Inside AI Infrastructure: Powering Innovation at Speed and Scale in Australia

As AI adoption accelerates across Australia – triggered by a spike in proof of concepts and use cases – data centre demand is heightening in parallel.

Feeding insatiable AI appetite is no easy task however.

The data centre is delivering on the promise of compute-intensive workloads at an unrelenting pace, highlighting the need for end-to-end infrastructure modernisation. But is this an in-house or outsource approach?

Today, businesses are evaluating how best to power AI workloads at speed and scale, zoning in on the core foundations required to run LLMs aligned to data sovereignty concerns. This is now a question of control, capability and cost.

This Executive Roundtable in Sydney – in association with Moxie Insights, ICT Networks and HPE – evaluated the infrastructure underpinning AI workloads, tackling data centre challenges while outlining industry best practice.

Key discussion points included:

• Assessing current AI infrastructure priorities
• Understanding ongoing AI workload challenges
• Dissecting LLMs infrastructure requirements
• Debating in-house vs. outsource models
• Highlighting industry best practice in AI innovation

View Moxie Insights – Executive Roundtable in photos: