AI Data Centre Consulting
Engineering Strategy for AI Compute Densities
Traditional data center architectures designed for 5–10 kW per rack cannot handle modern AI training clusters requiring 40–100 kW per rack. We advise universities, enterprises, and regional operators on thermal engineering, liquid cooling retrofits, and electrical substation planning.
✦ Power & Substation Sizing
Grid capacity analysis, UPS battery backup redundancy, and dynamic load-shifting strategies for intensive GPU workloads.
✦ Liquid & Direct-to-Chip Cooling
Design of closed-loop liquid cooling distribution units (CDUs) to achieve sub-1.15 Power Usage Effectiveness (PUE).
✦ High-Speed InfiniBand Networking
Non-blocking RoCEv2 and InfiniBand spine-leaf network topology design for low-latency inter-GPU tensor synchronization.
✦ Total Cost of Ownership (TCO) Modeling
Comprehensive 5-year capital expenditure (CapEx) and operational expenditure (OpEx) financial modeling for institutional stakeholders.