Las Vegas-based Hyperscale Data Inc., an artificial intelligence data center company anchored by Bitcoin, has announced it has completed the previously announced acquisition of 48.5 acres of forested land to expand its Michigan AI Data Center to approximately 83 acres in total.
The acquisition, the cost of which was not provided, more than doubles the size of the Michigan Campus. The data center is located in Dowagiac in the southwest part of the state.
“We are thrilled to complete this acquisition and look forward to growing the Michigan Campus in an efficient and responsible manner,” says Milton “Todd” Ault III, executive chairman of Hyperscale Data. “The acquisition will provide us with the opportunity to solidify our Michigan Campus and provides a natural, long-term buffer between our operations and the surrounding area.
“With the recently announced signed master services agreement, this provides us the ability to build on the immense progress we have made over the years as we evaluate our overall expansion plans while we seek to maximize the service offerings available to potential customers at our Michigan Campus.”
Most recently, in May, Hyperscale Data announced it was accelerating the enhancement of its Michigan operations into a combined AI data center and robotics hub.
The announcement followed Hyperscale’s recently executed agreement with AGIBOT, a developer of intelligent robotics technology.
Hyperscale is advancing the reconfiguration of key sections of its existing building to support AI infrastructure, robotics deployment, and large-scale data generation.
As part of the 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 the activities is expected to be commercialized and utilized within U.S. markets, supporting domestic AI development and deployment.
“We have seen this movie before. America invents something big. Then the most important aspect is lost and recaptured elsewhere,” says Ault. “The American factory is shut down. The supply chain disappears. The practical know-how goes with it. At Hyperscale Data, we are not interested in repeating that story with respect to robotics.
“We are building in Michigan because Michigan still has industrial muscle memory. We are developing a campus where robots can be trained to perform real jobs, tested until the weak points show themselves, assembled here, and sent back into the field with software that actually fits the work. That will create engineers, technicians, operators, manufacturing jobs, and a place where people learn by doing instead of talking.”
Hyperscale believes 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.
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.
For more information, visit hyperscaledata.com.
