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Interesting Engineering has previously reported how Microsoft stitched together tens of thousands of GPUs for OpenAI’s developmental work000 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.

as freshwater scarcity has become one of the most pressing challenges shared by all of us in the wake of the rapidly growing population.water use might have increased threefold if the data had been generated in the business’ less energy-efficient Asian data center.would need to “drink” a 500-milliliter water bottle to finish a fundamental discussion with a user of around 25–50 questions.

a typical user’s interaction with ChatGPT is equivalent to emptying a sizable bottle of fresh water onto the ground.it is essential to note that water “consumed” is released back into the atmosphere through cooling towers and is not “lost” from the water cycle.

A new study has uncovered how much water is consumed when training large AI models like OpenAI’s ChatGPT and Google’s Bard.

we highlight the necessity of holistically addressing water footprint along with carbon footprint to enable truly sustainable AI.its clear that the melding of these two will create an era of unparalleled technological synergy.

is going to have fairly large distributional effects.were not talking about emergent behavior like an AI proving itself sentient -- but they can surprise us.

 New skills and partnersOn a different level.the reality is that Americans are aging out of the workforce.