Khazna Data Centers and Siemens sign MoU to explore next-gen AI data centre technologies

Khazna Data Centers and Siemens sign MoU to explore next-gen AI data centre technologies

Khazna Data Centers, a global leader in critical AI infrastructure, and Siemens, have signed a Memorandum of Understanding (MoU) aimed at establishing a technical relationship to advance the infrastructure required for the next generation of AI data centres.

The agreement sets out a series of specific areas for potential collaboration. From AI-ready infrastructure strategy and technology testing to next-generation power architectures and engineering talent development, the MoU outlines ambitions to prepare the AI infrastructure ecosystem for rapidly evolving requirements.

“Siemens has made important contributions to the technologies that help data centre operators manage critical infrastructure efficiently and reliably. That becomes even more important as AI drives significantly denser computing environments and places new demands on power and supporting systems,” said Sultan Alowais, Vice President – International Execution at Khazna Data Centers.

“Through this MoU, we want to combine that technology expertise with the operational and delivery experience we have built at Khazna, looking practically at what the next generation of AI infrastructure will require and how we can prepare for it.”

Through the partnership, Khazna and Siemens will aim to examine emerging technology trends and the implications they could have for the design and operation of future facilities.

The collaboration will explore the use of digital twin technology for AI data centres, with the aim of strengthening the ability to model, understand and optimise increasingly complex infrastructure environments.

The collaboration will also draw upon Siemens’ digital twin expertise spanning simulation, design validation, system integration, commissioning and operational optimisation for data centre infrastructure. The companies will continue to progress next-generation 800 VDC power architectures and their potential in AI data centres.

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