先进的数据中心按照 Tier 3 Uptime Certified 设计标准建造
先进的数据中心按照 Tier 3 Uptime Certified 设计标准建造

UNN Supports Ministry of Health Application Deployment with High-Performance AI Servers

Published at Dec 08, 2025 02:30 pm
(Bandar Seri Begawan, 8th) Unified National Networks (UNN) of Brunei, in collaboration with EVYD Technology Sdn Bhd, has successfully deployed high-performance artificial intelligence GPU servers at its colocation data center. This marks the official launch of Brunei’s first national-level AI application platform, providing support to the Ministry of Health (MoH) and its BruHealth application users—an important milestone.
This state-of-the-art data center is built according to the Tier 3 Uptime Certified design standard, which is the internationally recognized benchmark for data center reliability and availability. With dual power supplies, it ensures the uninterrupted operation of critical national digital services.

UNN’s colocation data center utilizes EVYD’s EVYDENCE data operating system platform, providing a secure, reliable, and localized environment for AI applications. Leveraging UNN’s high-availability infrastructure, the platform supports the development and deployment of advanced data analytics, machine learning, and AI-driven health insights. This enhances Brunei’s digital health capabilities and helps realize the nation’s data sovereignty goals.
“This collaboration marks a significant boost in Brunei’s medical technology capabilities,”
said Abby Tan, General Manager of EVYD Technology. “By integrating EVYDENCE’s healthcare data platform with UNN’s robust infrastructure, we can enable artificial intelligence applications to improve clinical decision-making, support public health initiatives, and enhance patient outcomes—all while ensuring full data sovereignty within Brunei.”
This initiative aligns with the Brunei Ministry of Health’s “Digital Health Strategy,” which aims to elevate the country’s integrated, data-driven healthcare services.

This deployment is highly significant for UNN, demonstrating the ability of Brunei’s commercial data center infrastructure to handle high-density AI workloads. UNN is also assessing a GPU-as-a-Service (GPUaaS) solution as part of its future development roadmap, aiming to provide clients with flexible access to powerful AI computing resources. This further reinforces UNN’s role in advancing digital transformation across industries, in line with the “Brunei Vision 2035.”
The platform is now operational at the Ministry of Health as an initial deployment, providing a proof-of-concept for AI-enhanced healthcare capabilities. The collaboration between UNN and EVYD lays the technical foundation for expanding AI capabilities within Brunei’s healthcare system, thus supporting smarter public services and data-driven policy-making.

Author

Liew Yun Kim


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