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Google and UCSD Repurpose Discarded Pixel Smartphones for Data Center Clusters

Lena Fischer 2 min read

Google and UCSD collaborate to repurpose discarded Pixel smartphones into sustainable cloud computing clusters, reducing data center carbon footprints.

Google and UCSD Repurpose Discarded Pixel Smartphones for Data Center Clusters
PC HARDWARE

Google and the University of California San Diego have joined forces to turn discarded Pixel smartphones into functional cloud computing hardware. This research initiative seeks to reduce the embodied carbon footprint of data centers by reusing existing smartphone motherboards. The project replaces the need to manufacture new server components, offering a sustainable alternative for IT infrastructure.

University of California San Diego team transforms old devices into low-carbon compute nodes

The team developed a physical cluster that integrates 25 to 50 smartphone motherboards managed through Kubernetes. They removed the Android operating system and installed a custom distribution to handle server tasks. This configuration allows the devices to function as standard compute nodes within a larger network.

Performance tests demonstrate that a setup with 20 boards can manage more than 75 student lecture requests with low latency. The researchers project that a final system comprising 2,000 boards will match the capacity of approximately 50 traditional servers. This scaling capability highlights the potential for high-density, low-power computing using repurposed mobile hardware.

We looked at sustainable tech initiatives earlier while tracking Google's hardware strategies. The collaboration between UCSD and Google represents a practical step toward reducing electronic waste in the data center sector. This approach validates the technical viability of using consumer smartphones for enterprise-level workloads.

The project confirms that discarded Pixel smartphones can effectively serve as compute nodes in a Kubernetes-managed cluster. The system achieves server-class capacity by scaling to 2,000 units while maintaining low latency for user requests. This reuse model offers a concrete path for lowering the environmental impact of cloud computing infrastructure.

Source: NotebookCheck