Paris: Global sustainability leader Schneider Electric has deepened its partnership with NVIDIA, the AI computing pioneer, to fast-track the global rollout of AI factories – sustainable, high-density data centers purpose-built for artificial intelligence workloads.
The collaboration, unveiled at NVIDIA GTC in Paris, focuses on co-developing cutting-edge power, cooling, and intelligent infrastructure systems that will support the European Commission’s “AI Continent Action Plan” and the €200 billion InvestAI initiative.
These frameworks aim to establish at least 13 AI factories and up to five gigafactories across the continent.
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As part of the initiative, Schneider Electric introduced a new EcoStruxure Pod and Rack Infrastructure, designed to accelerate global AI deployment.
A major highlight includes the launch of a Schneider Electric Open Compute Project (OCP)-inspired rack system, engineered to support the NVIDIA GB200 NVL72 platform built on the NVIDIA MGX modular architecture.
“Together with NVIDIA, we’re driving the next wave of AI infrastructure innovation,” said Olivier Blum, CEO, Schneider Electric. “Our strategic partnership fuses sustainability and accelerated computing to deliver scalable, future-ready AI factories worldwide.”
Jensen Huang, Founder and CEO of NVIDIA, added, “AI is the defining technology of our time. Through this collaboration, we’re building the infrastructure that will enable AI across every sector of society.”
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The collaboration builds on previous milestones, including the world’s first digital twin for electrical and power systems in AI factories, co-developed using NVIDIA Omniverse Blueprint by Schneider Electric and ETAP.
AI Factories: The Backbone of the AI Revolution
Additionally, the companies have developed full electrical and liquid-cooling-based reference designs that support NVIDIA architectures. These include solutions from Motivair, recently acquired by Schneider Electric to bolster its liquid cooling capabilities.
This continued R&D momentum will accelerate new product rollouts, reference designs, and infrastructure blueprints to support the scalable deployment of AI-ready data centers globally.
