Gradiant has announced that its HyperSolved cooling water platform is now deployed with several large hyperscale data centre operators, supporting rapidly expanding AI infrastructure. 

As global data centre capacity is projected to grow sixfold between 2025 and 2035, rising water demand is emerging as a critical constraint alongside power and land availability.

A single 100 MW hyperscale campus can consume water equivalent to the daily usage of an 80,000-person city, intensifying pressure on regions facing scarcity, permitting challenges, and strict discharge regulations. 

While compute and energy systems have advanced rapidly, water infrastructure has remained fragmented, often requiring multiple vendors and creating operational inefficiencies.

HyperSolved addresses this gap by integrating the entire cooling water lifecycle, from sourcing and treatment to discharge, into a unified platform managed by a single provider. 

Designed specifically for hyperscale environments, it reduces system complexity, improves reliability, and accelerates deployment timelines for AI data centres.

The platform expands access to alternative water sources, including municipal reuse and impaired supplies, reducing reliance on freshwater and increasing site flexibility. 

It also enhances cooling performance through integrated treatment systems, CURE Chemicals, and SmartOps AI, while improving environmental outcomes through higher water recovery and reuse rates.

HyperSolved supports both rapid deployment containerised systems for immediate capacity needs and long-term permanent infrastructure, enabling operators to scale efficiently with demand. 

Gradiant also provides full lifecycle support, from commissioning through ongoing operations.