Why warm weather is a problem for computers
A data centre is, at heart, a large room full of computers working very hard. Every calculation turns a little electricity into heat, and a busy facility running artificial intelligence models can generate a remarkable amount of it. On a mild day this heat is carried away without much effort. During a heatwave the outside air is already warm, so the cooling systems have to work harder to shed the same amount of heat, and they use more energy doing it.
This matters because the chips that train and run AI models are sensitive to temperature. If they get too hot they slow themselves down to protect against damage, which means slower results for everyone relying on them. Keeping a steady, cool temperature is not a luxury. It is what allows the systems to run reliably hour after hour, through the hottest part of the day.
How data centres keep their cool
There is no single trick to cooling a data centre. Many sites still rely on large air-conditioning systems, moving cool air across rows of machines. Others use water, circulating it close to the hottest components to draw heat away more efficiently, then releasing that warmth outside. A growing number place their most demanding hardware in direct contact with liquid cooling, which handles concentrated heat better than air alone.
Operators also lean on simple, sensible design. Hot air and cold air are kept apart so they do not mix and waste effort. Sensors track temperature across the building so cooling is sent where it is needed rather than everywhere at once. During a heatwave these everyday measures are what stand between a smooth service and an overheated one, and they are tested precisely when the weather is least forgiving.
The energy question behind the heat
Cooling uses energy, and a heatwave often arrives at the same time as peak demand on the wider electricity grid, when households and offices are running their own cooling. This is the practical tension worth understanding: the same hot afternoon that makes a data centre work harder is also when the grid is most stretched. It is one reason the energy efficiency of artificial intelligence has become such a live topic, well beyond the technology pages.
None of this is cause for alarm. Engineers have been managing heat in computing for decades, and modern facilities are far more efficient than their predecessors. But a heatwave makes the trade-offs visible. It is a reminder that progress in artificial intelligence is tied to very ordinary things: buildings, water, power and the weather outside. Understanding that link is part of seeing the technology clearly, which is what the AI Overview tries to do each week.
Frequently asked questions
Why does hot weather affect data centres?
Computers turn electricity into heat as they work. When the outside air is already warm, cooling systems must work harder to remove that heat, using more energy, and the chips that run AI models can slow down if they get too hot.
How do data centres stay cool in a heatwave?
They combine air conditioning, water cooling and, increasingly, liquid cooling placed close to the hottest chips, along with careful design that keeps hot and cold air separated and directs cooling where it is needed.
Does cooling artificial intelligence use a lot of energy?
Cooling does use energy, and demand often peaks during a heatwave when the grid is already stretched. Modern data centres are much more efficient than older ones, but the link between AI, energy and the weather is a real one worth understanding.