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AI is shifting from training to inference, and the end-user experience is now the business imperative. RCRTech's AI Infrastructure Forum returns to ask: can telcos, hyperscalers, cloud and colocation providers compete or partner their way through this shift? And once speed and responsiveness become the metric that matters, what has to change, across compute, fabric, power and chips, to deliver it? 

We'll dig into the pressures testing the ecosystem, from grids to fiber backhaul to the silicon roadmap, and close by asking what it takes to scale responsibly, from data sovereignty to community trust. Join us to question what's shaping AI's backbone — everywhere it lives.

From competition to partnership: Telco, hyperscaler, cloud and colo roles as inference reshapes who builds and who benefits.

Actual versus perceived performance: Time-to-First-Token, model design, infrastructure and the end-user experience behind every inference decision.

The next AI fabric: Scale-across architecture, fibre, optical interconnect, rack-to-region connectivity.

Power and energy at scale: Grid capacity, cooling, retrofit versus greenfield, sustainability.

Governance and the social licence to scale: Policy, sovereignty, community trust, environmental scrutiny.

Planning for the silicon roadmap: GPU and XPU generations, build versus buy, capital planning.

Data centers

Developers and operators

Energy providers

IT infrastructure and cloud providers

"Well worth the couple of hours. Highly recommend”
Shankar Kasturirangan, Director, Bell Labs Consulting commenting on a previous RCR event