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The roundtable focus areas.

Two simultaneous roundtables. Thirty participants each. No vendor pitches. One private lunch, bringing both groups together. Real conversations. Actionable outcomes.

1. Powering AI at scale - practical strategies for today’s data center energy challenges.

The real barrier to scaling AI isn't compute capacity, it's the ability to deliver reliable, cost-effective power at the pace AI demands. Grid queues are getting longer, energy costs are volatile and high-density clusters are pushing traditional infrastructure to its limits. This workshop explores what operators can do about it right now: on-site generation, microgrids, new distribution architectures and smarter energy management strategies.

2. Delivering AI at scale - navigating the strategic shift toward edge-based inferencing.

The shift from centralised training clusters to distributed, edge-based inferencing is accelerating — driven by the need for lower latency, reduced backhaul traffic, and faster decision-making. But moving AI closer to users and devices introduces real architectural, operational and investment challenges that organisations are only beginning to work through. This workshop examines where inferencing should run, how edge sites fit into the broader AI ecosystem and what infrastructure is required to deliver consistent performance across distributed environments.

Roundtable partners.

Thank you to our sponsors, association, industry and media partners.