Avalue Technology Inc.（TPEx: 3479.TWO）, a provider specializing in industrial computer solutions, has officially introduced its new medical AI system portfolio, featuring the high-performance AI computing platform MAB-T690 and the medical-grade edge AI Box PC MAB-T660D. Centered on enabling real-world clinical adoption, the lineup targets key healthcare scenarios such as surgical assistance, AI-powered medical imaging diagnostics, and telemedicine—helping healthcare providers accelerate AI integration while enhancing efficiency and decision-making quality.
As AI continues to advance across applications including medical imaging analysis, surgical navigation, and real-time patient monitoring, demand is rising for computing platforms that combine high performance, low latency, and regulatory compliance. Through a front-end and back-end collaborative architecture powered by the MAB-T690 and MAB-T660D, Avalue supports healthcare institutions in transitioning from pilot AI projects to large-scale clinical deployment, establishing a scalable and reliable foundation for smart healthcare computing.
At the system architecture level, the MAB-T690 serves as the backend computing core—effectively the “AI brain” of the solution—engineered for high-load scenarios. It supports NVIDIA RTX Pro 5000 series GPUs and offers dual-GPU expansion, enabling workload distribution across AI inference, image processing, 3D reconstruction, and data computation tasks. This design minimizes resource contention and significantly boosts overall computing efficiency.
Its powerful processing capabilities support large-scale AI model training, multimodal medical data integration (including imaging and electronic health records), as well as high-resolution CT and MRI analysis. The platform is ideally suited for deployment in hospital data centers, AI imaging platforms, and research institutions, acting as a critical engine for healthcare digital transformation.
In contrast, the MAB-T660D is positioned as an edge AI computing platform for clinical environments, functioning as a “real-time decision-making frontliner.” Equipped with an NVIDIA RTX 2000E Ada GPU, it enables on-site AI inference, reducing data transmission latency and accelerating diagnostic workflows. With PCIe Gen4 x16 expansion, the system can seamlessly integrate frame grabber cards and other medical devices, making it well-suited for operating rooms, consultation rooms, and bedside applications. It supports real-time image analysis and streaming, surgical assistance, and multi-device data synchronization—while reducing reliance on cloud computing and enhancing system stability and data security.
Both systems feature medical-grade electrical design and comply with the IEC/EN 60601-1 international medical safety standards, ensuring safe and stable operation in high-sensitivity environments such as operating rooms and intensive care units (ICUs). This makes them reliable infrastructure for deploying AI in clinical settings.
From an application perspective, Avalue’s new portfolio supports a wide range of high-value healthcare scenarios. In operating rooms, it enables real-time image analysis, surgical navigation, and robotic-assisted computation to improve precision and safety. For AI-driven medical imaging, it delivers real-time inference and diagnostic assistance for high-resolution CT and MRI scans. In telemedicine and imaging streaming applications, it provides stable, high-quality data transmission and edge processing capabilities. Additionally, it supports critical care and bedside AI applications with real-time data analysis and early warning detection.
By combining the front-end MAB-T660D with the back-end MAB-T690, healthcare providers can flexibly allocate computing resources based on application needs—building a comprehensive AI architecture that spans data acquisition, real-time inference, and centralized high-performance computing. This integrated approach enables the transition of medical AI from proof-of-concept to scalable deployment.
With deep roots in the smart healthcare sector, Avalue’s latest medical AI system portfolio demonstrates its strong integration capabilities in medical computing and edge AI. It also addresses the growing global demand for high-performance and highly reliable computing platforms in healthcare. Moving forward, Avalue will continue to collaborate with partners to expand AI applications in clinical practice—driving the development of more efficient, precise, and secure smart healthcare environments worldwide.