Monetizing the Edge: A Blueprint for AI-Ready RAN Infrastructure

The telecommunications landscape is shifting as accelerated computing becomes mainstream. This transformation unlocks the potential to monetize the telco edge with AI applications, by offering GPU infrastructure to internal and 3rd party users while simultaneously running 5G/6G Radio-Area-Network (RAN) software. This unified approach is no longer a future concept—it's a critical business imperative for creating new revenue streams and monetizing the edge. But how can you build a platform that can generate new revenue while meeting the strict demands of RAN? Join experts from Supermicro and Aarna.ml for a deep dive into a comprehensive reference architecture for AI RAN distributed inference. We will unveil a complete, cloud-native solution designed to transform your edge sites into dynamic, monetizable AI platforms that can also run RAN software. In this webinar, you will learn about: • The Case for AI RAN and Edge AI: We will explore the rationale for distributed edge inference and why this will be a tremendous opportunity for telcos. • Solving Multi-tenancy at the Edge: How Aarna.ml's GPU Cloud Management Software (CMS) provides the crucial layer for secure, isolated, and on-demand resource allocation. • The Architecture Blueprint: A detailed look at a proven hardware and software architecture, featuring Supermicro's NVIDIA GH200 Grace Hopper systems, integrated with a unified enterprise AI and infrastructure management platform. • The Path to Monetization: Discover how this architecture enables you to repurpose idle RAN capacity for new revenue streams, from enterprise AI to generative AI services at the edge. This session is ideal for Telco Solution Architects, Edge AI Infrastructure leaders, Network Architects, and Platform Engineers responsible for designing and deploying the next generation of converged AI and RAN infrastructure.