Where the entire AI ecosystem connects

Virtual Program | December 1st-5th EST

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The appetite for AI is insatiable—and it's only growing. As the ecosystem evolves at lightning speed, the demand for robust, scalable and future-ready infrastructure has never been greater.

That's why RCRTech is launching AI Infrastructure Week the first week of December: a dedicated experience to explore the technologies, tools, strategies and partnerships powering the next generation of intelligent systems. From compute to connectivity, from data pipelines to deployment frameworks—this is where the backbone of AI innovation takes center stage.

Throughout the week, RCRTech will deliver a curated program of insights, discussions and showcases, including:

Central to AI Infrastructure Week is the AI Infrastructure Forum, a virtual event bringing together 1000+ professionals from across the ecosystem

Event Agenda

RCRTV presents exclusive video interviews. Topics include AI economics, edge AI, infrastructure build-out and AI-driven business strategies

Video Interviews

Don't miss RCRTech's dedicated series of deep-dive webinars on a variety of topics, including "AI Infrastructure as a Growth Catalyst for Telco Operators"

Deep-Dive Webinars

Brought to you as part of AI Infrastructure Week

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 on December 2nd 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 RCRTech’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.

COMPANIES IN ATTENDANCE

Virtual Event Key Themes

◦ Economic and Business Models for AI Infrastructure: Explore how AI infrastructure is creating new revenue streams, reshaping CAPEX/OPEX planning, and enabling services such as Energy-as-a-Service (EaaS) and GPU-as-a-Service (GPUaaS).

◦ Scaling Compute, Networking and Storage: From legacy data centers to greenfield builds, learn strategies for upgrading and designing infrastructure that meets the exponential growth in AI workloads.

◦ Sustainable and Energy-Efficient AI: Address the energy dilemma of AI: power sources, cooling architectures, operational optimization, and regional regulatory disparities, ensuring high performance without compromising sustainability.

◦ Networking, Interconnects, and Data Movement: Delve into high-speed fabrics, optical and chip-to-chip interconnects, multi-site synchronization, and testing strategies to keep AI data flowing efficiently across clouds, edges, and data centers.

◦ Operational Excellence and Orchestration: Understand how orchestration platforms, AI-driven analytics, and workflow standardization transform raw infrastructure into a reliable, repeatable “AI Factory,” while enabling edge and regional deployments.

◦ Inference and the Edge: Explore how inference shifts AI closer to users—into regional data centers, gateways, and devices—reducing latency and power use. Address challenges of synchronization with centralized training, data governance at the edge, and new opportunities for operators and enterprises to deliver AI-as-a-Service.