How CyrusOne’s Intelliscale Targets High-Density Workloads

CyrusOne is rolling out its Intelliscale data centre platform to address the sharp rise in power and infrastructure requirements driven by AI and high-density computing. 

The company says Intelliscale is engineered to meet rack densities of up to 300 kilowatts (kW), offering a compact, scalable design that uses a fraction of the space of conventional facilities.

With growing enterprise demand for AI model training and deployment, traditional data centres are increasingly unfit for purpose. 

This density shift introduces not only space challenges but also thermal loads that legacy cooling systems cannot handle.

Addressing the limits of legacy infrastructure

CyrusOne acknowledges that the conventional data centre model cannot support the requirements of modern AI and machine learning applications.

Jim Roche, Senior Vice President of Engineering at CyrusOne, explains how Intelliscale marks a shift in data centre design.

“The evolution of the data centre has been one that's over the last three years has changed drastically,” says Jim, speaking on the company's YouTube channel. “If you look back just three years ago, average rack densities were sub 5KW per rack. What we're seeing now, customers coming to the table — they're not asking for 10KW, double that — they're not asking for triple that. They're asking for densities that look like 50KW, 100KW and 300KW per rack.

“So the challenge is, it's not just moving air around in a data centre anymore. It's how do we approach this holistically and change the design of a data centre to be able to meet the needs of the customer.”

CyrusOne's Intelliscale design focuses on physical efficiency, with the potential to reduce data centre footprint by up to 75% depending on the application. 

The platform supports 100+ megawatt deployments, while maintaining consistent reliability and operational flexibility. 

Intelliscale also anticipates future requirements by integrating support for advanced cooling methods.

Cooling, adaptability and engineering repeatability

One of the core innovations behind Intelliscale is its ability to accommodate both air and liquid cooling technologies. 

This flexibility is central to enabling customers to scale without the risk of having to overhaul infrastructure during expansion. Jim discusses how the platform is designed for smooth technology transitions.

He highlights the importance of designing data centres that can pivot from air to liquid cooling, scaling components seamlessly and accelerating time-to-market through proven repeatability.

“When we were first designing Intelliscale, we understood that not everybody’s in the market for liquid, but every one of the customers that we talked to said they see a future of it,” says Jim. “The thought was: can we design it, make it financially viable to be air in the beginning, and if need be, pivot to liquid later on at some time?

“So when we think about design and build, repeatability is a big thing. We like that philosophy. The more repetitions you get, if you’re doing it the right way, the better you’re going to get at it. 

“Our thought with speed to market on Intelliscale was just that — we’re going to take the same components, the same structure, try to work within the same confines, the same building footprint, and have it assembled and put together by people who are used to doing it, who have done this one, two, ten, twenty times for us, where that becomes a process.

AI workloads such as model training, inference and data preprocessing demand high memory bandwidth, fast interconnects and large-scale parallel compute. These requirements are intensifying as data volumes increase. 

By supporting a range of cooling and configuration options, Intelliscale helps customers maintain pace with rapid hardware changes without incurring downtime or redesign costs.

A foundation built on operational experience

According to Jim, CyrusOne applies decades of engineering knowledge to next-generation facility builds. 

“One of CyrusOne’s biggest evolutions is our engineering team,” says Jim. “Not too long ago, we outsourced engineering. What we started seeing was this change in how designs were going to work. We really started looking at the need for people in-house. We need people who are at the table, who are sitting as CyrusOne employees, designing these data centres.”

“Liquid in a data centre is not new,” he adds. “What has changed is liquid at scale. We have to keep in mind that these components need to be something that is proven in the industry, readily available and backed by the service provider we’re getting it from.”

CyrusOne believes that by combining engineering repeatability with innovation in cooling and density management, it can provide customers with high-performance infrastructure that evolves in step with workload demands. 

The company’s focus on rapid scalability, energy efficiency and design modularity directly aligns with emerging data centre trends, where operators are increasingly required to deliver more compute per square metre while maintaining sustainability and uptime targets.

As AI drives exponential increases in compute requirements, solutions like Intelliscale will be central to how the data centre sector responds. 

CyrusOne’s strategy positions it to serve high-density deployments with engineering and operational consistency across its global footprint.