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Amazon, Veolia Deploy Reclaimed Water Systems to Cut Data Center Water Use by 83M Gallons Annually

Amazon, Veolia Deploy Reclaimed Water Systems to Cut Data Center Water Use by 83M Gallons Annually

Amazon, Veolia Deploy Reclaimed Water Systems to Cut Data Center Water Use by 83M Gallons Annually

  • Project will reuse over 83 million gallons of potable water annually, reducing strain on local groundwater in Mississippi
  • Supports Amazon’s target to be water positive in direct data center operations by 2030
  • Scalable, AI-enabled solution positions water reuse as a core strategy for global data center infrastructure

Mississippi Pilot Targets Water-Intensive Data Centers

Amazon and Veolia are advancing a new model for data center sustainability, combining water reuse infrastructure with artificial intelligence to cut freshwater demand at scale. The partnership focuses on deploying reclaimed water systems at Amazon’s data centers, starting with a flagship site in Mississippi scheduled to be operational in 2027.

The facility will become the first Amazon data center in the state to use reclaimed water for cooling. Veolia will install modular, containerized treatment systems that convert wastewater effluent into industrial-grade cooling water. The system draws from nearby wastewater treatment plants and other available sources, reducing reliance on potable water and groundwater reserves.

Once fully operational, the project is expected to reuse more than 83 million gallons of potable water annually. This is equivalent to the yearly water consumption of roughly 760 U.S. homes. The reclaimed volume effectively replaces what the data center would otherwise extract from local water supplies, easing pressure on regional resources.

Scaling Water Reuse as Infrastructure Demand Grows

The initiative reflects a broader shift in how hyperscale data centers manage environmental risk. As AI workloads expand, water use for cooling has become a growing concern for regulators and communities. The Mississippi project demonstrates how water reuse can be embedded into core infrastructure design rather than treated as an afterthought.

Veolia’s modular approach allows for replication across geographies. The containerized systems can be deployed rapidly and adapted to local conditions, offering a scalable solution for data centers operating in water-stressed regions. This aligns with Veolia’s Data Center Resource 360 offering, which focuses on optimizing water, energy, and waste management for next-generation facilities.

The partnership also supports Amazon’s goal to be water positive in its direct data center operations by 2030. That target requires the company to return more water to communities than it consumes, making reuse and replenishment strategies central to its operational model.

AI Drives Efficiency in Water Treatment Operations

Beyond infrastructure, the collaboration integrates Amazon Web Services capabilities into Veolia’s water treatment processes. AI and machine learning tools will enable real-time monitoring, predictive maintenance, and operational optimization across treatment systems.

These tools are designed to improve efficiency while reducing resource consumption. Automated analytics will provide actionable recommendations for operators, while optimized inventory management and maintenance workflows aim to lower costs and improve reliability.

“Through our collaborative work on AI applied to water treatment, Veolia will be able to further drive innovation and enhance the efficiency of on-site teams — thanks to automated analytics, actionable recommendations, optimized inventory management, and streamlined maintenance. We’re pleased to join forces with Veolia to advance more sustainable water use strategies while helping it pioneer more efficient water treatment solutions for customers worldwide,” stated Will Hewes, Amazon’s Global Water Stewardship Lead.

For Veolia, the integration of AI strengthens its position as a technology-driven water solutions provider. The company is increasingly combining digital tools with physical infrastructure to address resource constraints in industrial and municipal systems.

RELATED ARTICLE: Amazon Tests Next-Gen Decarbonization Strategies at New Indiana Facility

We are delighted to collaborate with Amazon to secure its water needs in Mississippi while protecting the local community’s resources — this is environmental security in action. By combining Veolia’s water expertise with Amazon’s AI technologies, we’re transforming data centers into engines of innovation for sustainability. This solution builds on our newly launched offering for data centers,” highlighted Estelle Brachlianoff, Chief Executive Officer at Veolia.

Estelle Brachlianoff, Chief Executive Officer at Veolia

Implications for Policy, Investment and ESG Strategy

The project arrives as policymakers and investors intensify scrutiny on data center resource use. Water availability is emerging as a key constraint for expansion in several regions, alongside energy demand and grid capacity. Solutions that reduce freshwater dependency could influence permitting decisions and shape future regulatory frameworks.

For investors, the model offers a pathway to de-risk infrastructure assets. Water-efficient operations can improve resilience, lower operating costs, and strengthen ESG performance metrics. As capital flows into digital infrastructure accelerate, sustainability-linked design is becoming a competitive differentiator.

The Mississippi deployment also highlights the growing intersection of AI and environmental management. By embedding intelligence into physical systems, companies can unlock efficiency gains that extend beyond water into energy and materials.

A Blueprint for Global Data Center Sustainability

As demand for cloud and AI services continues to rise, the pressure on natural resources will intensify. The Veolia-Amazon collaboration provides a practical example of how industrial partnerships can address these challenges at scale.

The ability to reuse water, optimize operations with AI, and deploy solutions globally positions this model as a potential blueprint for the sector. For executives and policymakers, the message is clear: sustainable data center growth will depend on integrating resource management into the core of infrastructure strategy, not treating it as a secondary concern.


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