1
Right-Sized Resilience
Design for appropriate redundancy (N+1), ensuring mission-critical uptime without hyperscale overbuild costs.
Within Datacentre
Data Centre Design
& Optimisation
A robust, vendor-agnostic framework for small to mid-scale data centre design. From server rooms to mission-critical facilities.
INFRASTRUCTURE LAYERS
optimiseD
Power Architecture
Dual feeds • N+1 UPS
99.99%
Cooling Systems
Hot/cold aisle • PAC
PUE 1.4
Rack & Cabling
Structured • Labeled
READY
Capacity Planning
Predictive modeling
ACTIVE
Abstract
Mission-Critical Infrastructure
As organisations increasingly depend on digital infrastructure for critical economic, governmental, and social functions, server rooms have evolved into mission-critical facilities requiring extreme power density, superior cooling, absolute fault tolerance, and total operational predictability.
Framework
Five Design Principles
2
Workload-Aware Engineering
Let AI, video analytics, and high-throughput workloads drive design parameters rather than generic server counts.
3
Modularity
Infrastructure scaled in discrete, testable increments without introducing single points of failure.
4
Operational Clarity
Intuitive layout supporting rapid fault diagnosis, safe maintenance, and reduced MTTR.
5
Lifecycle Efficiency
optimisation over entire operational lifespan: PUE, maintenance complexity, and sustainable costs.
Power Systems
Power Architecture
Effective power delivery is the foundation of data centre reliability, ensuring stable, clean, and continuously monitored electrical supply.
Power Sourcing
Ensuring stable, redundant electrical supply:
- Dual utility feeds – Geographically diverse for single-point-of-failure mitigation
- UPS systems – Sized for graceful shutdown and short-term autonomy
- Intelligent PDUs – Per-rack monitoring for proactive capacity management
Redundancy Planning
Resilience through appropriate redundancy:
- N+1 UPS – Single component failure doesn't interrupt critical loads
- Segregated loads – Critical and non-critical power paths separated
- Fault isolation – Enhanced maintenance and streamlined operations
AI & High-Density
Accommodating asymmetric GPU workloads:
- Burst power demand – Overhead for rapid, high-amplitude spikes
- GPU thermal envelopes – Integrated power and cooling strategy
- Future density – Reserve capacity for predictable increases
Thermal Management
Cooling Strategy
Efficient thermal management requires precise airflow design and targeted cooling technologies for high-density IT equipment.
Airflow Design
Preventing hot/cold air mixing:
- Hot/Cold Aisle Containment – Physical segregation maximizes efficiency
- Front-to-Back Discipline – Strict adherence to standard cooling path
- Recirculation Prevention – Sealed cutouts and blanking panels
Cooling Technologies
Aligned with power density requirements:
- Precision AC (PAC) – Precise temperature and humidity control
- In-Row Heat Exchangers – Localized cooling for dense GPU racks
- Environmental Monitoring – Real-time sensors enable predictive adjustment
Rack Layout
Standardisation and organisation:
- Consistent standards – Uniform depth and load ratings
- Infrastructure separation – Compute, storage, networking isolated
- Airflow-aligned cabling – Dedicated pathways prevent obstruction
optimisation
Capacity Planning & Metrics
Continuous, iterative capacity planning through predictive modeling based on real-time operational data.
Power Utilisation (PUE)
Track ratio of total facility power to IT equipment power for efficiency analysis
Rack-Level Density
Monitor power per rack to identify and manage high-density thermal zones
Cooling Headroom
Measure remaining cooling capacity relative to current heat load
Workload Growth Velocity
Track demand increase rate to drive infrastructure upgrade timelines
Ready to Optimise Your Data Centre?
Let's discuss how this framework can transform your infrastructure from informal server rooms to professionally engineered, mission-critical facilities.