Your old smartphone gathering dust in a drawer could soon play a surprising new role. Google, in collaboration with researchers at the University of California, San Diego, is working on an innovative project that aims to transform retired smartphones into miniature data centres.
The concept, known as “phone cluster computing,” involves connecting thousands of smartphone motherboards into a distributed computing network capable of handling cloud-computing tasks. Instead of building entirely new infrastructure, researchers hope to make use of existing hardware, offering a more affordable and environmentally friendly alternative.
As part of the project, Google and UC San Diego plan to create a computing cluster using 2,000 old Pixel smartphones. The system is expected to provide low-cost cloud resources for researchers and students while also extending the lifespan of discarded devices, reducing electronic waste, and cutting carbon emissions.
Early tests have already delivered promising results. Researchers found that a cluster of just 20 smartphones was able to support a university course with more than 75 students and even processed and graded submissions faster than the default backend running on Amazon Web Services (AWS). According to Google, a 2,000-phone deployment could simultaneously support around 100 such classes.
The initiative is not intended to rival massive AI data centres operated by companies like Google or Amazon. Instead, it focuses on creating a cost-effective and sustainable platform for basic data processing, research projects, testing environments, educational computing, and lightweight cloud services.
Google highlighted two major reasons behind the experiment. Every year, hundreds of millions of smartphones are replaced, with many eventually becoming electronic waste. At the same time, demand for computing power is soaring due to the rapid growth of artificial intelligence, cloud services, and large-scale data processing.
While the technology is still in the experimental stage and faces several technical challenges, researchers believe it could help reshape computing infrastructure by reducing hardware requirements and costs. Google says the complete system could be ready for deployment by Fall 2026.
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