Hyperscale Data accelerates Michigan operations for AI data center, robotics hub

Hyperscale Data (GPUS) is accelerating the enhancement of its Michigan operations into a combined AI data center and robotics hub, following its recently executed agreement with AGIBOT. The Company is advancing the reconfiguration of key sections of its existing building on its 34.5-acre campus to support AI infrastructure, robotics deployment, and large-scale data generation. Hyperscale Data currently operates approximately 30 megawatts of power capacity at the site, and the Company believes there is potential to expand to over 300 MW over time. Hyperscale Data is enhancing its Michigan operations to combine high-performance computing infrastructure with robotics capabilities. Sections of the existing building are being re-imagined to support robotics assembly, testing, and deployment alongside AI model training and validation. As part of this initiative, the Company is initially dedicating more than 100,000 square feet within its existing 617,000 square foot facility to AI and robotics operations. Within this footprint, the Company plans to: Develop robotics assembly and testing capabilities; Build real-world environments for data collection and system validation; and Integrate compute infrastructure with robotics-driven data generation. Data generated through these activities is expected to be commercialized and utilized within U.S. markets, supporting domestic AI development and deployment. The Michigan campus is being developed to support: Machine-generated data from robotics operating in real environments; Human data capture for contextual learning; Testing and validation of robotic systems; and Training workflows for advanced AI models. Hyperscale Data expects to hire more than 500 employees over the next three years to support its Michigan operations. Anticipated roles include robotics engineers, AI data specialists, infrastructure personnel, and operations staff.