
Most users do not know that a lot of data processing and electricity is consumed to operate AI models. Do you know that a lot of water is also needed to run AI properly?

In recent times, trends related to Artificial Intelligence (AI) are becoming increasingly popular. However, most users do not know that a lot of data processing and electricity is consumed to operate AI models. Do you know that a lot of water is also needed to run AI properly? This need is mainly felt in data centers where AI models are trained and operated.
How is water spent?
It is important to keep data centers cool to work properly, because they get very hot due to heavy data processing. To cool them down, a cooling system is used, in which clean water plays an important role. Water is circulated with the help of cooling towers or other cooling systems, so that the heat of the server can be reduced.
For example, training large AI models requires computer systems to run continuously for days or weeks, which generates a lot of heat. To control this heat, water consumption increases significantly.
Both electricity and water are needed
AI data centers consume a large amount of electricity as well as water. The use of electricity not only increases carbon emissions but also increases the demand for water. This is because many thermal power plants use a lot of water to generate electricity. In this way, the increasing use of AI is not only putting pressure on water resources but it is also affecting climate change.
Experts are worried about the future
If the use of AI technology continues to grow at this speed, the water crisis may become even more serious in the coming days. Especially in those areas where there is already a shortage of water, building AI data centers there can make the situation worse. Experts believe that if this problem is not paid attention to, the situation regarding water management may worsen in the coming few years.