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@thwnqyyn_: ve day e thuong aa… id:@Kai #playtogether #fyp #trending #viral #tiktok @fahn6u yue

uahn6uㅤ oeyf
uahn6uㅤ oeyf
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Saturday 25 July 2026 11:15:12 GMT
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Lăn khử mùi Dove #hợptáccùngunilever
Lăn khử mùi Dove #hợptáccùngunilever
AI is Thirsty: The Hidden Water Cost of ChatGPT AI servers (especially large data centers) consume water heavily, not by
AI is Thirsty: The Hidden Water Cost of ChatGPT AI servers (especially large data centers) consume water heavily, not by "drinking" it directly, but through their cooling systems. This is because the GPUs and CPUs performing AI operations overheat, and water plays a critical role in controlling this heat. ​Primary usage methods: ​Cooling towers: The heat generated by the servers is expelled via water-based cooling systems. During this process, a portion of the water evaporates, meaning it cannot be recovered. ​Chiller systems: Water circulates in a closed loop to cool the equipment. However, for efficiency, there is still water loss in the external systems. ​Indirect consumption: Electricity generation also consumes water. Therefore, as the energy consumed by the data center increases, indirect water consumption rises as well. ​Cleaning and maintenance: Water is also used for the cleaning of server equipment and filters. ​For instance, it is known that during the training of large AI models, a single data center can consume millions of liters of water. This is why companies like Google and Microsoft are now attempting to build their data centers in cooler regions or working to develop better air and liquid cooling optimizations. ​In short: The more AI grows, the more water is spent in the background to keep it cool. ​#ai #datacenter #technology

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