Water Tower Research Virtual Insights Conference
Logotype for Soluna Holdings Inc

Soluna (SLNH) Water Tower Research Virtual Insights Conference summary

Event summary combining transcript, slides, and related documents.

Logotype for Soluna Holdings Inc

Water Tower Research Virtual Insights Conference summary

23 Sep, 2026

Business model and operations

  • Builds data centers at renewable energy sites to utilize excess power, bypassing traditional grid interconnections for faster, lower-cost access to energy.

  • Operates 206 MW of capacity with a 6.3 GW development pipeline, focusing on both Bitcoin hosting and AI/HPC workloads.

  • Recent shift to a co-mining model with Bitdeer, sharing mining proceeds and increasing exposure to mining economics.

  • Acquired 390+ acres for Dorothy 3, a planned 300 MW AI campus, and completed vertical integration of Dorothy 1 and 2 by acquiring the powering wind farm.

  • Master planning, environmental surveys, and equipment procurement underway for Dorothy 3, with marketing to customers to follow.

Financial performance and outlook

  • Achieved a 60% sequential and 145% year-over-year revenue increase in the last quarter, reaching $15 million and marking five consecutive quarters of growth.

  • Addition of Bitdeer project and new AI data centers expected to significantly boost revenue and profits in coming quarters.

  • Each 100 MW AI data center projected to add $100–180 million in net operating income.

  • AI data center revenue expected to be about three times current Bitcoin revenue within 18–24 months.

  • Kati 2 targeted to go live by late 2027 or early 2028, expected to materially enhance revenue and profit profile.

Regulatory and competitive positioning

  • Texas regulatory audits require all data centers in the interconnection queue to be reviewed; Kati and Dorothy projects have been conditionally accepted as base load.

  • Behind-the-meter model avoids burdening the grid, uses minimal water, and funds its own infrastructure, aligning with regulatory expectations.

  • 206 MW of Texas capacity already energized, with AI campuses leveraging adjacent infrastructure and wasted power.

  • Strong relationships with major infrastructure funds and technological differentiators provide a competitive edge.

  • Business model and execution are considered difficult to replicate, offering a sustainable advantage.

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