Motivair by Schneider Electric Introduces Breakthrough CDU Innovation for the Future of AI Factories

Motivair, a leading liquid cooling specialist within , has officially announced the launch of a revolutionary new Coolant Distribution Unit (CDU) designed to support the extreme power and thermal demands of next-generation AI factories. This new CDU platform is engineered to scale beyond 10 megawatts (MW), positioning it as one of the most advanced and future-ready cooling solutions available for hyperscale AI and high-performance computing (HPC) environments.

The announcement highlights a critical milestone in the evolution of data center infrastructure, especially as artificial intelligence workloads drive unprecedented density, energy consumption, and heat generation. With AI factories rapidly becoming the backbone of digital economies, Schneider Electric and Motivair are responding with technology that enables reliability, scalability, and sustainability at massive scale.

Addressing the Cooling Challenge of AI Factories

AI factories represent a new class of data center. Unlike traditional facilities, these environments host massive clusters of GPUs and accelerators that can consume tens of kilowatts per rack. In many cases, air cooling alone is no longer sufficient to manage these thermal loads.

The newly announced CDU from Motivair directly addresses this challenge by enabling efficient liquid cooling at scale. Liquid cooling removes heat far more effectively than air, allowing operators to support higher compute density while reducing overall energy consumption.

This solution is particularly relevant as organizations race to deploy AI infrastructure for machine learning, generative AI, scientific simulations, and real-time analytics. Without advanced cooling systems, these workloads would be limited by thermal constraints rather than compute capability.

Scalability Beyond 10MW: Built for the Future

One of the most significant aspects of the new CDU is its ability to scale to 10MW and beyond. This level of capacity is essential for AI factories, which are often designed as modular, expandable campuses rather than single-room data centers.

Motivair’s CDU architecture allows operators to:

• Scale cooling capacity as AI workloads grow
• Support next-generation processors with higher thermal design power (TDP)
• Maintain consistent performance across large compute clusters
• Reduce the need for complex redesigns during expansion

This scalability ensures that today’s investment remains viable for many years, even as AI hardware continues to evolve at a rapid pace.

Designed for High Reliability and Mission-Critical Operations

AI factories often support mission-critical applications, including healthcare research, autonomous systems, financial modeling, and national infrastructure. Any downtime can result in significant operational and financial impact.

Motivair’s new CDU is designed with high availability as a core principle. The system incorporates redundant components, intelligent monitoring, and advanced control logic to ensure continuous operation even under extreme conditions.

By maintaining stable temperatures and flow rates, the CDU helps protect sensitive AI hardware from thermal stress, extending equipment lifespan and reducing the risk of unexpected failures.

Integration with Schneider Electric’s Digital Ecosystem

As part of the Schneider Electric portfolio, the new CDU integrates seamlessly with the company’s broader digital infrastructure and energy management solutions. This integration enables real-time visibility into cooling performance, energy usage, and system health.

Operators can leverage Schneider Electric’s software platforms to:

• Monitor thermal performance across AI clusters
• Optimize energy efficiency at facility and campus level
• Predict maintenance needs using data analytics
• Align cooling strategies with sustainability goals

This holistic approach supports smarter decision-making and helps organizations balance performance, cost, and environmental impact.

Supporting Sustainability and Energy Efficiency

Sustainability is a major concern for data center operators, particularly as AI workloads significantly increase electricity demand. Liquid cooling, when implemented effectively, can dramatically improve energy efficiency.

The new CDU from Motivair enables:

• Lower power usage effectiveness (PUE)
• Reduced reliance on energy-intensive air conditioning
• Opportunities for heat reuse in district heating or industrial processes
• Improved alignment with corporate carbon reduction targets

By reducing wasted energy and improving thermal efficiency, this solution supports the global push toward greener digital infrastructure.

Optimized for Next-Generation AI Hardware

AI hardware is evolving rapidly, with newer GPUs and accelerators generating more heat per square meter than ever before. Traditional cooling methods struggle to keep pace with these advancements.

Motivair’s CDU is specifically optimized to support:

• Direct-to-chip liquid cooling
• High-flow, high-temperature coolant loops
• Advanced server designs used in AI training and inference
• Future processor generations with higher power density

This forward-looking design ensures compatibility with upcoming AI platforms, reducing the risk of obsolescence.

Modular Design for Faster Deployment

Speed is a critical factor in AI infrastructure deployment. Organizations need to bring AI factories online quickly to remain competitive.

The modular nature of the new CDU allows for:

• Pre-engineered configurations
• Simplified installation and commissioning
• Reduced on-site construction complexity
• Faster time-to-value for AI investments

This approach aligns well with modern data center strategies that emphasize prefabrication and standardized building blocks.

Meeting the Needs of Hyperscalers and Enterprises

The new CDU is designed to serve a wide range of customers, from hyperscale cloud providers to large enterprises building private AI factories.

Use cases include:

• Cloud-based AI training platforms
• Enterprise AI research and development
• Government and defense AI systems
• Scientific computing and simulation environments

By offering flexibility and scalability, Motivair and Schneider Electric enable organizations of all sizes to adopt advanced liquid cooling without compromising reliability or efficiency.

Industry Impact and Market Significance

The launch of a CDU capable of scaling beyond 10MW represents a significant step forward for the data center cooling industry. It reflects a broader shift toward liquid cooling as a mainstream solution rather than a niche technology.

As AI continues to reshape industries, infrastructure providers must innovate rapidly to support growing computational demands. This announcement reinforces Schneider Electric’s position as a leader in data center innovation and highlights Motivair’s deep expertise in liquid cooling systems.

Strengthening Schneider Electric’s AI Factory Vision

Schneider Electric has consistently emphasized the importance of resilient, efficient, and sustainable infrastructure for AI factories. The introduction of this new CDU aligns with that vision by providing a critical building block for large-scale AI deployments.

By combining power management, digital monitoring, and advanced cooling, Schneider Electric enables customers to design AI factories that are not only powerful but also responsible and future-ready.

Conclusion: Enabling the Next Era of AI Infrastructure

The announcement of Motivair’s new scalable CDU marks a pivotal moment in the evolution of AI infrastructure. As AI factories grow in size and complexity, cooling systems must evolve to meet unprecedented demands.

With the ability to scale beyond 10MW, integrate seamlessly with digital energy platforms, and support sustainability goals, this new CDU sets a new benchmark for liquid cooling in AI and HPC environments.

For organizations planning next-generation AI factories, Motivair by Schneider Electric offers a solution that combines performance, reliability, and long-term scalability—key ingredients for success in the AI-driven future.

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