Hyperscale Data Sets $750 Million Valuation Threshold for Michigan AI Data Center Sale

Hyperscale Data Sets Valuation Threshold for AI Infrastructure Asset

Hyperscale Data (NYSE: GPUS) announced it would only consider selling its Michigan AI data center campus at a minimum valuation of $750 million, with management estimating the facility could be worth between $750 million and $1.25 billion1

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. The valuation threshold comes as the company evaluates strategic options for its Michigan campus, including a potential sale, an IPO for its Sentinum subsidiary, or continued development of the AI infrastructure asset.

The assessment draws on the facility's executed master services agreement, existing infrastructure, power access, expansion potential, and public-market valuations within the AI infrastructure industry3

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. However, the company emphasized this valuation range represents management's estimate and does not reflect an independent appraisal or fairness opinion1

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$70 Million Investment Positions Facility for Operations

Hyperscale Data has invested more than $70 million into the Michigan AI data center as of Monday, representing a portion of the capital required to prepare the facility for AI compute capacity deployment2

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. The company has acquired equipment necessary to bring the contracted capacity online and is working toward commencing operations in November 2026, when it expects to begin generating revenue and cash flow2

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"Our investment of more than $70 million in ACS and the Michigan campus is about execution," stated Will Horne, Chief Executive Officer of Hyperscale Data2

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. The facility is operated by Alliance Cloud Services, an indirect wholly owned subsidiary of Hyperscale Data2

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Master Services Agreement Projects $3 Billion in Long-Term Revenue

Alliance Cloud Services recently signed a master services agreement with a California-based neocloud provider covering an initial 20 megawatts of AI compute capacity1

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. The agreement has a 10-year initial term with two five-year extension options. If both extensions are exercised, the initial 20 MW deployment is expected to generate more than $1.2 billion in aggregate revenue over the 20-year period2

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The customer also has rights to increase AI compute capacity by an additional 32 MW. If this expansion is exercised within two years and maintained through both extension terms, the full 52 MW deployment could generate more than $3 billion in total contract revenue1

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. A 52 megawatt deployment would represent less than 20% of the Michigan facility's approximately 340 megawatt total potential capacity2

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Expansion Potential Signals Future Growth Opportunities

The Michigan AI data center could ultimately support more than 300 MW of capacity, positioning it to monetize AI infrastructure at scale1

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. Following a full 52 megawatt deployment, approximately 270 megawatts of potential additional capacity would remain for future development2

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. However, further expansion depends on obtaining required power, infrastructure, financing, regulatory approvals, utility agreements, and customer demand1

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Watch for how Hyperscale Data navigates its strategic execution in the competitive AI infrastructure market. The company's ability to secure additional customer deployments or strategic partnerships could significantly impact whether it pursues a sale, continued development, or an IPO. The neocloud provider relationship and the facility's massive expansion headroom suggest substantial long-term revenue potential, but realizing that value hinges on market conditions, financing availability, and the company's operational track record once the facility goes live in November 2026. GPUS shares were down 1.13% at $0.18 at the time of publication on Monday1

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