US-based Qivurn Data Centers has expanded its AI computing infrastructure network, adding operational and developing sites in Southeast Asia, North America, the Middle East, and Japan.

The company follows an asset-heavy model with a focus on self-owned facilities.

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Qivurn Data Centers handles its own power management and graphics processing unit (GPU) cluster deployments, allowing it to manage end-to-end operations without relying on third-party resource resellers.

Its facilities are specifically designed to support large-scale AI computing, with features such as support for ultra-high-density racks, hybrid liquid cooling and precision air conditioning equipment, and high-speed interconnection networks.

The sites are also set up to support deployment of next-generation Nvidia GPU clusters.

Qivurn Data Centers currently maintains active facilities in Silicon Valley, New York, Tokyo, Kuala Lumpur, and Singapore.

Construction of new data centre facilities is underway in Dubai and Frankfurt, two locations which the company identifies as important for meeting rising international demand for AI workloads.

The operator has a diverse client base across the Asia-Pacific region, the Americas, and the Middle East.

Its services are used by developers of large language models, financial services firms, companies focused on autonomous driving, platforms for medical AI, research organisations, and government entities working on digital transformation projects.

The company operates with its own end-to-end infrastructure that spans computing production, delivery, and ongoing operations. It remains independent of third-party resource resale.

Qivurn Data Centers states that its network of high-density facilities is intended to supply foundational computing power for a wide range of advanced enterprise AI workloads.