Filter by categories
Filter by dates
Busducts: Engineering Deep Dive - Types, Features, and Selection Criteria
engineering, infrastructure Albert Wong engineering, infrastructure Albert Wong

Busducts: Engineering Deep Dive - Types, Features, and Selection Criteria

The engineering selection of busducts comes down to six critical decisions: type (cast resin preferred for space and protection, sandwich for cost, air-insulated only where space is unconstrained); phase segregation (mandatory for mission-critical safety and fault containment); joint design (clamped/spring-loaded over bolted for reliability, with expansion joints every 30–50 metres); 200% neutral (essential when harmonic content exceeds 33%); tap-off boxes (plug-in/hot-swappable for dynamic environments, bolt-on for fixed high-current loads); and conductor material (copper for space-constrained, maximum reliability; aluminium for weight, cost, and sustainability, with proper bi-metal contacts).

Read More
The Strategic Decision – Busducts vs. Cabling in Modern Data Centres
engineering, infrastructure Albert Wong engineering, infrastructure Albert Wong

The Strategic Decision – Busducts vs. Cabling in Modern Data Centres

Above 600A, busducts deliver 15-30% lower TCO than cabling, install 90% faster, save 3-4 weeks of project time, free underfloor space for cooling, and enable no-downtime reconfiguration via hot-swappable tap-offs - all while offering superior fire safety. For high-density, future-proof data centres, busducts are the default choice; cabling suits only low-amperage, static runs.

Read More
On-premise AI inference is on the rise. Can Australian enterprises make it work?
operations, infrastructure Albert Wong operations, infrastructure Albert Wong

On-premise AI inference is on the rise. Can Australian enterprises make it work?

Australian enterprises want to run AI inference on-premise - but the infrastructure must deliver. According to Uptime Institute, the key is sustained hardware utilisation above 65%, yet most organisations fall short. Model choice, cooling demands, and data sovereignty add further complexity.

The good news? Smaller inference models can run in existing facilities with minimal upgrades. For those ready to scale, modular solutions - from compact edge units to full-scale prefabricated data centres - offer a clear path forward, including locally manufactured options with flexible equipment choices and comprehensive service support.

On-premise AI isn't just possible - it's a strategic advantage.

Read More