Hyperscale Data, Inc. (NYSE:GPUS), a diversified holding company ("Hyperscale Data" or the "Company"), today announced the launch of a $100 million Bitcoin treasury strategy as part of its transformation into a pure play artificial intelligence ("AI") data center and digital asset company. The initiative will be funded, in part, by proceeds from the sale of the Company's Montana data center assets, which were recently announced for sale, as well as by capital raised through its previously announced at-the-market equity program. In parallel, Hyperscale is accelerating the expansion of its flagship Michigan campus, where customer-installed NVIDIA graphics processing unit ("GPU") servers are enabling advanced AI and high-performance computing ("HPC") workloads.

Through its wholly owned subsidiary Sentinum, Inc., Hyperscale Data has mined Bitcoin for years, providing a foundation of operational expertise in digital assets. Building on this experience, the Company now plans to hold Bitcoin as a primary treasury reserve asset, similar to the approach pioneered by MicroStrategy, while continuing to invest in Michigan as its long-term infrastructure hub.

As part of its treasury program, Hyperscale Data will continue publishing its crypto asset holdings weekly, reinforcing its commitment to transparency and accountability.

The Michigan facility, owned by Alliance Cloud Services, LLC, a wholly owned subsidiary of the Company's wholly owned subsidiary Sentinum, Inc. ("Sentinum"), currently provides approximately 30 megawatts ("MW") of power capacity. The Company is advancing a staged build-out that is expected to reach 70 MW over the next 20 months through new natural gas distribution infrastructure enabling on-site generation. Ultimately, subject to reaching an agreement with the local utility provider, navigating unknown regulatory challenges and securing appropriate funding, Hyperscale Data anticipates the Michigan campus could expand to approximately 340 MW of capacity. The facility is being purpose-built to support enterprise AI and cloud clients deploying GPU-based infrastructure, with NVIDIA technology expected to remain a cornerstone of customer demand.

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