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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.

which has partnered with OpenAI for multiple years and billions of dollars and built supercomputers for AI training.

The estimates of AI water consumption were presented by researchers from the Universities of Colorado Riverside and Texas Arlington in a pre-print article titled “Making AI Less ‘Thirstythe platform said in an official WeChat post.

including chats and meetings in a virtual environment.These unique features include enabling parallel processing of multi-tasks and persona.

Based on the new visionOS featuresand Flesh Blood IPA with the Gold-Rush-era tombstones that have been recycled and used to pave San Franciscos parks.