Hyperscale Data, Inc. (NYSE American: GPUS), an artificial intelligence ("AI") data center company anchored by Bitcoin ("Hyperscale Data" or the "Company"), announced that it is accelerating the enhancement of its Michigan operations into a combined AI data center and robotics hub, following its recently executed agreement with AGIBOT PTE. LTD. ("AGIBOT"), a developer of intelligent robotics technology.

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 ("MW") of power capacity at the site, and the Company believes there is potential to expand to over 300 MW over time.

Building an Integrated AI and Robotics Platform

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.

Supporting Next-Generation AI Development

Hyperscale Data believes that the next phase of AI will increasingly depend on real-world data and physical system training in addition to traditional digital datasets.

The Michigan campus is being developed to support:

• Machine-generated data from robotics operating in real environments;
• Human (egocentric) data capture for contextual learning;
• Testing and validation of robotic systems; and
• Training workflows for advanced AI models.

Workforce Expansion and Regional Impact

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.

The Company expects to pursue opportunities to support frontier AI developers, those advancing large-scale models and next-generation robotics systems, and high-performance computing platforms as demand for these capabilities evolves.

Investor Webcast

Hyperscale Data invites investors and the public to join its previously announced Tuesday webcast, where management will provide additional details on the Michigan enhancement, robotics strategy, and AI infrastructure plans. To register for the webcast, please visit here.

The webcast will feature:

• William B. Horne, Chief Executive Officer; and
• Milton "Todd" Ault III, Executive Chairman.

Executive Commentary

William B. Horne, Chief Executive Officer of Hyperscale Data, stated:

"We are enhancing our Michigan operations into a scaled AI and robotics platform that supports both high-performance compute and real-world data generation. This next phase of development positions us to support evolving AI workloads while creating high-quality jobs in the region."

Milton "Todd" Ault III, Executive Chairman of Hyperscale Data, added:

"This initiative builds on our existing infrastructure and expands it into a more comprehensive AI ecosystem. By combining compute, robotics, and data generation in a single environment, we are developing infrastructure aligned with where artificial intelligence is heading."