Insider Brief
- Hyperscale Data said it is upgrading its Michigan site into a combined AI data center and robotics facility following an agreement with robotics developer Agibot, as it expands into AI infrastructure and physical systems.
- The company is reconfiguring its 34.5-acre campus to support high-performance computing, robotics assembly and testing, and data generation, with current capacity of about 30 megawatts and plans to scale beyond 300 megawatts over time.
- Hyperscale Data will dedicate more than 100,000 square feet to AI and robotics operations and hire more than 500 employees over the next three years, reflecting demand for real-world data and integrated compute environments to train and validate AI systems.
Hyperscale Data said it is upgrading its Michigan site into a combined AI data center and robotics facility, following a recent agreement with Chinese robotics developer Agibot.
The company said it is reconfiguring parts of its 34.5-acre campus to support high-performance computing, robotics assembly and testing, and data generation. The site currently has about 30 megawatts of power capacity, with plans to expand to more than 300 megawatts over time.
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,” CEO William B. Horne said in the announcement. “This next phase of development positions us to support evolving AI workloads while creating high-quality jobs in the region.”
Hyperscale Data said it will initially allocate more than 100,000 square feet within its existing facility for AI and robotics operations, including building environments for testing robotic systems and generating real-world data for model training and validation.
The company said it expects to hire more than 500 employees over the next three years to support the expansion, with roles spanning robotics engineering, AI data operations and infrastructure.
The project reflects growing demand for combining computing infrastructure with physical systems to support AI development, particularly as companies seek more real-world data to train and validate models, according to Hyperscale Data.