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AI is shifting from training to inference, and two pressures now define the business: the end-user experience and the return on investment. RCR’s AI Infrastructure Forum returns to ask: can telcos, hyperscalers, data centres, cloud and colocation providers compete or partner their way through this shift, and who captures the value as tokenomics, the cost of producing each token against what it earns, becomes the measure of return? 

Once speed and responsiveness become the metric that matters, what has to change across compute, fabric, power and chips to deliver it, and at what cost and time-to-revenue? We’ll dig into the pressures testing the ecosystem, from grids and up-front capital to fibre backhaul and the silicon roadmap, and close by asking what it takes to scale responsibly, from data sovereignty to community trust.  Join RCRTech at AI Infrastructure Forum to question what’s shaping AI’s backbone, everywhere it lives.

Tokenomics in a new ecosystem: How partnerships between data centre, telco, hyperscaler, cloud and colo players shape cost per token, time to revenue, utilisation, and monetization

From performance to revenue: Time-to-First-Token, model design, infrastructure and the end-user experience, and their impact on revenue and time to revenue.

The next AI fabric: Scale-across architecture, fibre, optical interconnect, rack-to-region connectivity, cost and speed of scaling

Power and energy at scale: Time to power, up-front commitments and the cost of missing them, grid capacity.

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

Planning for the silicon roadmap: Chip generations, build versus buy, capital planning and cost per token.

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