GridAI Technologies, an energy orchestration firm, has revealed that AI data center developer Amp Z was the previously unnamed hyperscale infrastructure company referenced in the firm’s non-binding Letter of Intent that it inked in November.

The agreement will see GridAI deploy its energy orchestration and optimization platform across Amp Z’s planned portfolio of AI data center campuses in North America. The developments are expected to total more than 5GW of capacity over the next five to ten years.

Under the proposed arrangement, GridAI will coordinate a range of onsite and grid-connected energy assets, including battery energy storage systems, distributed and on-site generation, renewable integration, and grid interconnection infrastructure. According to the company, the platform is designed to integrate these resources into a single operating system aimed at helping data centers secure power more quickly, improve reliability, and manage cost and carbon performance.

Amp Z is currently developing large-scale, powered campuses intended for hyperscale tenants running AI workloads. GridAI said its role across the campuses would generate recurring operating revenue linked to the performance and dispatch of energy resources deployed at the sites.

In February, Amp Z announced plans for a 2.1GW data center in East Texas. The firm says it is currently developing three sites with a combined power ramp of 3.8GW and “advancing diligence” on four additional sites representing another 4.7GW.

“Today’s announcement unveils the strategic relationship we first introduced last November,” said Marshall Chapin, CEO of GridAI. “Amp Z represents the type of AI infrastructure developer our orchestration platform was designed to support – one that views power strategy as central to modern data center development.”

“As AI demand accelerates, policymakers and grid operators increasingly expect hyperscale expansion to be paired with privately funded energy solutions that protect the average consumer,” he added. “GridAI provides the orchestration layer that allows these campuses to scale quickly while operating within the modern electric grid.”