Frost & Sullivan: AI Pushing Cooling Up Data Centre Agenda

Cooling is becoming a core part of data centre strategy as AI workloads increase rack densities, energy demand and thermal pressure across digital infrastructure environments, according to a new Frost & Sullivan whitepaper.

The report, Strategic Cooling for the AI Era: How Data Centre Cooling Solutions Are Transforming Global Infrastructure, examines how AI training, hyperscale cloud growth, inference workloads and edge computing are changing cooling requirements across the sector.

Frost & Sullivan says operators are moving beyond traditional air-cooling approaches and adopting advanced thermal management systems to support higher-density infrastructure deployments.

The analysis highlights growing investment in liquid cooling architectures, higher capacity coolant distribution units (CDUs), direct-to-chip systems and other cooling technologies designed for AI-focused environments.

Cooling emerging as infrastructure priority

The report argues that cooling is no longer treated solely as a facilities management function.

Instead, it is becoming increasingly linked to operational resilience, uptime, energy optimisation and long-term infrastructure scalability.

As AI systems require greater compute density, thermal management is becoming more complex.

Operators are facing increased heat generation within server racks alongside rising pressure to improve sustainability performance and energy efficiency.

Monica Miches, Industrial Advisory Director at Frost & Sullivan, says cooling now plays a wider role in infrastructure planning.

"Cooling is no longer simply a facilities issue – it is becoming central to data centre efficiency, uptime resilience and sustainable digital growth in the AI era.

"As AI workloads continue to intensify, operators must rethink cooling not as an operational afterthought, but as a core strategic component of digital infrastructure design."

The report identifies direct-to-chip liquid cooling as one of the technologies gaining traction across hyperscale and AI infrastructure deployments.

These systems transfer heat away from processors more efficiently than traditional air-based methods, helping operators support higher rack power densities.

Frost & Sullivan also points to increasing demand for larger-capacity coolant distribution units, which manage liquid circulation within cooling systems for dense compute environments.

AI workloads reshape thermal management

The whitepaper examines how thermal management strategies are evolving as AI infrastructure begins to resemble industrial-scale power and cooling operations rather than traditional enterprise IT environments.

According to Frost & Sullivan, operators are increasingly prioritising reliability engineering, leak management and redundancy-by-design when deploying liquid cooling systems.

These measures are designed to improve uptime resilience and reduce operational risk in high-density deployments.

The report also highlights growing focus on environmental targets and water stewardship.

Cooling strategies are becoming more closely aligned with ESG goals as operators assess water consumption, energy efficiency and sustainability performance across facilities.

Emerging technologies, including two-phase cooling microchannel architectures and advanced fluid management systems, are expected to play a larger role as AI infrastructure expands over the coming years.

Two-phase cooling systems use liquid-to-gas phase changes to dissipate heat more efficiently, while microchannel cooling architectures use small fluid channels to improve thermal transfer directly at the component level.

Cooling investment and competitive advantage

Frost & Sullivan says cooling investment decisions are increasingly tied to wider infrastructure priorities, including deployment, scalability, operational performance and sustainability objectives.

The report outlines opportunities for cooling vendors and infrastructure providers across areas such as integrated thermal management platforms, advanced filtration systems, monitoring technologies and CDU-based reliability services.

Prem Shanmugam, VP and Global Practice Area Leader at Frost & Sullivan, says cooling capability is becoming a competitive differentiator within AI infrastructure markets.

"As AI infrastructure begins to resemble industrial-scale thermal systems rather than traditional IT environments, the competitive landscape will increasingly favour organisations capable of aligning cooling architecture with long-term operational, financial, and environmental objectives," he says.

Frost & Sullivan concludes that cooling innovation will play a growing role in determining infrastructure performance for hyperscalers, cloud providers, colocation operators, original equipment manufacturers and component suppliers as AI deployments continue to scale globally.