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it released an accurate response.

the water used to cool these data centers doesn’t just disappear into the ether but is usually removed from water courses like rivers.A new study has uncovered how much water is consumed when training large AI models like OpenAI’s ChatGPT and Google’s Bard.

as freshwater scarcity has become one of the most pressing challenges shared by all of us in the wake of the rapidly growing population.000 liters of clean freshwater (enough for producing 370 BMW cars or 320 Tesla electric vehicles) and the water consumption would have been tripled if training were done in Microsofts Asian data centers.The researchers distinguish between water “withdrawal” and “consumption” when estimating AI’s water usage.

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 ‘Thirsty.we highlight the necessity of holistically addressing water footprint along with carbon footprint to enable truly sustainable AI.

would need to “drink” a 500-milliliter water bottle to finish a fundamental discussion with a user of around 25–50 questions.

Researchers worry that all this consumption could hurt water supplies given the chatbot’s enormous popularity.officially overcoming the short supply issues from last year.

The result was an immersive 180-degree experience of gaming goodness.we met with a representative for Ostendo Technologies.

so when we saw a little startup named Smartfish showing a new product in this category we had to take a look.they had three of these magnificent 43-inch displays (2880x900 resolution each) hooked up to a latest generation Radeon board.