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MARA Holdings to acquire Texas site for 2 GW AI and bitcoin campus in deal worth up to $600 million

MARA Holdings to acquire Texas site for 2 GW AI and bitcoin campus in deal worth up to $600 million

MARA said its Volt Texas unit signed and completed the acquisition of a more than 1,200-acre Matagorda County power site on July 2, a deal that could expand total power capacity to 4.8 GW.

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Fact Check
The official MARA IR press release directly confirms the acquisition of a Texas site (Matagorda County) developed into a phased 2 GW campus for Bitcoin mining and AI/HPC computing, with first capacity (1 GW) targeted by October 2027 and 2 GW by April 2028, and phased construction potentially starting in 2026. The $600 million milestone-based deal value is corroborated by the SEC 8-K filing summary (Stock Titan) and Crypto Briefing. All material elements of the claim are supported by primary and corroborating sources.
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Summary

MARA Holdings said its subsidiary Volt Texas, LLC signed and completed an agreement on July 2 to acquire a more than 1,200-acre power site in Matagorda County, Texas from HIF USA LLC, advancing plans for a digital infrastructure campus for AI data centers and bitcoin mining. The company said the milestone-based deal could reach ¥97.4 billion, aligning with its earlier statement that the project could cost up to $600 million. MARA has previously said the site is being developed with Starwood Digital Ventures, which is targeting 1 gigawatt of capacity by October 2027 and up to 2 gigawatts by the second quarter of 2028, subject to approvals, power contracts and tenant commitments. When fully operational, the site would expand MARA's total power capacity to 4.8 GW, underscoring the company's broader strategy of securing energy-rich infrastructure that can serve both bitcoin mining and AI-related computing demand.

Terms & Concepts
  • milestone-based deal: A transaction structure in which payments are made as specified project targets or conditions are achieved.
  • power capacity: The amount of electrical generation or load a site or company can support, often measured in gigawatts.
  • AI data centers: Facilities built to run computing infrastructure for artificial intelligence workloads, including training and inference.