Artificial intelligence is increasingly integrated into the services we consume and those on which enterprises rely. This will not only change how we interact with our devices and the digital world but also impact how we build radio access networks (RAN), the critical infrastructure that powers wireless services. On one hand, AI applications will benefit from enhanced RAN capabilities and, on the other, RAN itself will benefit from AI. A value-creating fusion of AI and RAN is emerging: AI-RAN.
This TelecomTV webinar brings together experts from Nokia and NVIDIA to explore how AI-RAN is reshaping mobile networks. GPU-accelerated AI-RAN enables the transition from 5G to AI-native 6G, helping mobile network operators benefit from the fusion of AI and RAN. It scales up accelerated AI computing for highly efficient 5G-Advanced and AI-native 6G (AI-for-RAN), leveraging computing and infrastructure synergies (AI-and-RAN) and unlocking new monetisation opportunities (AI-on-RAN).
The discussion will, in particular, highlight what telecom providers need to capture the business opportunity unlocked by AI-RAN and the growing importance of programable networks to enable the connection of network capabilities with enterprise applications, creating opportunities for cross-industry innovation.
Topics that will be covered are:
- How the Nokia–NVIDIA partnership will reshape future networks: A look at how NVIDIA’s recent $1bn investment in Nokia marks a deep integration of GPUs in the radio access network, bringing high-performance computing to the edge and accelerating the path to 6G leadership.
- Advances in NVIDIA’s infrastructure for RAN: Expected breakthroughs that will lift RAN performance, from real-time predictive maintenance to ultra-low-latency inference for next-generation services.
- Enhancing network APIs with intelligent algorithms: How the convergence of AI, edge and network technologies strengthens quality-on-demand (QoD) capabilities, giving operators new ways to deliver consistent performance for latency-sensitive use cases, such as remote surgery or live broadcasting.
- Monetisation opportunities with AI-RAN: New revenue opportunities are emerging from the Camara and GSMA Open Gateway frameworks, including dynamic pricing models and advanced geolocation features, along with the associated privacy and security considerations.
- Ensuring interoperability in an AI-native 6G ecosystem: How edge intelligence can help remove integration barriers in multivendor environments, so features such as QoD and slicing can operate reliably across global networks.
