Center proposed by Moa Life Plus is fundamentally different from traditional large-scale, cloud-centric AI infrastructure. Instead of processing all computations in a massive central data center, this model installs compact AI servers directly at the site where data is generated, enabling immediate learning, analysis, and execution. This infrastructure is described as essential for the evolution of AI from a mere 'thinking tool' to an execution engine that delivers tangible results onsite.
The most symbolic example of this transition is the AI-based exosome stem cell production research led by Dr. Kim Jaeyoung. This research was conducted within Moa Life Plus’s Micro AI Data Center environment, where every stage-including exosome culture conditions, concentration processes, protein concentration, particle count, and marker expression-was designed to be recorded, learned, and reproduced in real time by the AI data server.
As a result, exosome production efficiency per unit culture area was increased by several hundred times, up to as much as a thousand times, compared to conventional methods. This achievement is significant because it is not merely an expansion of equipment, but a result of AI learning and optimizing the process itself. Industry experts have commented that this marks a new stage where AI is advancing beyond analysis to enhance bioproduction processes.
Through this demonstration, Moa Life Plus is sending a clear message: "AI competitiveness does not depend on who possesses a larger cloud, but on who installs AI in more locations." In industries such as biotechnology, manufacturing, education, public services, and safety-where data sensitivity and real-time requirements are critical-the limitations of relying solely on central cloud infrastructure are evident. The Micro AI Data Center fills this gap by directly 'deploying' AI at industrial sites.
This structure also offers strong advantages in terms of data sovereignty and IP protection. High-value bio data, such as that generated in exosome research, remains local and is not transferred externally, with AI learning and inference also taking place onsite. This not only meets the security, regulatory, and reliability requirements demanded in bio and public research environments, but also provides a foundation for researchers to utilize AI more proactively.
Industry analysts liken this shift to the 'PC-ization' of AI infrastructure. Just as the transition from mainframes to PCs once dramatically boosted productivity in industry and daily life, Micro AI Data Centers could transform AI from an exclusive asset of major tech companies into infrastructure accessible to laboratories, factories, and field sites alike.
A representative from Moa Life Plus stated, "Based on the operational data and achievements accumulated in Dr. Kim Jaeyoung’s exosome stem cell research, we plan to gradually expand into markets encompassing physical AI, bioproduction, education, research, and public data infrastructure." The representative added, "Our strategy goes beyond simply selling servers; we aim to build a structure where AI generates data, and that data, in turn, becomes the foundation of industrial competitiveness."
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