AI demand is growing at a pace never seen before. Training massive models have already stretched data centers, chipsets, power grids, and supply chains. Inference, while less power-hungry and increasingly distributed to the edge and devices, is not a silver bullet. It introduces new challenges in synchronization, data management, and operational balance between centralized clusters and edge deployments. The urgency is clear: AI must scale sustainably, efficiently, and intelligently.
Through expert presentations, cross-industry panels, and analyst insights, the forum explores the entire lifecycle of AI infrastructure—from energy-intensive training to distributed inference. We’ll examine strategies for upgrading legacy facilities, deploying greenfield builds, orchestrating edge environments, and making smarter choices about where data and workloads belong. We’ll also address the regulatory, political, and societal pressures shaping how AI infrastructure evolves worldwide.
At RCR’s AI Infrastructure Forum 2025, we bring together the ecosystem to define the roadmap for building AI’s backbone and confront this defining challenge: scaling AI sustainably while balancing the demands of training and inference.
