Training one AI model evaporates millions of gallons of water
Environment
Every query you send to a chatbot requires a massive thermal sacrifice, turning local drinking water into literal steam to keep high-powered processors from melting.
While we visualize the internet as a weightless cloud, the physical reality is a heavy, thirsty infrastructure. To prevent racks of servers from overheating, data centers use evaporative cooling systems that consume between one and five million gallons of water every day. This process relies on the high heat capacity of water to absorb the intense energy—up to 500 kilowatts per rack—generated during the training of large language models.