Researchers backed by Google are exploring whether thousands of retired smartphones can be repurposed into low-cost, energy-efficient computing clusters to help meet growing demand for data-centre capacity.
A new research project backed by Google and researchers at the University of California, San Diego, is exploring the possibility of using abandoned old devices as the foundation for low-cost data centres.
The research suggests that, instead of recycling old phones for parts or sending them to landfills, thousands of retired smartphones could be linked together and transformed into a functioning computing cluster.
As AI adoption continues to grow, analysts expect data centres to consume substantially more electricity in the years ahead.
If successful, future data centres may rely not only on purpose-built servers but also on millions of retired smartphones that would otherwise sit unused in drawers or end up in landfills.
Researchers backed by Google are exploring whether thousands of retired smartphones can be repurposed into low-cost, energy-efficient computing clusters to help meet growing demand for data-centre capacity.
A new research project backed by Google and researchers at the University of California, San Diego, is exploring the possibility of using abandoned old devices as the foundation for low-cost data centres. The research suggests that, instead of recycling old phones for parts or sending them to landfills, thousands of retired smartphones could be linked together and transformed into a functioning computing cluster.
The approach could help address the ever-growing demand for computing power while finding a second use for old phones that often remain functional long after their owners stop using them.
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The concept involves removing motherboards from discarded smartphones and connecting them to form a distributed computing network. Rather than relying solely on newly manufactured servers, the system would use existing phone hardware to handle workloads that do not require the latest high-performance processors.
Researchers emphasize that the goal is not to replace the massive AI infrastructure operated by tech giants such as Google, Microsoft, and Amazon. Instead, the project aims to provide a lower-cost, more sustainable computing alternative for tasks where maximum processing power is unnecessary.
The team reportedly plans to build a computing cluster consisting of roughly 2,000 smartphones, which could be used to support university research projects and computer science education programs.
Beyond reducing costs, the approach could also offer environmental benefits. Producing new computing hardware requires significant amounts of energy, water, and raw materials. Extending the lifespan of existing smartphones could help curb electronic waste while reducing the carbon footprint associated with building new data-centre infrastructure.
The research comes at a time when technology companies are facing increasing scrutiny over the energy demands of AI. As AI adoption continues to grow, analysts expect data centres to consume substantially more electricity in the years ahead.
While several technical challenges remain—including managing thousands of devices simultaneously and adapting smartphones for continuous server-like operation—the researchers believe the concept has promise. If successful, future data centres may rely not only on purpose-built servers but also on millions of retired smartphones that would otherwise sit unused in drawers or end up in landfills.
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