Insider Brief
- Hyperscale Data said its subsidiary, Omnipresent Robotics, has begun production of the first 30 humanoid robots planned for deployment at its Michigan AI data center campus, part of a broader rollout of 143 robots.
- The initial robots will be assigned to its Model Training Laboratory, where they will support data collection, model training, simulation validation, facility operations and research related to embodied AI systems.
- Hyperscale Data is developing a 100,000-square-foot Robotics Research, Testing and Innovation Center at the site and plans to use the robots alongside Nvidia-based computing infrastructure to generate real-world training data for robotics, vision-language-action models and other physical AI applications.
Hyperscale Data announced its robotics subsidiary, Omnipresent Robotics, has begun production of the first 30 humanoid robots planned for deployment at the company’s Michigan AI data center campus.
According to Hyperscale Data, the initial robots are part of the first phase of deployment of 143 OPR-R2 humanoid robots that the company intends to operate across its Michigan facility. The components for the first units are expected to arrive in the third quarter of 2026, with assembly taking place at the site.
The robots will initially be assigned to Omnipresent Robotics’ Model Training Laboratory, where they will work alongside AI infrastructure and data center personnel. The company said the robots will be used for data collection, model training, simulation validation, facility operations and research.
“We believe that physical AI is an incredibly important aspect in the future of artificial intelligence,” executive chairman Milton “Todd” Ault III noted. “While today’s leading AI models excel at reasoning, language, and content generation, tomorrow’s AI systems must be capable of understanding and interacting with the physical world. Our Michigan Campus is being developed to help bridge that gap by creating a large-scale environment where humanoid robots and advanced AI models can continuously learn, train, and improve.”
Hyperscale Data is developing a 100,000-square-foot Robotics Research, Testing and Innovation Center at the Michigan campus as part of a broader effort to combine AI computing infrastructure with robotics development.
The facility is expected to use Nvidia-based computing infrastructure for simulation, training and inference workloads. Hyperscale Data said it believes combining AI infrastructure, robotics systems and real-world operational data in a single location will support development of next-generation embodied AI applications.
