Perspectives: Data Center Ecosystem Part 2

Campus-Scale -> Standardization in Design and Construction

James Soh. First published on 5th of September, 2025.

The Rise of the Mega-Campus: A New Normal for Digital Infrastructure

The one-off data center of the past is rapidly being replaced by vast, campus-scale developments. Spanning multiple buildings and hundreds of megawatts, these mega-campuses are now central to the digital infrastructure for cloud, AI, and enterprise giants. The key to their rapid deployment and resilience isn't just their immense size; it’s an industry-wide standardization that shapes every step, from master planning and design to supply chain and site operations.

The Mega-Campus Paradigm Shift

The primary forces behind this shift are the explosive growth of AI workloads and the immense demands of hyperscale cloud clients. These clients require the rapid and repeatable deployment of highly efficient infrastructure to support intensive power and cooling demands at a massive scale. AI workloads, in particular, are pushing compute and cooling requirements beyond traditional limits, which necessitates more integrated, sustainable, and digitized MEP designs.

As a result, the largest operators and hyperscale clients no longer think in terms of single sites, but in campuses that can host multiple facilities and phased expansion, with aggregated energy, cooling, and network resources. Planning cycles now extend up to a decade ahead, making flexibility and modularity central to these strategies. The campus model allows for demand aggregation for efficiency, such as shared substations and cooling plants, faster scaling to meet surges in AI/ML workloads, and future-proofing for evolving client and technology needs. It also streamlines regulatory and permitting processes and supports the co-development of renewable energy and water treatment solutions, as seen in recent announcements in Johor.

Master Planning and Reference Design

These large-scale campuses are conceived with standardized blueprints known as master reference designs. These designs cover every aspect, from site layout and utility corridors to building forms and equipment blocks. Early engagement with utilities, local authorities, and community partners aligns the long-term vision with the market context. The "kit-of-parts" design method ensures each new building or phase matches global standards for power and cooling densities, sustainability, and operational support. This approach leads to compressed schedules, simplified permitting, and a ready alignment with hyperscale client requirements. It also minimizes rework while enabling faster troubleshooting and repeatable operational outcomes.

Whether the client/s are tha main driving factor for the Data Center Ecosystem to reposition the stakeholders to deliver, it depends on their procurement strategy and so far it is not apparent that the client-centric Ecosystem is prevalent. One deeper factor could be that the AI-enabling GPU that is pushing the speed for delivery to either lead in the AI race or the annual technology and performance upgrade of the GPU and fear of obsolescence pushes faster data center development or a combination of these factors are beyond the scope of this series.

Figure 1: The Client-Centric Data Center Ecosystem 

Figure 2: The DC Operator-Centric Data Center Ecosystem A conceptual diagram of the modern data center ecosystem, illustrating the central role of the data center operator as the key orchestrator of a network of interconnected partners.

The Interdependence of Campus Scale and Standardization

This year, the many announcements of near gigawatt-scale data center campuses reveals a critical interdependence where each element actively enables the other. The sheer complexity of operating multiple interconnected buildings, with some campuses well exceeding 100MW of IT power demand, makes one-off or bespoke solutions impractical and traditional data center project development constraints the expansion pace needed.

Campus Scale Necessitates Standardization

Operating multiple interconnected buildings, some exceeding 100MW as seen in Inner Mongolia's data center parks, makes bespoke solutions impractical. Hyperscale campuses rely heavily on master reference designs that feature identical building envelopes, repeatable MEP modules, common utility corridors, and harmonized control systems. Without this repeatability, the risk and logistical challenges would be unmanageable given the strict demands of AI and cloud clients.

Standardization Enables Campus Scale

Standardized designs, interfaces, and processes facilitate the rapid delivery, commissioning, and operations of vast multi-building campuses. The data center hubs in Inner Mongolia, for instance, use prefabricated power and cooling systems transported and installed with just-in-time (JIT) logistics, enabling rapid phased construction. Similar "kit-of-parts" strategies are employed in Johor, Malaysia, and Thailand’s Eastern Economic Corridor, where modular power and cooling pods allow for simultaneous expansion and swift client integration. This dynamic creates a strategic flywheel effect: larger campuses demand more standardization, which in turn enables even greater scale, compressing build schedules and optimizing capital deployment.

Prefabrication and Modular Construction

One of the clearest signs of this new ecosystem advantage is the rise of modular prefabrication and just-in-time (JIT) logistics for critical MEP systems. Instead of assembling electrical and cooling systems piece-by-piece on-site, suppliers manufacture entire modules—such as switchgear rooms and power distribution units—in factory environments to precise specifications.

These modules are delivered precisely on a just-in-time basis for site installation, which enables faster and higher-quality construction with fewer errors. This approach requires tightly orchestrated collaboration: designers coordinate early with manufacturers, procurement teams synchronize timings with multiple suppliers, and logistics and site teams plan hoisting and connections in detail. This strategy mirrors Toyota’s "keiretsu" system, where trusted suppliers deliver parts exactly when needed for continuous lean workflows.

Pros and Cons of MEP Prefabrication and Standardization

Pros

• Faster Construction: Prefabricated power and cooling systems enable rapid phased construction, helping to cut build times by nearly a third.

• Improved Quality: By manufacturing entire modules in a controlled factory environment to exact specifications, prefabrication enables higher-quality construction with fewer errors.

• Streamlined Logistics: Modular components are delivered on a just-in-time basis, which requires tightly orchestrated collaboration to ensure synchronized timing and reduced lead times.

• Risk Mitigation: Quality is controlled upstream and delivery timings are tightly synchronized, reducing the risk of project overruns, rework, and delays.

• Reduced Labor Dependency: This approach simplifies on-site installation requirements and mitigates challenges posed by the scarcity of skilled manpower, especially in remote locations.

Potential Cons

• Higher Upfront Costs: The initial cost of custom-designed modular components can be higher than traditional construction methods.

• Transportation Challenges: Transporting oversized modules to a site can be complex and expensive, particularly if the location has difficult road access.

• Design Rigidity: The "kit-of-parts" approach can be less flexible once a design is finalized, making it difficult to adapt to last-minute on-site changes.

• Dependence on Suppliers: Relying on a small number of specialized suppliers for certified modules can create a single point of bottleneck in the supply chain.

Mitigating the Cons of Prefabrication

Data center operators, clients, and ecosystem partners can mitigate these potential cons by building transparent, trust-based, long-term partnerships.

To address higher upfront costs and design rigidity, they can establish long-term commitments across multiple campuses, using bulk procurement to reduce costs over time and co-designing solutions to ensure the modular approach is flexible. By shifting to consolidate at one or two trusted integrator partner near the manufacturing hubs like in JiangSu/ZheJiang and close to major sea ports, there are cost savings to be shared among the stakeholders.

To overcome supply chain and logistical challenges, they can build a trusted ecosystem of certified suppliers and specialized logistics firms. By orchestrating every step—from design and manufacturing to delivery and on-site connections—the ecosystem can minimize lead times, ensure quality, and pivot swiftly when disruptions occur. This integrated approach turns potential risks into a competitive advantage.

The Supply Chain and Stakeholder Collaboration

The shift to campus-scale, standardized data centers has completely transformed supply chains. It puts a stronger emphasis on supplier reliability and certification for modular compatibility. Bulk procurement enabled by consistent standards helps to reduce costs and increase supply chain resilience. This evolution blurs the boundaries among all parties, requiring transparent, trust-based, long-term partnerships.

Campus projects depend on collaboration among a wide range of stakeholders, from real estate authorities and design engineers to cloud tenants and utility providers.

Standardization and modularity create a shared language and predictable processes that reduce errors and enable seamless handoffs, with each phase benefiting from lessons learned in the previous one.

Risk Mitigation and Agility

The use of modular prefabrication and JIT orchestration reduces risks by controlling quality upstream and tightly synchronizing delivery timings. This is critical for minimizing project overruns and delays. When disruptions occur, such as supply chain shocks or sudden client demands, well-coordinated ecosystems can pivot swiftly. Modular designs also allow for phased implementation and incremental technology upgrades without costly shutdowns.

Real-World Impact in Southeast Asia

Across Southeast Asia, campus projects demonstrate the effectiveness of this new model. In Johor, Malaysia, multi-building campuses routinely cut build times by nearly a third by deploying factory-assembled power rooms and integrated chiller modules. Similarly, in Thailand's Eastern Economic Corridor, new AI-optimized data centers use standardized modular cooling and power pods to meet surging compute demands.

The adoption of prefabricated MEP modular designs has also effectively mitigated challenges posed by remote locations and the scarcity of skilled manpower, simplifying on-site installation and accelerating project timelines. These examples underscore how ecosystem orchestration enabled by prefabrication and JIT delivery creates a sustainable competitive advantage.

An article on Singapore Straits Times (Title: "Data Centres to drive nearly three fold jump in Singapore Jobs") alludes to the need for data centers in Singapore. We should look at the positive impact on the Singapore job market by development in South East Asia, such as the scale and ecosystem approach, and we have the specialist companies and experienced professionals to adapt and lead these fast changing shifts by embracing technological change, change design and project implementation approaches, and grow with the expansion of data center campuses in and outside of Singapore.

Conclusion

While standardized design and streamlined construction mitigate build-phase risks, they also introduce a new set of challenges for long-term operational excellence.

In Part 3, we will explore this evolution in operations and how a culture of integrated risk management can ensure resilience and security for the digital infrastructure of tomorrow.