Earth in Crisis
Training and operating large AI models like ChatGPT require significant computational resources, leading to high energy consumption. Data centers housing these models are major contributors to global electricity use. Estimates suggest that AI could surpass Bitcoin mining in energy consumption by the end of 2025, potentially using nearly half of the electricity consumed by global data centers . Lifewire Earth.Org +5 Wikipedia +5 Royal Roads University Library Guides +5 The Verge 💧 Water Usage Cooling the servers in data centers necessitates substantial amounts of water. A study from the University of California, Riverside, found that training GPT-3 consumed approximately 700,000 liters of freshwater—equivalent to the amount needed to produce 370 BMW cars or 320 Tesla vehicles . Additionally, each ChatGPT session can use up to half a liter of water, mainly for cooling purposes . Earth.Org +1 Wikipedia +1 Wikipedia +1 Royal Roads University Lib...