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    Home » DAMAC locks in $12 billion capacity for U.S. AI data centers
    Technology & Innovation

    DAMAC locks in $12 billion capacity for U.S. AI data centers

    Art RyanBy Art RyanJanuary 23, 2026No Comments2 Mins Read
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    DAMAC locks in $12 billion capacity for U.S. AI data centers
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    Dubai’s DAMAC secures capacity worth $1.2 billion for U.S. AI data centres as part of its expansion into global technology infrastructure. The company said the investment will support development of facilities that host artificial intelligence compute and storage resources for enterprise clients.

    Details of the capacity deal

    DAMAC said it has secured long-term capacity commitments valued at about $1.2 billion with data centre partners in the United States. The agreement covers space, power, and network infrastructure needed to operate large-scale AI workloads. The capacity is intended to meet growing demand from cloud, enterprise, and AI service providers that require robust computing environments.

    Strategic focus on AI infrastructure

    The move aligns with DAMAC’s strategy to expand its presence beyond real estate into technology infrastructure. The company said AI data centre capacity will be a key element of future growth, as more organisations deploy artificial intelligence applications that need high-performance computing resources. Investments target facilities capable of supporting emerging AI servers and large datasets.

    Partners and locations

    DAMAC did not disclose all specific partner names or exact data centre locations but said the capacity secured spans multiple U.S. regions with strong connectivity and energy access. Key criteria for site selection include access to renewable energy, reliable power grids, and proximity to network hubs. These factors help ensure performance and scalability for AI workloads.

    Market context and demand drivers

    Demand for AI-ready data centre capacity has risen as cloud companies and enterprises adopt generative AI, machine learning, and analytics platforms. Providers of AI services often require specialised cooling, power distribution, and redundancy systems. The high cost of building new facilities has increased interest in long-term capacity agreements.

    Impact on regional expansion

    For DAMAC, the expansion into U.S. AI data centre capacity represents a notable step in its diversification strategy. The company aims to bridge technology demand between the Middle East and major global data markets, offering clients access to infrastructure in one of the world’s largest AI and cloud ecosystems.

    Conclusion

    Dubai’s DAMAC secures about $1.2 billion in U.S. AI data centre capacity as it expands into technology infrastructure. The move reflects rising demand for environments that support artificial intelligence workloads and positions DAMAC in the global AI ecosystem.

    Source: https://www.itp.net/cloud-data/dubais-damac-secures-capacity-worth-12-billion-for-u-s-ai-data-centres

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    Art Ryan

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