Google looks to electronic waste as cost-effective AI server solution
Every year, billions of phones are discarded globally, many of them with perfectly usable processors. At the same time, the tech industry is preparing to spend billions on new AI computing hardware, at high environmental costs. Google, in collaboration with researchers at the University of California, San Diego, is developing a way to bridge those two realities by building a server from recovered phone processors, tackling a waste problem while providing low-carbon computing.
The idea is called phone cluster computing. Instead of treating old smartphones as dead consumer gadgets, the researchers strip them down to the parts that still matter for computing: the motherboard, which contains the processor, memory, and storage. The display, battery, chassis, cameras, and other phone-specific parts are removed. The boards are then collected into clusters and redeployed as a general-purpose computing platform. Google and UC San Diego are putting the theory to the test with a...
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