GPUS · Hyperscale Data, Inc.

This filing discloses a foundational strategic shift for Hyperscale Data, Inc. — moving beyond its legacy digital infrastructure business (Bitcoin mining, HPC, and hosting) into embodied AI and robotics data infrastructure. The core event is the execution of a material agreement between its subsidiary Omnipresent Robotics and AGIBOT PTE. LTD, positioning Hyperscale at the intersection of physical AI training data scarcity and scalable U.S.-based collection capacity. The partnership is not merely a distribution or reseller arrangement: it includes joint deployment, commercialization, and explicit intent to purchase AGIBOT G2 industrial-grade robots — a platform with 26 degrees of freedom, force-control precision, and human-like interaction features — for dedicated use in teleoperated data generation. Critically, the Company leverages its existing 617,000-square-foot Michigan facility — with 30 MW of energized power, multi-carrier fiber, and physical security — to host robotics bays, simulation zones, edge compute integration, and model validation environments. This vertical integration (data collection → local compute → model improvement demonstration) directly addresses a structural market gap: publicly available robotics datasets total only thousands of hours, while commercial-grade embodied AI models require millions. Management explicitly frames this as a revenue diversification initiative, outlining seven distinct monetization pathways — from raw data sales to robotics hardware distribution — and quantifies near-term job creation (500+ roles) and dataset targets (100,000 hours). While forward-looking statements dominate the disclosure and no financial metrics or binding commitments are provided, the scale of infrastructure repurposing, geographic exclusivity, and alignment with trillion-dollar market forecasts (Morgan Stanley, Goldman Sachs) elevate this beyond routine investor outreach to a material strategic pivot with long-term implications for revenue composition, capital allocation, and competitive positioning in AI infrastructure.