Home Insights Real estate Data center viability requires design flexibility
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At-a-glance

The industry has shifted considerably in the almost two years since we wrote Data centers: Viable for the long term

  • Data center designs have evolved to accommodate the dramatically higher (and still rising) densities associated with AI training deployments
  • In Europe in particular, sustainability-focused regulations are driving new designs and approaches to data center development and operations

Amid all this change, the data centers built five, ten, fifteen years ago have not become obsolete

  • Existing data centers support traditional workloads (including cloud), which continue to grow
  • Where land and power are growing increasingly constrained, existing facilities are ever more valuable—even as their existing mechanical, electrical, and plumbing (MEP) infrastructure ages
  • In some cases, additional value can be created by retrofitting existing data centers to support new workloads and/or meet new regulatory requirements

New data centers are being designed with flexibility to adapt to future changes, ensuring long-term viability

Data center designs have evolved to accommodate increasingly high (and still rising) power densities

Compared to traditional workloads, AI workloads (in particular, AI training) are considerably more power intensive, and deployments are at much higher densities. (Learn more in AI is transforming the data center). Exhibit 1 demonstrates how density increases have dramatically accelerated as AI training architectures continue to evolve. For example, Nvidia’s 2024-era graphics processing unit (GPU) architecture, Hopper, was designed for a density of 41 kW per rack. The very next generation, Blackwell, is architected for 120 kW. In March 2025, Nvidia CEO Jensen Huang announced a roadmap for 600 kW racks by the end of 2027.

Among the most significant impacts of rising density is the need for new cooling technologies. Specifically, liquid cooling is necessary to handle the extreme heat densities of AI and other advanced workloads. By bringing coolant directly to server racks, liquid cooling can support much higher power densities than traditional air cooling.

Will power requirements and densities continue to rise? For example, the Chinese AI company DeepSeek claims to have created a sophisticated machine learning model using 10-40 times less energy than similar U.S. AI technology, though the jury is still out on the validity of those claims and the methods DeepSeek used. Regardless, efficiency gains would most likely raise utilization and maintain or even increase power demands, cluster sizes, and rack densities—just as adding lanes to a freeway encourages more drivers to use the road.

Exhibit 1: AI calls for massively denser rack deployments

Data center density

Chart showing data center density mildly increasing from 2011-2020 and then rapidly increasing from 2024-2027.

Source: 2011, 2017, and 2020 data points reflect average density per rack as reported by Uptime Institute in December 2020. 2024, 2025, and 2027 data points reflect Nvidia GPU architecture specifications.

Data center designs have evolved to accommodate new sustainability regulations

In Europe in particular, sustainability-focused regulations are driving new data center designs and approaches to development and operations. For example, in Germany the Energy Efficiency Act makes power efficiency targets obligatory for data centers, depending on their initial operational date. (Learn more in Evolving data center sustainability and the role of the capital partner). To comply with Power Usage Effectiveness (PUE) requirements, operators will need to construct new data centers with energy-efficient designs, while existing facilities may require renovations and upgrades to meet these standards.

New data centers are being designed with flexibility

With the rapid evolution of AI applications and the increasing density of AI training architectures, predicting data center requirements even five years into the future is quite challenging. So, developers are designing with flexibility to adapt to both current and future tenant requirements. This adaptability is especially important for data centers that may need to support high-density AI training operations today, while being able to transition to lower-density AI inference in the future.

The data center industry continues to demonstrate remarkable adaptability, balancing new technological demands with the ongoing value of existing facilities. While new data centers are being designed with future-proof flexibility, older facilities remain valuable assets, particularly in resource-constrained areas. For more of our thoughts on how flexibility is crucial for data center viability, read our full report (PDF).

Real estate

Footnotes

In Exhibit 1, the 2011, 2017, and 2020 data points reflect average densities reported by data center operators across a wide range of deployments. The 2024, 2025, and 2027 data points are not reported densities but Nvidia design specifications, and it’s hard to imagine widespread deployments at densities of 600 kW per rack in just two years. But data center developers are currently being asked to support design specifications in the 120 kW+ range, and Exhibit 1 is a fair illustration of the incredibly massive and rapid increase in density.
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Data center properties and will only be attractive to a unique type of tenant. A limited tenant base increases the risk of vacancy. Additionally, a property designed to be a data center property, may be difficult to relet to another type of tenant or convert to another use and will be more likely to become functionally obsolete when compared to other properties. For example, if converted to industrial use, the expected rents would be lower than that projected for data centers. Thus, if operating a data center were to become unprofitable, the liquidation value of properties may be substantially less than would be the case if the properties were readily adaptable to other uses.

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