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At the recent AI Infrastructure Summit, NVIDIA introduced a groundbreaking paradigm: transforming traditional data centers into highly integrated AI factories. Moving beyond its core chip business, NVIDIA is partnering with major technology and infrastructure companies to co-engineer facilities optimized for the intensive power and cooling demands of AI workloads. This initiative embraces a system-level approach, unifying compute, power, cooling, and orchestration into a seamlessly designed infrastructure.
Central to this vision is the creation of digital twins — virtual replicas of AI factory environments — built on the NVIDIA Omniverse platform. These twins enable pre-construction simulation and continuous operational management, ensuring maximum efficiency and reliability. By using simulation-ready digital assets and adopting the open standard OpenUSD framework, NVIDIA and its partners can model every component from power grids to facility cooling systems in unprecedented detail.
Collaborators including Siemens, Jacobs, and Schneider Electric bring decades of infrastructure expertise for gigawatt-scale energy delivery and sustainable operations. When fully realized, this AI factory blueprint will foster real-time cross-industry collaboration through APIs and digital assets, ushering in a new era of composable, resilient, and scalable AI infrastructure designed specifically for the next generation of AI computing demands.
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Insights
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NVIDIA is pioneering a new AI factory concept by integrating data center infrastructure with AI-optimized systems for power, cooling, and orchestration.
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The initiative uses digital twins and simulation via the NVIDIA Omniverse platform to design, optimize, and operate AI factories before physical construction.
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Industry leaders like Siemens, Jacobs, Schneider Electric, and GE Vernova collaborate to provide expertise in power delivery, cooling, and infrastructure integration at gigawatt-scale.
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By co-designing infrastructure and compute platforms, NVIDIA enables system-level efficiency that reduces energy waste and improves reliability in AI workloads.
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OpenUSD-standard simulation assets and APIs will allow partners to engage in real-time collaboration, promoting scalable and resilient AI factory ecosystems.
At the recent AI Infrastructure Summit, NVIDIA introduced a groundbreaking paradigm: transforming traditional data centers into highly integrated AI factories. Moving beyond its core chip business, NVIDIA is partnering with major technology and infrastructure companies to co-engineer facilities optimized for the intensive power and cooling demands of AI workloads. This initiative embraces a system-level approach, unifying compute, power, cooling, and orchestration into a seamlessly designed infrastructure.
Central to this vision is the creation of digital twins — virtual replicas of AI factory environments — built on the NVIDIA Omniverse platform. These twins enable pre-construction simulation and continuous operational management, ensuring maximum efficiency and reliability. By using simulation-ready digital assets and adopting the open standard OpenUSD framework, NVIDIA and its partners can model every component from power grids to facility cooling systems in unprecedented detail.
Collaborators including Siemens, Jacobs, and Schneider Electric bring decades of infrastructure expertise for gigawatt-scale energy delivery and sustainable operations. When fully realized, this AI factory blueprint will foster real-time cross-industry collaboration through APIs and digital assets, ushering in a new era of composable, resilient, and scalable AI infrastructure designed specifically for the next generation of AI computing demands.
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