Why EWE for AI Data Centers?
We Design & Build Data Centers That Deliver:
- Ultra-Low PUE: Consistently achieving PUE ≤ 1.25 (many projects targeting 1.15–1.20) through advanced hybrid liquid cooling, adiabatic dry coolers, and intelligent free-cooling strategies.
- Industry-Leading Redundancy: True N+1 and 2N architectures on both power and cooling systems — concurrent maintainability standard.
- Liquid Cooling Expertise: Direct-to-Chip (DTC), Rear Door Heat Exchangers, and fully integrated hybrid rack systems (including Daikin DDC enclosures) with integrated “per rack” fire protection. Optional CDUs with negative pressure technology for “leak proof” direct to chip cooling loops.
- Minimal Impact: We design our system with dry-adiabatic hybrid cooling technology, which requires minimal water supply, and use solar-assisted on-site power generation to minimize the impact on local utilities. Sustainability is our focus.
- Southeastern US Focus: Deep experience with regional climate advantages (high free-cooling hours in TN, KY, GA, AL, MS, NC, SC, FL, LA, AR, MO, IL).
AI data centers are not conventional data centers with higher-density racks. They are a different class of facility, with different demands on power distribution, cooling strategy, redundancy, controls, commissioning, and long-term maintainability. At E&W Electrical Solutions, we design and build these environments with the level of precision required to support high-performance compute, liquid-cooled infrastructure, and mission-critical uptime.
Our team understands that every decision in an AI data center affects performance. Utility service capacity, medium voltage distribution, UPS topology, generator redundancy, heat rejection, water usage, rack-level cooling, controls integration, and commissioning all have to work together as one system. We bring these disciplines together through a design-build approach that keeps the project practical, coordinated, and focused on measurable outcomes.
We Design and Build Data Centers That Deliver
Ultra-Low PUE
Power usage effectiveness is one of the clearest indicators of how efficiently a data center converts energy into computing capacity. For AI workloads, that benchmark becomes even more important because power density and cooling demand are significantly higher than in traditional enterprise facilities.
We design systems that consistently target PUE values at or below 1.25, with many projects engineered toward the 1.15 to 1.20 range. That level of efficiency requires more than efficient equipment. It takes a coordinated strategy involving hybrid liquid cooling, adiabatic dry coolers, intelligent free-cooling logic, optimized pumping systems, and controls that respond to real operating conditions.
In the Southeast, where climate, humidity, and seasonal temperature swings can vary widely, our team designs cooling plants that take full advantage of available free-cooling hours while maintaining the stability AI infrastructure requires.
Industry-Leading Redundancy
Reliability is built into the architecture from the beginning. We design true N+1 and 2N configurations for both power and cooling systems, with concurrent maintainability as a standard planning objective. That means critical infrastructure can be maintained, serviced, or isolated without taking the data center offline.
On the power side, this may include redundant UPS systems, generator capacity, switchgear lineups, paralleling controls, medium voltage distribution, and advanced monitoring. On the cooling side, it may include redundant chillers, pumps, dry coolers, CDUs, controls, and fluid distribution pathways. The goal is not just backup capacity. The goal is a facility that can continue operating through maintenance events, equipment failures, and changing load conditions.
Liquid Cooling Expertise
AI data centers demand advanced cooling methods because traditional air-only cooling is often not enough for modern high-density compute. E&W Electrical Solutions works with liquid cooling strategies that support today’s accelerated computing environments, including Direct-to-Chip cooling, rear door heat exchangers, in-row CDUs, and integrated hybrid rack systems.
We are experienced with rack-level solutions, including fully integrated hybrid enclosures such as Daikin DDC systems with per-rack fire protection. For facilities requiring direct liquid cooling, we can also support optional CDU configurations using negative pressure technology to help reduce leak risk in direct-to-chip cooling loops.
Our approach is practical and system-focused. We look at the full thermal pathway, from the chip to the rack, from the rack to the CDU, from the CDU to the plant, and from the plant to the exterior heat rejection system. That allows us to design cooling infrastructure that supports high-density deployment without creating unnecessary complexity for operations teams.
Minimum Impact on Local Water Supply and Utility Grids
AI data centers need to be powerful, but they also need to be responsible neighbors. We design systems that reduce impact on local water supplies and utility infrastructure wherever possible.
Our cooling designs can incorporate dry-adiabatic hybrid technology, which uses significantly less water than traditional evaporative cooling systems while still improving performance during peak temperature periods. We also evaluate solar-assisted on-site power generation and related electrical infrastructure strategies to help reduce strain on local utilities.
Sustainability is not treated as a separate feature. It is part of the engineering process. Efficient cooling, intelligent power design, reduced water demand, and resilient infrastructure all contribute to a stronger long-term facility.
Southeastern US Focus
The Southeast presents real opportunities for AI data center development, but it also requires regional experience. E&W Electrical Solutions understands how to design around the climate, utility conditions, permitting environment, and construction realities across Tennessee, Kentucky, Georgia, Alabama, Mississippi, North Carolina, South Carolina, Florida, Louisiana, Arkansas, Missouri, and Illinois.
High free-cooling hours in many parts of the region can support efficient operation when the system is designed correctly. At the same time, humidity, summer peak temperatures, storm resilience, and utility coordination must be addressed early. Our regional experience helps us plan facilities that are efficient, constructible, and reliable in real-world operating conditions.