Cooling Engineering
Once constraints are understood, engineering decisions can be made with precision. Aoruora supports the design and specification of cooling systems suited to high-density AI and HPC deployments — from architecture definition through to implementation readiness.
From assessment findings to deployable solutions.
Liquid Cooling Design
Architecture definition for direct-to-chip and hybrid liquid cooling systems matched to rack power density and facility constraints.
CDU Selection
Evaluation and specification of Coolant Distribution Units based on capacity, redundancy, fluid compatibility and operational requirements.
Cooling Loop Engineering
Primary and secondary loop design, including flow distribution, pressure management and thermal transfer optimization.
Rack Deployment Planning
Layout and integration planning for high-density racks, ensuring cooling delivery matches compute placement.
Cooling Architecture
End-to-end cooling system architecture that balances performance, reliability, maintainability and future expansion.
Future Expansion Readiness
Design provisions that allow staged density increases without fundamental redesign of the cooling infrastructure.
Engineering recommendations follow directly from assessment findings. The goal is not to prescribe a single product, but to define a coherent thermal architecture that can be implemented with appropriate technology partners.
From assessment to engineering.
Discuss cooling architecture options for your AI deployment.