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As Artificial Intelligence (AI) adoption accelerates and data volumes grow exponentially, the infrastructure behind our digital world is being pushed to accommodate them. At Cologix, one way we are ensuring that our infrastructure exceeds our customers’ needs with AI workloads is through our we are focus on advancing liquid cooling while staying committed to sustainable practices.
Advanced cooling solutions
Traditional air-based cooling systems are struggling to keep up with high-density workloads, particularly for AI deployments. As liquid cooling emerges as an energy-efficient, lower-impact alternative, Cologix’s design and development teams are working closely with customers to integrate these innovative cooling technologies into new and existing builds.
Liquid cooling offers sustainability related benefits, such as:
- Energy Efficiency: When designed from the outset, liquid-to-chip (LTC) systems can be more than 25% more efficient than legacy air-based solutions. Specifically, this can result in using up to 25% less power to cool the same server.
- Water Stewardship: All our liquid cooling systems operate in closed-loop configurations, eliminating the need for evaporative cooling towers, and significantly reducing water usage. In 2024, our Water Usage Effectiveness (WUE) decreased year-over-year, reaching an average of 0.203 across our facilities — well below the industry average of 1.8.
Infrastructure Optimization: While new equipment (e.g., Coolant Distribution Units, additional Uninterruptible Power Supply (UPS) for cooling) adds complexity, we also remove high-impact systems like large chillers, resulting in a net reduction in operational emissions.
Designed for Flexibility and Accountability
Based on customer needs, we deploy a multi-loop liquid cooling strategy using a combination of:
- Liquid-to-Chip (LTC): Coolant is delivered directly to the chip (CPU or GPU), pulling heat away at the source—ideal for AI and other compute-intensive applications.
- Liquid-to-Air (LTA): Heat is transferred from the liquid to surrounding air via a heat exchanger —a hybrid approach that supports mixed environments.
- Liquid-to-Liquid (LTL): Heat is passed between two separate coolant loops, isolating customer-specific systems, while keeping the facility loop stable and efficient.
Each deployment is tailored to customer workloads and site conditions. In our newest builds, we design these configurations from the ground up, maintaining a mix of air cooling to optimize long-term reliability. This hybrid approach reflects the transitional state of the industry and informs how we prepare our infrastructure to best respond to cooling needs today, as well as ready it for future requirements.
Risk Mitigation and Systems Resilience
When using large amounts of liquid for cooling — whether it’s water or coolant — it’s essential to have strong safety measures in place. That is why Cologix uses automated valves, pressure sensors and leak detection systems that alert us to any unexpected changes. When a customer owns or manages part of their own cooling loop, we install additional leak detection systems that notify both our team and the customer. Additionally, our systems are designed with built-in redundancy — meaning we can continue running while making repairs. We place high importance on reliable cooling systems to maintain uptime, prevent overheating and ensure operational stability for our AI customers.
Future Proofing Responsibly
For Cologix, incorporating advanced liquid cooling technology offers more than operational savings — it represents a strategic opportunity to meet customer expectations, mitigate Cologix’s impact on the environment and future-proof for an evolving digital infrastructure. Our commitment to our customers and sustainable development ensures that as the digital world grows, we will grow with it — efficiently, innovatively and purposefully.
Liquid Cooling FAQs
Why is liquid cooling becoming essential for AI workloads?
AI applications generate intense heat due to high-density computing, outpacing what traditional air-based cooling can handle. Liquid cooling — especially Liquid-to-Chip (LTC) systems — pulls heat directly from the processor, delivering efficient, targeted thermal management ideal for compute-intensive AI deployments.
How does Cologix’s liquid cooling strategy support diverse workloads?
Cologix uses a flexible multi-loop cooling architecture — LTC, Liquid-to-Air and Liquid-to-Liquid — tailored to each customer’s needs. This hybrid approach supports legacy systems and modern AI infrastructure, maximizing efficiency and long-term reliability across varied environments.
What makes Cologix’s liquid cooling solution more sustainable?
Cologix’s closed-loop systems eliminate the need for evaporative cooling towers and significantly reduce water usage. In 2024, Cologix achieved an average water usage effectiveness (WUE) of 0.203 across its facilities, far below the industry average of 1.8. It also removed high-impact systems like large chillers, resulting in a net reduction in operational emissions.
How does Cologix ensure liquid cooling systems are safe and resilient?
Cologix integrates automated valves, pressure sensors and dual-layer leak detection to protect customers’ infrastructure. Systems are built with redundancy to maintain uptime even during maintenance, ensuring operational continuity for AI environments without compromising reliability.
How is Cologix future-proofing infrastructure for evolving digital demands?
Cologix designs liquid cooling systems into new builds from the ground up, aligning with the industry’s shift toward high-performance, sustainable infrastructure. Its proactive approach helps customers stay ahead of rising AI demand while meeting environmental goals with accountability.
