Home/Deal Room/SWI and AiOnX take GDA into 3.6 GW AI-ready platform

Data centers · Evidence brief

SWI and AiOnX take GDA into 3.6 GW AI-ready platform

SWI Group + AiOnX + Genesis Digital Assets + Polarise

Primary sourcePress release only2026-06-15
Deal structureMajority stake / digital infrastructure platform repositioning for AI and HPC
GeographyUnited States and Sweden GDA portfolio plus AiOnX European sites in Ireland, the United Kingdom, Denmark, Spain and Italy
Infrastructure layersData centers + power infrastructure + financing + cloud capacity
Disclosed scale$500M acquisition of a significant Genesis Digital Assets shareholding, plus a binding agreement to move SWI Group to a majority position; GDA holds over 1.3 GW of energized and approved grid connections across 15 facilities, including hyperscaler-grade Texas sites, and SWI said combining GDA with AiOnX creates a transatlantic AI-ready digital infrastructure footprint of over 3.6 GW

Why it matters

The strategic read

Shows the crypto-to-AI infrastructure pivot becoming a gigawatt-scale M&A strategy rather than a one-off site conversion. SWI is aggregating energized land, grid approvals, hyperscaler-grade U.S. sites, European AiOnX development capacity and Polarise GPU-cloud capability into a vertically integrated platform aimed at AI and HPC workloads. The receipt is about scarce power connectivity: buying already-energized digital infrastructure and repositioning it for hyperscalers and neocloud demand.

Source-supported terms

What was disclosed

  1. 01

    SWI Group announced on June 15, 2026 that it closed a $500M acquisition of a significant shareholding in Genesis Digital Assets.

  2. 02

    SWI separately announced a binding agreement to acquire additional GDA shareholding that would move the group to a majority position.

  3. 03

    GDA is described as one of the largest privately held U.S. digital infrastructure platforms, with operations primarily in the United States and Sweden.

  4. 04

    SWI said GDA holds over 1.3 GW of energized and approved grid connections.

  5. 05

    The GDA platform comprises 15 facilities, including multiple hyperscaler-grade sites in Texas.

  6. 06

    SWI said it intends to reposition the assets from digital-asset mining toward high-performance computing and AI workloads.

  7. 07

    SWI said combining GDA with AiOnX expands the group's transatlantic AI-ready digital infrastructure footprint to over 3.6 GW.

  8. 08

    AiOnX is SWI Group's wholly owned data-center development and operating platform with five sites under development across Ireland, the United Kingdom, Denmark, Spain and Italy, representing 2.3 GW of European AI-ready capacity.

  9. 09

    SWI said AiOnX's European platform is partially leased to one of the largest hyperscalers.

  10. 10

    The majority-position release says SWI also agreed to acquire a majority stake in Polarise, an AI digital infrastructure provider focused on HPC capacity through hardware and software offerings.

  11. 11

    SWI said Polarise is an official NVIDIA Cloud Service Provider and recently launched an industrial-scale AI factory in Germany in partnership with Deutsche Telekom and NVIDIA.

  12. 12

    DCD reported the deal as AiOnX acquiring a majority stake in GDA for $500M and gaining access to 3.6 GW of data-center capacity across the United States and Europe.

Disclosure boundary

What is known—and what is not

Primary SWI / PRNewswire releases and DCD coverage disclose the $500M closed shareholding acquisition, binding agreement toward majority control, 1.3 GW GDA energized/approved grid-connection base, 15-facility portfolio, Texas hyperscaler-grade sites, 2.3 GW AiOnX European platform, over-3.6 GW combined AI-ready footprint, Polarise/NVIDIA Cloud Service Provider context and AI/HPC repositioning thesis. Public materials do not disclose the full purchase agreement, closing conditions for the additional majority stake, site-by-site MW, tenant names, lease economics, conversion capex, utility or interconnection terms, power prices, financing sources, GPU procurement plans, construction/EPC awards, hyperscaler lease documents, timelines for each conversion, or whether all legacy mining capacity can be economically converted to AI/HPC service.