How to scale data centers with smart designs

The rapid growth of cloud computing, artificial intelligence and digital services is placing unprecedented pressure on global data centre capacity. As operators race to scale infrastructure, traditional approaches to data centre design and construction are proving too slow, costly and inflexible. To meet long-term demand, developers must rethink how facilities are planned, delivered and operated. Data center smart design offers a pathway to scale efficiently while maintaining resilience, performance and cost control.

Standardised reference designs with phased expansion

A foundational principle of scaling data centres is the development of robust reference designs. Rather than creating bespoke designs for each new campus, leading developers are adopting scalable horizontal and vertical reference designs that can be adapted to regional conditions. These designs optimise layout, structure and construction sequencing, while also enabling modularisation and off-site assembly.

Coupling reference designs with a phased expansion strategy allows data halls to be added sequentially as demand grows. By consolidating mechanical, electrical and plumbing systems into auxiliary units, operators can use space more efficiently and retain flexibility for future technology changes. The most effective approach balances standardisation and customisation reducing supply chain risk while preserving local optimisation.

Integrated delivery models to accelerate time to market

Scaling data centres also requires a fully integrated, end-to-end delivery model. Site selection, design and construction must be tightly linked, with clear accountability across the entire project lifecycle. Early-stage decisions should be assessed not only for technical feasibility but also for their impact on long-term value and delivery speed.

Advanced digital tools are increasingly supporting this approach. Generative scheduling, for example, uses 4D models to test thousands of construction sequencing scenarios, identifying optimal workforce deployment and equipment usage. When applied across a portfolio, these tools significantly shorten learning curves and can reduce delivery timelines by up to 20%. In the context of data center smart design, digital integration is becoming a core capability rather than a differentiator.

Rethinking power, mechanical and electrical systems at scale

As data centres grow to giga-scale, particularly those supporting AI training workloads, traditional assumptions about redundancy and performance require reassessment. While high availability remains critical, stacking redundancy at every system level can lead to overdesign, driving unnecessary cost and complexity.

A smarter approach is to define redundancy at the campus level, integrating risk-based decisions across power, cooling and electrical systems. This enables developers to achieve high reliability while optimising equipment specifications and layouts. At scale, these design decisions have a material impact on capital expenditure, commissioning timelines and operational efficiency.

Modular construction beyond prefabricated components

Prefabrication and modular construction are already common in data centre projects, often accounting for 40 to 60 per cent of components. However, many solutions remain limited to individual parts rather than fully integrated systems. To unlock greater speed and quality benefits, developers can look to industries such as oil and gas, where large-scale modules are assembled off-site and transported as complete units.

Applying this model to data centres, particularly for mechanical and electrical packages, can reduce on-site labour requirements, improve safety and enhance build quality. This shift is a critical enabler of data center smart design at scale.

Designing for future cooling technologies

Cooling strategy is one of the most consequential design decisions for modern data centres. As AI workloads drive rack densities beyond the limits of air cooling, liquid-based solutions are becoming essential. Options such as rear-door heat exchangers, direct-to-chip cooling and liquid immersion each carry different implications for layout, cost and long-term flexibility.

Selecting the right cooling technology requires a forward-looking view of future workloads and operating models. Early integration into design ensures facilities remain viable as computing demands continue to evolve.

Collaborative contracting and lean delivery

Finally, scaling successfully depends on how projects are governed and delivered. Collaborative contracting models, where contractors and suppliers are engaged early, enable better risk management, faster procurement and shared incentives. When combined with lean-manufacturing principles across technical systems, management structures and people capabilities, developers can improve performance across entire project portfolios.

In an era of accelerating demand, data center smart design is no longer optional. By standardising intelligently, integrating digital tools, embracing modularisation and planning for future technologies, data centre developers can scale with confidence while controlling cost, speed and quality.

To attend talks from industry leaders, connect with solution providers and network with peers, join us at the 3rd Constructing Green Data Centers: Revolutionizing Planning, Design, and Engineering, taking place February 10-11, 2026 in Las Vegas, Nevada, USA.

For more information, click here or email us at info@innovatrix.eu for the event agenda. Visit our LinkedIn to stay up to date on our latest speaker announcements and event news.

Source:

McKinsey

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