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IT News Africa
Designing the modern AI cooling stack
The 2026 State of the Data Centre Report highlights a dramatic increase in data center rack density from 16 kW to 27 kW, driven by AI workloads. As a result, a significant number of organizations are adopting liquid cooling solutions, with over 60% planning to implement it in the next two years. The evolution of cooling methods demands rethinking existing systems, with operators weighing factors like compatibility and energy efficiency in their decisions to adopt new liquid cooling architectures. Effective design is essential for accommodating high-density AI clusters while optimizing energy and water usage.
MonitorConfidence: HighShort term horizon
Published 24 Aug 2026, 10:41 UTC4 min read
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Summary
TL;DR
- Rack density rose from 16 kW to 27 kW in one year.
- 72% of operators expect increased capacity requirements due to AI workloads.
- Over 60% of organizations plan to use liquid cooling within two years.
- Three heat rejection methods define the most common liquid cooling architectures.
- Cooling design must consider efficiency, deployment speed, and existing infrastructure.
Interesting facts
- The rapid increase in rack density highlights significant shifts in data center requirements driven by AI technologies.
- Localized cooling solutions are crucial for retrofitting legacy data centers to accommodate modern AI workloads.