Expanded Dow collaboration and new Solenis partnership bring coolant technologies, water treatment, monitoring and lifecycle services together to improve the reliability and efficiency of AI-scale liquid cooling.
As artificial intelligence drives higher computing densities in data centres, managing liquid cooling is becoming an increasingly complex infrastructure challenge. Vertiv is responding by building a global ecosystem that integrates thermal infrastructure, fluid chemistry, monitoring and lifecycle services through collaborations with Dow and Solenis.
The initiative combines an expanded collaboration with Dow, a materials science company specialising in advanced coolant technologies, and a new partnership with Solenis, which provides specialty chemicals and water treatment solutions. The objective is to help data centre operators manage liquid cooling as an integrated thermal system rather than a collection of individual components.
With AI workloads placing greater demands on cooling infrastructure, performance and reliability depend on multiple interconnected elements, including heat rejection, chilled-water systems, facility and technology cooling loops, coolant distribution, filtration, leak detection and fluid chemistry. Weaknesses in any part of this chain can affect overall system efficiency, equipment life and uptime.
Under the expanded arrangement, Vertiv will work with Dow through its Dow Coolant Care Network, while the Solenis partnership adds expertise in water treatment and fluid management. These capabilities will be integrated with Vertiv’s infrastructure, monitoring and global service network to support customers throughout the cooling system lifecycle.
“AI is changing liquid cooling from an equipment decision into a system-management imperative. Operators need to manage thermal infrastructure, fluid health, monitoring and lifecycle service as one interconnected discipline.”
— Ron Bednar, Senior Vice President of Global and Americas Services, Vertiv
The combined offering will cover system compatibility, engineered flushing, precision filling, commissioning and filtration to establish clean and stable cooling environments. It will also use Vertiv’s Next Predict monitoring and analytics platform to provide greater visibility into thermal infrastructure, alongside integrated leak detection and early-warning capabilities.
Another focus is the proactive management of fluid chemistry across both technical and facility water systems. By monitoring fluid health and applying data-driven insights, operators can identify potential issues earlier, improve water utilisation and reduce the total cost of ownership.
Ron Bednar, Senior Vice President of Global and Americas Services at Vertiv, said the ecosystem addresses the growing need to manage thermal infrastructure and fluid health as a unified operational discipline. He added that managing these interdependencies could help operators improve efficiency and uptime, reduce risk and extend equipment life.
The announcement highlights a broader shift in data centre infrastructure strategy. As AI deployments move towards increasingly dense GPU environments, liquid cooling is becoming central to capacity planning and operational resilience. The challenge is no longer limited to selecting cooling equipment; it increasingly involves maintaining the quality, compatibility and performance of the entire thermal ecosystem.
By bringing together infrastructure engineering, coolant expertise, water treatment and lifecycle services, Vertiv aims to provide operators with a more comprehensive approach to supporting AI-scale data centre operations.
