09/11/2025 | Press release | Distributed by Public on 09/11/2025 07:40
The artificial intelligence (AI) revolution is reshaping every global industry, but nowhere is its potential more profound than in Life Sciences. Today, AI is transforming massive volumes of genomic, molecular, and clinical data into faster drug discovery, real-time diagnostics, and personalized medicine.
Yet, with each opportunity to harness AI's potential comes equal challenges: How can we overcome our traditional data center designs that were not built to handle AI's massive and power-intensive demands? And more importantly, how can we access the computational power needed for AI innovation without massive infrastructure investment and risk?
This is where the exciting partnership between Schneider Electric and leading AI computing leader, NVIDIA, is making a game-changing difference.
Building the Foundation for AI Innovation
Last year, Schneider Electric and NVIDIA announced a strategic partnership to advance research and development initiatives for power, cooling, controls, and high-density rack systems, enabling the next generation of AI factories across Europe and beyond.
Our partnership leverages Schneider Electric's deep expertise in data center infrastructure, combined with NVIDIA's advanced AI technology, to introduce the first publicly available AI data center reference design.
For Life Sciences organizations, this foundational solution provides a tangible path to accelerated innovation without expanding risk by offering a modular AI-ready infrastructure that can be deployed faster, scaled smarter, and operated more sustainably.
AI-Ready Data Pods Accelerate Life Sciences
At the center of our joint offering is the EcoStruxure Pod Data Center, which streamlines AI cluster deployment with an integrated and scalable pod-based architecture. These modular and preconfigured pods arrive with built-in power distribution, monitoring systems, and cooling infrastructure, reducing deployment timelines compared to traditional data center builds.
EcoStructure Pod Data Center Solutions provide Life Sciences organizations:
Our infrastructure leverages NVIDIA's reference designs to enhance AI-powered data centers, delivering improved performance, scalability, and energy efficiency. Manufactured in Schneider Electric's own facilities, these "AI factories" are specially designed for large language model (LLM) training, enabling Life Sciences organizations to benefit from adaptable technology that supports faster innovation.
Additionally, innovations like Schneider Electric's Industrial Copilot, developed in collaboration with Microsoft, will continue to improve to support the acceleration of drug discovery in the Life Sciences sector, among other R&D processes
A Scalable Model for Scientific Progress
These modular AI-powered data centers can be deployed at the edge of any R&D campus or near an existing manufacturing facility, without requiring the overhaul of existing infrastructure. Its computing capacity can grow in response to scientific research demands, without being delayed by lengthy construction timelines. As each component meets the validation requirements for AI workloads, teams can gain confidence in both performance and compliance, fueling deeper AI-driven innovation.
This partnership is already delivering modular AI factories for the pharmaceutical industry, with the clear intent of scaling drug discovery, powering real-time diagnostics, and enabling personalized medicine. This modular solution removes the complexity and risk of building custom AI infrastructure, paving the way for a more efficient, sustainable, and transformative future.
Ready to Transform Your AI Capabilities?
Don't let infrastructure limitations hold back your next breakthrough. Download our eGuide to learn more about how Schneider Electric's EcoStruxure Pod Data Center can accelerate your next breakthrough.
Tags: AI in manufacturing, AI-ready data center, EcoStructure Pod Data Center, EcoStruxure for Life Sciences, Life Sciences Manufacturing, NVIDIA