Sunrun wants to turn thousands of solar-powered homes into a giant distributed AI data center – and pay homeowners to help power the AI boom.
The residential solar and storage company today launched a pilot program that installs AI compute nodes – that’s a server in a distributed system like the one pictured above – in homes equipped with Sunrun solar panels and battery storage. Homeowners who participate in the pilot will be paid for hosting the hardware, and Sunrun will sell the computing capacity to enterprise customers.
It sees Sunrun expanding beyond home renewable energy and virtual power plants into AI infrastructure. Instead of building big data centers, the company wants to use its network of more than 1.1 million existing customers to process AI inference workloads.
Inference is the stage where trained AI models generate responses to users. Unlike AI training, which requires massive data centers packed with graphics processing units (GPUs), inference workloads can often be spread across many smaller locations and benefit from being closer to end users, reducing latency.
Sunrun says it has already completed a proof of concept that demonstrated both customer demand and the ability to generate revenue. The company is now expanding testing by deploying compute nodes in participating homes under different operating conditions and electricity rate structures to evaluate performance and homeowner experience.
The pilot comes as AI companies race to secure enough electricity and computing capacity. Building new data centers can take years because of permitting, construction, and utility interconnection delays. Sunrun believes its existing fleet of solar- and storage-equipped homes could provide far faster computing capacity than AI data centers.
The company says its model offers several potential advantages over traditional data centers. Because the compute nodes sit behind customers’ electric meters and are paired with home batteries, they can continue operating during some power outages while reducing pressure on already-congested parts of the electric grid. Sunrun also says its existing service network could support large-scale deployment without building entirely new infrastructure.
Participating homeowners will be compensated for hosting the equipment, creating what Sunrun hopes will become another revenue stream for customers alongside savings from rooftop solar, battery storage, and virtual power plant programs.
The AI pilot is separate from Sunrun’s recently announced partnership with Renew Home and Tesla to aggregate more than 16 gigawatts (GW) of flexible home energy capacity for utilities and hyperscalers. Together, the initiatives show how companies are increasingly looking to residential energy systems as part of the solution to AI’s rapidly growing electricity demand.
Sunrun plans to run the pilot over the next few months before deciding whether to expand the program. The company says it’s already in discussions with enterprise compute customers, utilities, and homebuilders about what a larger rollout could look like.
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