Sunrun, a provider of home battery storage, solar, and home-to-grid power plants, has launched a distributed AI compute pilot program, marking the company’s first foray into distributed edge computing.
Sunrun believes distributed edge computing represents a “high margin revenue opportunity” in which it can leverage its existing energy infrastructure, customer base, and grid service capabilities. Following a proof of concept, Sunrun is expanding the pilot to place numerous compute nodes in homes equipped with Sunrun solar and battery storage systems.
Sunrun is coordinating the selling of inference capacity to enterprise compute buyers, while also testing the nodes under a variety of conditions and rate structures to gather operational data and information. Participating homeowners are compensated for hosting the compute nodes.
“AI companies are scrambling to secure greater access to energy and computing power,” said Sunrun President and Chief Revenue Officer Paul Dickson. “Over nearly two decades, we have perfected our ability to operationalize, finance, and scale distributed assets. We are now using our leadership position in distributed home energy and proven infrastructure to bring compute closer to the sources of energy and inference.”
AI inference demand is growing at approximately 35% annually and is projected by McKinsey to surpass training as the dominant AI workload by 2030, representing more than half of all AI compute. Unlike AI training — which requires massive, tightly synchronized clusters — inference is modular, geographically distributable, and highly sensitive to latency. That makes it a “natural fit” for edge deployment close to end users, Sunrun argues.
Just as Sunrun has helped democratize energy by enabling households to generate, store, and share their own power, this distributed data center model enables American households to play a direct role in powering the nation’s AI future and share in the economic opportunity it creates. For hyperscalers, it provides a flexible, scalable source of compute capacity that complements centralized data centers and accelerates AI deployment.
Sunrun expects to complete the pilot over the coming months and will assess results against defined milestones, compute performance, and homeowner experience before determining the scale, speed, and customer offering of a broader rollout. The company is in discussions with enterprise compute offtakers, homebuilders, and utility partners to structure the commercial and deployment frameworks that would support expansion.
Sunrun’s distributed compute pilot is a distinct and separate initiative, but the company says it complements its recently announced agreement with Renew Home and Tesla to aggregate more than 16 gigawatts of flexible home energy capacity for hyperscalers and utilities. Sunrun argues that compute capacity deployed onsite at customer homes can serve the same surging AI demand that is driving hyperscalers to seek new energy capacity.
16 GW of flexible capacity?
Sunrun, Renew Home, and Tesla recently announced an agreement to deliver more than 16 gigawatts of flexible energy capacity to hyperscalers and utilities. The agreement establishes a framework to aggregate millions of existing demand-side and energy-exporting devices in states across the country into local, turnkey solutions that require no additional hardware, software, interconnection, water, or land usage for offtaking parties.
Deployable in “months, not years,” Sunrun argues this capacity-as-a-solution framework creates headroom on the existing grid by freeing up transmission capacity, easing congestion on distribution infrastructure, and extending the duration and depth of available capacity.
Together, the companies would form the largest distributed power plant in the country, which could add net new electrons onto the grid from home batteries paired with solar generation while also shifting household load during peak demand hours. The combined 16-gigawatt resource could draw dispatchable capacity from hundreds of thousands of home battery systems operated by Sunrun and Tesla, alongside flexible peak capacity from more than 8 million smart thermostats and devices managed by Renew Home.
“The grid of the 1800s cannot power the innovation of 2026,” said Sunrun CEO Mary Powell. “Americans deserve innovation that does not create unnecessary energy costs. When data centers are asked to throttle down operations during the most expensive and stressful hours of the day, we can activate our distributed power plants to help provide them the power they need while also protecting American families from footing the bill for costly new infrastructure.”
In Virginia, the data center “capital” of the world, the companies already have more than 300 MW of capacity available for deployment. By 2030, that figure is expected to grow to at least 500 MW.
Together, the companies have also committed to provide capacity to PJM’s proposed Reliability Backstop Process. If accepted, PJM could unlock over a gigawatt of capacity, with more deployable in the years ahead for peak shaving, locational grid relief, and fast-responding ancillary services.
“The stakes are clear. America’s grid faces mounting pressure from data centers, electrification, and manufacturing growth that no single infrastructure solution can solve fast enough,” said Colby Hastings, Senior Director of Residential Energy at Tesla. “Sunrun, Renew Home, and Tesla believe that a huge piece of the answer is already in place — in the batteries, thermostats, and electric vehicles inside millions of American homes, waiting to be put to work.”