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The entire structure can be lifted by a crane or helicopter and is transported from one location to another on a boat trailer.
Water footprint must be addressed as a priority as part of the collective efforts to combat global water challenges.a typical user’s interaction with ChatGPT is equivalent to emptying a sizable bottle of fresh water onto the ground.
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.A good part of our staff swears by Microsofts Natural Ergonomic keyboard.
but to give you a brief outlook on what we observed and what caught our attention during the show.Also in the AMD briefing room.
They have taken the display to market themselves under their own brand and most impressively.but I would say it looks compelling enough to take a closer look when it ships in March.
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