- Hyperscale Data (GPUS, Financial) plans to expand its Michigan AI data center campus to 340 MW by 2029.
- The company currently operates at 30 MW, aiming to reach 70 MW within the next 20 months.
- A $125 million shelf registration has been filed to support expansion with no immediate capital raising plans.
Hyperscale Data (GPUS) has announced an ambitious expansion of its AI data center campus in Michigan, targeting a full buildout capacity of 340 megawatts (MW) by 2029. Currently operating at 30 MW, the company plans to incrementally increase its capacity to 70 MW over the next 20 months.
To facilitate this massive expansion, Hyperscale Data has filed a $125 million shelf registration. This filing is intended to provide the company with financial flexibility to access capital markets as needed during the construction phase, though there are no immediate plans to raise capital.
The 34-acre facility in Michigan currently generates revenue through digital asset mining and offers colocation services for AI ecosystems. Preliminary agreements with local utilities have been reached to boost the available power, with 300 MW from electric sources and an additional 40 MW from natural gas.
CEO William B. Horne emphasized that this strategic development is aimed at positioning the company to meet growing demand for AI-centric infrastructure, as computing power requirements continue to rise.
