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a geophysicist at the National Cheng Kung University in Taiwan.

a typical user’s interaction with ChatGPT is equivalent to emptying a sizable bottle of fresh water onto the ground.A new study has uncovered how much water is consumed when training large AI models like OpenAI’s ChatGPT and Google’s Bard.

The scientists also hold the data centers responsible for “off-site indirect water consumption.Water footprint must be addressed as a priority as part of the collective efforts to combat global water challenges.The researchers distinguish between water “withdrawal” and “consumption” when estimating AI’s water usage.

The enormous volume of water required to train the AI model also presupposes that the training occurs at Microsoft’s cutting-edge US data center.Researchers worry that all this consumption could hurt water supplies given the chatbot’s enormous popularity.

the water used to cool these data centers doesn’t just disappear into the ether but is usually removed from water courses like rivers.

we highlight the necessity of holistically addressing water footprint along with carbon footprint to enable truly sustainable AI.AMD was showcasing different scenarios where GPU features were being used.

A good part of our staff swears by Microsofts Natural Ergonomic keyboard.Last week they announced they had shipped its two millionth DirectX 11-capable GPU.

with the top of the line Mobility Radeon HD 5870 expected to perform at the level of a desktop 5700 series card.The latest version of XGP can support three external displays when used with DisplayPort monitors.