AtkinsRéalis has announced a collaboration with Nvidia to explore nuclear-powered infrastructure for large-scale artificial intelligence (AI) facilities.
The engineering firm said the partnership will focus on integrating advanced computing technologies into the design and delivery of AI-ready data centres, powered by nuclear energy. The initiative will assess how digital tools, including simulation and 3D modelling, can support infrastructure planning before construction begins.
AtkinsRéalis will combine its experience in nuclear power, energy systems and major project delivery with Nvidia’s capabilities in accelerated computing and AI technologies. The companies will examine how these strengths could support developers seeking to deploy energy-intensive AI infrastructure.
Ian L Edwards, president and chief executive, AtkinsRéalis, said: “AtkinsRéalis brings deep engineering and delivery expertise across complex infrastructure and a 70-year legacy of excellence in the nuclear industry. This collaboration enables us to leverage these strengths in energy, infrastructure and complex project delivery to complement Nvidia’s leadership in accelerated computing to help power critical AI data centres.”
The collaboration comes amid rising global demand for AI infrastructure, which is increasingly outstripping available power supply. Nuclear energy is being considered as a low-carbon, reliable option to meet the continuous energy needs of large-scale data centres.
As the original equipment manufacturer and licence holder of CANDU technology, AtkinsRéalis said it is well placed to explore how standardised nuclear solutions could be aligned with AI computing requirements. Nvidia will contribute expertise in computing, networking and digital twin technologies to support system design and potential regulatory pathways.
Vladimir Troy, vice president, AI infrastructure, Nvidia, said: “Energy is essential to the AI industrial revolution. Pairing AtkinsRéalis’ deep engineering and nuclear expertise with the Nvidia DSX Blueprint can help scale the deployment of efficient next-generation AI factories with accelerated computing and digital twins.”
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