Scale data centers fast with liquid cooling | Watch our explainer video

Scale data centers fast with liquid cooling | Watch our explainer video


How to scale data centers with liquid cooling

Liquid cooling represents a paradigm shift for data centers.

As demand for compute power grows, liquid cooling is unlocking a new tier of energy efficiency for the next generation of data centers. In our new episode of Decarbonization Explained, we explore what’s changing — and why liquid cooling is seeing large‑scale deployment in data centers of all sizes.

From reducing the energy used for cooling to unlocking more compute power, this episode looks at how liquid cooling solutions are scaling data centers faster than ever.

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Data centers: A new lever of flexibility, integration, and security

AI and digital services are accelerating demand for data centers — and with it, the need for smarter, more efficient solutions.

With the launch of Danfoss Impact Paper No. 8 – Data centers: A new lever of flexibility, integration, and security, we highlight how data centers can evolve from energy-intensive facilities into flexible, efficient, and fully integrated assets in future energy systems.

Our Impact Paper highlights three key opportunities:

  1. Boosting energy savings: Efficient technologies can help data centers cut energy use with short payback times.
  2. Turning waste heat into a resource: Nearly every kilowatt used in a data center becomes heat. With the right planning, much of the heat that is wasted today can be captured and reused.
  3. Supporting the energy grid: If data centers are well-integrated, they can become a key part of our energy system. They can lower costs, increase competitiveness, and strengthen energy security.

The solutions already exist. What’s needed now is a focus on efficiency, heat reuse, and integrated planning of data centers.

Read the full Impact Paper

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Scaling data centers in the age of AI — key insights from the China Development Forum

The rapid growth of AI and digital infrastructure is reshaping global energy demand — and putting increasing pressure on how data centers scale, operate, and consume resources.

At the China Development Forum 2026 at the Royal Danish Embassy in Beijing, this challenge was front and center: how data centers can move from growing electricity and water consumers to flexible, efficient, and fully integrated assets in future energy systems.

Our CEO, Kim Fausing, joined customers, partners, and industry experts to discuss what it takes to scale on demand while increasing efficiency and reducing costs — and what this means in practice as AI adoption accelerates.

The direction is clear: the future of data centers depends not only on scale, but on how intelligently and efficiently that scale is delivered.

At Danfoss, our broad portfolio enables exactly this: helping data centers scale on demand while increasing efficiency and reducing costs.

A warm thank you to our speakers and panelists, and the many customers who joined us for valuable dialogue and collaboration. We look forward to continuing our partnership to build smarter, more resilient, and more sustainable data centers in China and beyond.

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Liquid cooling gets the headlines, but most operators still have 15–30% of compressor energy trapped in part-load inefficiency on existing air/chiller plants. Smart Compressor Control (temperature-based, 5-parameter monitoring, 250ms modulation) adds 12–22% kWh reduction ON TOP of existing VFDs — Avondale Foods got an additional 28% across 4 chillers after they'd already optimized with pressure-based VFDs. Liquid cooling is the new-build play; compressor optimization is the brownfield capacity recovery play. Both are needed to scale DC fast.

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Extremely helpful 👏

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Absolutely amazing and astonishing video. That is why and where Dubois Chemicals could cooperate with Danfos. Our Chem-Frost propylene glycol-based products could accelerate cooling by transfering heat and working at elevated temperatures (up to 345F) and reduce power consumption of Danfos pumps by as much as 9%.

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