Summary
AI data centers need large amounts of water and energy to cool their systems, which can strain local water resources. This can lead to public health issues, especially in areas that already face water shortages. Companies use different methods to manage water use, but fresh water is still commonly used.
Key Facts
- AI data centers require large amounts of clean water to cool their systems.
- Increased demand for AI results in higher energy and water consumption.
- Generative AI, like ChatGPT, uses extensive computing resources, increasing water and energy needs.
- GPUs, used in AI, consume significant energy and generate heat, requiring cooling.
- AI is expected to increase global water use substantially by 2027.
- Some companies try using seawater or recycling for cooling, but most still use fresh water.
- Microsoft's and Google's data centers use significant water in water-stressed areas.
- Water scarcity near data centers can worsen public health problems by reducing sanitation.
