EQT Introduces AI Infrastructure Strategy to Help Build the Foundation of the AI Economy
- Strategy targets generational infrastructure investment needs, driven by AI and requiring trillions in global investment
- Fully seeded by EdgeConneX and supported by EQT's global infrastructure platform with more than
$100 billion in digital and energy assets
EQT Infrastructure portfolio companies will continue to work with all major hyperscalers, chip designers, AI native companies and neoclouds to drive investment into this crucial part of the next generation of AI.
AI is driving a new industrial era. Global demand for data centers is accelerating, with AI expected to significantly increase compute needs and power consumption. Industry estimates suggest that around
EQT's AI Infrastructure strategy is designed to address this significant demand by leveraging its deep expertise across the entire spectrum of infrastructure and enhancing collaboration across its infrastructure portfolio. The strategy is fully seeded by EQT Infrastructure portfolio company EdgeConneX, enabling EQT to continue supporting its tremendous growth trajectory, and it will build on EQT's broader platform, which includes more than
EdgeConneX seeds the EQT AI Infrastructure Strategy
EdgeConneX provides the strategy with an immediate, large-scale platform from which to execute on the AI infrastructure opportunity. EQT AI Infrastructure will leverage EdgeConneX's presence across all major data center markets in
Contact
EQT Press Office, [email protected]
1Utilities Must Reinvent Themselves to Harness the AI-Driven Data Center Boom, Bain & Company,
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The following files are available for download:
Press Release, EQT AI Infrastructure, 21042026 | |
https://news.cision.com/eqt/i/eqt-2023-infrastructure-1012-edgeconnex-v19-01022708,c3529872 | EQT 2023 Infrastructure 1012 EdgeConneX V19 01022708 |
View original content:https://www.prnewswire.com/news-releases/eqt-introduces-ai-infrastructure-strategy-to-help-build-the-foundation-of-the-ai-economy-302748973.html
SOURCE EQT
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