F E A T U R E
rely on powerful processors that perform vast numbers of calculations at once, generating a great deal of heat along the way. To make best use of space, they are often installed close together inside tall metal frames known as racks.
As more equipment is fitted into each rack, heat output rises. At the same time, AI workloads tend to run continuously rather than switching on and off. Unlike traditional computing, where demand often fluctuated, AI systems can operate at high intensity around the clock.
This creates a steady and sustained thermal load. Cooling systems must remove heat consistently, without respite. For newer facilities designed with this in mind, that challenge can be managed. For older sites, it places existing plant under constant pressure.
Cooling systems designed for a different era
Many data centres still rely on cooling equipment that was installed when computing demands looked very different. These systems were built to cope with lower heat output, more variation in demand and regular opportunities for downtime.
Over time, components such as chillers, air handling units and control systems reach the end of their intended working life. Rather than being replaced, they are often repaired and kept
24 www. intelligentdatacentres. com