Galaxy Digital Inc. announced on January 15, 2026 that it has completed a Large Load Interconnect Study (“LLIS”) and received approval from the Electric Reliability Council of Texas (“ERCOT”) for an additional 830 megawatts (“MW”) computing demand at its Helios Data Center Campus (“Helios”) located in West Texas. In connection with the finalization of the LLIS and approval of the study, Galaxy also entered into a service agreement with AEP Texas Inc. (“AEP”) for this additional capacity. Galaxy’s transmission interconnection provider will be Wind Energy Transmission Texas, LLC (“WETT”), which facilitated the LLIS studies.
This approval brings Galaxy’s total power capacity, with finalized LLIS study, approved by ERCOT and contracted with the power provider at the Helios site, to more than 1.6 gigawatts (“GW”), marking a significant advancement in the company’s deployment of next-generation infrastructure for artificial intelligence (AI) and high-performance computing (“HPC”). This new 830 MW approval represents a major milestone in the long-term development of Helios, effectively doubling the campus’ approved power capacity and supporting multi-tenant partnerships. The approval follows ERCOT’s review of the required elements of the LLIS study (including a steady-state study and a stability study), strengthening Galaxy’s position among the largest and most dynamic data center developers in North America.
With construction underway to support the first phase of Helios under Galaxy’s long-term lease agreement with CoreWeave, the company remains on track to deliver the first power supplies as early as early 2026. The newly approved capacity expands Galaxy’s development horizon and advances the company’s mission: to build a multi-campus, multi-tenant, multi-gigawatt data center platform designed to power the future of workloads in AI and HPC. Galaxy is evaluating other power and land opportunities in Texas and beyond, leveraging the development, technical and operational experience gained at Helios to identify new opportunities capable of supporting efficient, scalable, next-generation AI-ready infrastructure.
