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Paul Prescott Just Put Hyperscale Data, Inc. (NYSE: GPUS) On Today’s Early Watchlist—Thursday, June 25, 2026
Don’t Miss Our Next Update—Get Real-Time Alerts Sent Directly To Your Phone. Up To 10X Faster Than Email. Check Out GPUS Before Tomorrow Morning… June 25, 2026 Dear Reader, There is a moment in every infrastructure buildout when the narrative shifts from speculation to execution. For Hyperscale Data, Inc. (NYSE American: GPUS), that moment arrived this week. 
On June 24, 2026, Hyperscale Data announced that its subsidiary Alliance Cloud Services, LLC has signed a Master Services Agreement with a California-based neocloud provider to deliver 20 megawatts of critical AI compute capacity at its Michigan data center campus. The agreement carries an initial 10-year term with two five-year extension options — and if fully exercised, is expected to generate in excess of $1.2B in revenue. If the customer exercises an option to expand to 52 MW, total potential contract value climbs to over $3B. The deal is not a letter of intent. It is not advanced negotiations. The MSA is signed. Services are expected to begin generating material, high-margin revenue as soon as late September 2026 — and the company is already procuring key equipment and retrofitting approximately 60,000 square feet at its Michigan campus to support the initial deployment at an estimated cost of $100M–$120M. The announcement adds urgency to Hyperscale Data’s broader transformation. Management has stated the company will likely cease all B-T-C mining operations at the Michigan campus as AI services come online, redirecting available power to higher-margin colocation — and the newly signed MSA gives that transition a defined customer and a clear deployment timeline. The broader market context matters here. Analysts have characterized the migration of B-T-C miners into AI data center operators as the “power landlords of AI” theme — pointing to the structural advantage that operators with existing power and cooling infrastructure hold as AI compute demand outpaces supply. GPUS now fits squarely within that theme, backed by a signed customer agreement and a near-term service launch timeline. The company also reported full-year 2026 revenue guidance of $180M to $200M — representing year-over-year growth of approximately 80% to 100% vs. preliminary 2025 revenue of around $100M. Q1 2026 revenue came in at approximately $44M, up 76% year-over-year. Additionally, the company holds approximately 726.9 B-T-C valued at approx. $45.9M, plus roughly $40.2M in cash — giving Hyperscale Data a sizable digital treasury alongside its AI infrastructure buildout. About Hyperscale Data, Inc. (NYSE American: GPUS) Hyperscale Data, Inc. is a Las Vegas-based diversified technology holding company executing a strategic shift toward AI infrastructure and high-performance computing. The company’s most strategically important asset is its 617,000-square-foot Michigan data center campus in Dowagiac, Michigan — a facility that currently operates approximately 28 MW of B-T-C mining capacity and which management believes has the long-term potential to support more than 300 megawatts of total power capacity for AI compute and IT infrastructure. The company’s wholly owned subsidiary Alliance Cloud Services, LLC serves as the entity through which Hyperscale Data delivers colocation and AI data center services. The recently signed MSA with a California-based neocloud provider — covering 20 MW of AI-focused high-density GPU compute — marks the company’s formal entry into the commercial AI infrastructure leasing market. AI Infrastructure at the Inflection Point

The AI data center market is in a period of structural undersupply. Global demand for GPU-based compute is accelerating across model training, inference, and enterprise AI deployment — while the buildout of purpose-designed facilities lags significantly behind. This demand-supply imbalance is expected to persist well into the latter part of this decade, creating durable economics for operators who can deliver capacity now. Within this dynamic, operators with existing, fully permitted, grid-connected power infrastructure hold a material competitive advantage. The lead time to develop a new data center campus from greenfield — including permitting, utility agreements, construction, and commissioning — typically spans three to five years. Operators like Hyperscale Data that can redirect existing power capacity to AI workloads can collapse that timeline to months rather than years. The neocloud market — which GPUS’s Michigan customer operates within — is a fast-expanding segment sitting between hyperscale cloud providers and bare-metal colocation. Neocloud operators aggregate GPU capacity and deliver it to AI developers, research institutions, and enterprise customers at scale. Their growth trajectory is directly correlated with AI model proliferation and the democratization of compute access across industries. Hyperscale Data’s Michigan campus adds a forward-looking dimension beyond the initial MSA: management has indicated a long-term vision of up to approximately 590 MW across Michigan and Montana assets — encompassing both conventional power and potential Small Modular Reactor (SMR) nuclear power sources in Montana. This positions the company not just as a colocation provider but potentially as a long-duration AI infrastructure platform. Recent Milestones MSA Signed — $1.2B+ AI Compute Deal (June 24, 2026)

Hyperscale Data signed its first Master Services Agreement with a California-based neocloud provider through Alliance Cloud Services, LLC. The agreement covers 20 MW of AI compute capacity at the Michigan campus, with services expected to begin in Q4 2026. The initial 10-year term, plus two five-year extension options, is expected to generate over $1.2B in revenue. A 32 MW expansion option could lift the total contract value above $3.0B. B-T-C Treasury Reaches 726 B-T-C (June 23, 2026)
The company reported holdings of approximately 726 B-T-C as of June 21, 2026, valued near $45.9M, along with roughly $40.2M in cash. OPR-R2 Humanoid Robots Enter Production (June 11, 2026)

Omnipresent Robotics, LLC began production of the first 30 OPR-R2 humanoid robots through its manufacturing partner. The robots are expected to be deployed at the Michigan campus in Q3 2026 as part of a planned 143-unit rollout. 2026 Revenue Guidance Issued (March 11, 2026)
The company provided full-year 2026 revenue guidance of $180M–$200M, compared with preliminary 2025 revenue of approximately $100M. Q1 2026 revenue was later reported at approximately $44M, up 76% year-over-year. 7 Factors Putting (GPUS) At The Top Of Our Radar This Morning
— Thursday, June 25, 2026 1. $1.2B+ Runway: GPUS recently announced a signed Master Services Agreement covering 20 MW of AI compute capacity, with an initial term that could generate more than $1.2B in revenue if fully exercised. 2. AI Transition: GPUS is shifting from B-T-C mining toward AI infrastructure services, with management indicating available power capacity will be redirected to AI-focused colocation as deployments come online. 3. Near-Term Launch: GPUS expects services under its newly announced AI compute agreement to begin as soon as late September 2026, providing a defined deployment timeline rather than a distant future target. 4. Revenue Growth: GPUS reported full-year 2026 revenue guidance of $180M–$200M following preliminary 2025 revenue of approximately $100M, while Q1 2026 revenue increased 76% year-over-year to approximately $44M. 5. Digital Treasury: GPUS holds approximately 726 B-T-C valued near $45.9M along with roughly $40.2M in cash, creating a sizable treasury alongside its infrastructure expansion plans. 6. Power Infrastructure: GPUS controls a 617,000-square-foot Michigan data center campus with approximately 28 MW currently operating and management outlining long-term potential exceeding 300 MW for AI compute and IT infrastructure. 7. Humanoid Robotics: GPUS recently entered the production phase for its first 30 OPR-R2 humanoid robots, with deployment at the Michigan campus expected during Q3 2026. Take A Look At GPUS While It’s Still Early…

Taken together, these developments paint a picture of a company in the midst of a significant transformation. From a signed AI compute agreement with potential value exceeding $1.2B, to a growing AI infrastructure footprint, accelerating revenue growth, a sizable digital treasury, existing power capacity, and the rollout of humanoid robotics, GPUS is executing across multiple initiatives that could shape its next phase of development. Whether you're focused on AI infrastructure, data center capacity, digital assets, or emerging robotics applications, GPUS is a name that warrants a closer look as these milestones continue to unfold. We will have all eyes on GPUS this morning. Take a look at GPUS while it’s still early. Also, keep a look out for my next update—it could be here any moment. Sincerely, Paul Prescott
Co-Founder & Managing Editor
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