Enabling the Digital & AI Age

With water technology that we consistently develop to be safer and increasingly AI-embedded, we contribute to enable the Digital & AI Age.

We are involved across the entire value chain for the digital and AI economy, including cooling systems in data centers.

Artificial intelligence, cloud computing, and data-based applications are fundamentally changing business and society. At the same time, the requirements placed on the physical infrastructure that enables this development are increasing.

The AI value chain extends from raw material extraction and semiconductor production to data centers and digital applications. Along this chain, water and cooling infrastructures are required that can be operated in line with demand. With its water technologies, Wilo supports the infrastructure behind this digital development.

Ein Blick in ein Rechenzentrum: Zwei Techniker überwachen die Serverracks und sorgen für die Betriebssicherheit.

Data makes water infrastructures smarter

Digitalisation is changing the way infrastructures are planned, operated, and further developed. Sensors, connected systems, and data-based analyses create transparency regarding operating conditions, energy consumption, and water flows. This enables operators to make more informed decisions, improve processes, and use resources more specifically.

Individual technical components are becoming connected systems that can respond to changes and support the continuous improvement of operations. This can increase operational reliability, help reduce resource consumption, and create a basis for high-performing digital infrastructures.


Data centers as the backbone of the AI era

Artificial intelligence requires significant computing power. Data centers therefore form the backbone of the digital and AI era. This is where data is processed, models are trained, and digital services are provided.

As computing power increases, however, the requirements for cooling capacity, energy supply, and resource efficiency also grow. Water plays a central role in this context. Only if heat can be dissipated reliably and technical systems can be operated stably can data centers remain high-performing over the long term.

Wilo supports operators worldwide with solutions for cooling and supply systems. These solutions are designed to help reduce energy and water consumption while meeting high requirements for availability and operational reliability.

Practical example: Alibaba Cloud data center, China

One example is the Alibaba Cloud data center, where digital innovation is combined with the demand-based operation of water and cooling systems. To ensure the operation of large-scale server environments, water plays a central role, especially in the area of cooling. Intelligent water-based systems capture operating data such as temperatures, flow rates, and pressure conditions. On this basis, cooling processes are managed dynamically and adapted to actual load situations.

The use of data-based analysis and automation approaches makes it possible to adapt water and energy use to the relevant operating conditions. Instead of static operating modes, adaptive systems are created that can respond flexibly to changing requirements. In this way, efficiency potential can be identified, resource use can be aligned with actual operating conditions, and operating processes can be monitored in a more targeted way.

The example illustrates how digital intelligence and physical infrastructure interact: water becomes an active part of a learning system that supports the operation of data-intensive applications. This creates an important basis for the AI era.


Artificial intelligence opens up new efficiency potential

Artificial intelligence creates new opportunities for the operation of complex systems.

By analyzing large volumes of data, patterns can be identified, processes can be improved, and potential disruptions can be detected at an early stage. This can support the ongoing improvement of water use, energy use, and operating processes.

AI supports operators in using resources more specifically, reducing the risk of failures, and adapting technical systems to dynamic requirements. In this way, resilient infrastructures can be created that may also offer economic and environmental advantages.