UK Firm CPG to Install 50,000 Solar‑Powered AI Lampposts in Nigeria
Conflow Power Group signs deal to install 50,000 solar‑powered AI lampposts in Katsina, Nigeria, earning a 20% revenue share after three years.

An iLamp, looking up at the light-emitting surface of the streetlight, with clouds and trees seen beyond
*TL;DR: UK‑based Conflow Power Group (CPG) has signed a deal to roll out 50,000 solar‑powered AI lampposts in Nigeria, earning a 20% revenue share after three years.
Context
CPG, a Warwickshire company, is pioneering a distributed data‑centre model that embeds low‑power AI chips inside streetlights. The approach follows earlier experiments by tech giants to locate computing hardware in unconventional sites, such as underwater or orbital platforms. Nigeria’s Katsina state, with abundant sunshine and supportive regulations, offers a testing ground for the technology.
Key Facts
- The agreement covers 50,000 iLamp units, each equipped with a cylindrical solar panel, battery storage, and an NVIDIA chip that consumes only 15 watts of power. The low‑energy demand allows the chip to run entirely on solar energy inside the lamppost. - CPG will receive a 20% share of the revenue generated by the iLamp network after the system has operated for three years. Katsina will lease processing capacity to AI firms, creating a new income stream for the state. - The lampposts also host AI‑enabled cameras that can detect parking violations, speeding, seatbelt non‑compliance, and, with facial‑recognition software, locate missing or wanted individuals. CPG says deployments will comply with local laws and be limited to authorized partners. - Manufacturing will be split across Morocco, Taiwan and Latvia, with an assembly plant under construction in Katsina. The project aims to demonstrate a scalable, low‑cost alternative for edge AI workloads—tasks that run close to end users rather than in massive central data centres. - Experts note that while the iLamps cannot replace high‑performance data centres needed for training large language models, they can supplement them by handling smaller AI applications and acting as local access points.
What It Means
The deployment could create Africa’s first distributed AI data centre, offering a renewable‑energy‑based platform for real‑time analytics and public‑service monitoring. If the revenue‑sharing model proves profitable, other sun‑rich regions may adopt similar schemes, expanding the market for edge AI infrastructure. Watch for the first operational batch and any regulatory responses to the surveillance capabilities embedded in the lampposts.
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