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EPG Brings AICore Prefabricated Solution to DCD>Connect | APAC 2026

DCD>Connect | APAC 2026 recently took place in Nusa Dua, Bali, one of the most influential annual data center events in the region. The summit drew over 2,000 decision-makers from cloud computing, hyperscale operators, and infrastructure investment, all exploring new trends and challenges in AI-era data center construction.

This marked EPG’s third appearance at the summit, this time as an official sponsor. Built on years of experience in modular data centers, prefabricated delivery, and AI infrastructure, EPG’s AICore prefabricated solution became a key focal point on the show floor, showcasing modular design, prefabricated delivery, flexible scalability, and rapid deployment. The solution drew strong interest from customers and ecosystem partners exploring new approaches to data center construction in the AI computing era.

Build Faster, Build More Reliably: The Prefabricated Logic Behind EPG AICore

During the summit, Cynthia Xiao, Chief Engineer at EPG, delivered a keynote presenting the design philosophy and practical approach behind EPG AICore to industry leaders from across the region. She emphasized that AI deployment today is a race against time. Prefabrication and modularity don’t just speed up delivery; they also give compute infrastructure the ability to operate efficiently, scale flexibly, and evolve continuously.

Traditional data center builds install and commission IT space, power, cooling, cabling, and fire protection separately on-site, driving up coordination costs and schedule risk across trades. EPG AICore flips that model: the IT POD, medium-voltage power module, generator module, and cooling module are pre-assembled, pre-wired, and factory-tested before shipment, then installed and commissioned quickly on-site, keeping complexity in the factory and risk out of the field.

On the technical side, EPG AICore is built for next-generation high-density platforms such as NVIDIA GB200/300, configurable to project scale, and compliant with Uptime Tier III. A zoned isolation design separates lithium batteries from power equipment, reducing the risk of thermal runaway and easing cooling and maintenance. On the power side, a supercapacitor-based PTU module manages millisecond-level power swings during AI training to keep compute running.  Cooling options adapt to local climate and water supply, from air-cooled magnetic levitation systems for water-scarce sites to standard liquid cooling, while skid-mounted deployment suits warehouse and retrofit projects.

Local Manufacturing, End-to-End Delivery: EPG’s Edge in APAC

AI compute demand is fueling a wave of high-density, fast-paced data center construction across Southeast Asia. Singapore, Malaysia, Thailand, and Indonesia are scaling up AI infrastructure, with bigger projects and tighter timelines raising the stakes on power, cooling, on-site coordination, and delivery. For customers, a solution has to prove itself beyond the drawing board, through real construction, commissioning, and years of operation.

EPG has continued building out an advanced manufacturing base in Johor, Malaysia, which cuts logistics times for the region compared with long-distance shipping. Local teams across Southeast Asia provide engineering support during critical installation and commissioning phases. By moving more engineering work, from design and manufacturing to testing and on-site deployment, into the factory stage, EPG resolves delivery uncertainty before it reaches the site. For AI data center projects with tight timelines and high system integration, this reduces on-site rework and keeps project progress more rhythmic and assured.

As AI compute scales rapidly, data center projects demand greater speed and engineering controllability in delivery. EPG AICore’s prefabricated system, backed by EPG’s manufacturing and local delivery capabilities across APAC, reflects sustained investment in this direction. EPG will continue using the APAC market as a key pivot, deepening modular, prefabricated, and localized delivery to support AI infrastructure projects across more regions.