Tech's carbon footprint: can AI revolutionise responsibly?

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AI's growing role in computing, deployment, and the need for powerful processors like GPUs, raises demands greater energy efficiency.

The biggest cloud companies insist that they are committed to being as energy efficient as possible [Photo: AFP]

"Pandora's box is open," said Arun Iyengar, CEO of Untether AI, a highly specialised chip-making company that strives to make AI more energy efficient. A more recent study by Google and the University of California, Berkeley, reported that training GPT- 3 resulted in 552 metric tons of carbon emissions, equivalent to driving a passenger vehicle 1.24 million miles .

Deployment doesn't necessarily need the computing heft of a Nvidia chip, but taken cumulatively, the endless interactions in the real world far outweigh training in terms of workload. AI's superpowers will turn your laptop, car or the device in your pocket into an energy-efficient supercomputer without the need to"retrie ve" data from the cloud.

 

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