Abstract

As telecommunications evolves toward 6G, Radio Access Networks (RAN) will fundamentally transform application architecture beyond today's approach of endpoints calling LLMs on remote data centers. This presentation examines three critical software development challenges for the next decade:

• Real-time AI at the Edge: Moving from cloud-dependent inference to distributed processing meeting RAN's strict latency requirements.
• Multi-tenant Resource Optimization: Transitioning to shared platforms where AI workloads coexist while maintaining service-level agreements.
• Federated Learning and Privacy: Shifting from centralized training to federated approaches preserving privacy across distributed networks.

The goal is sharing a roadmap for AI-native infrastructure where intelligence lives at the network edge.

Bio

Alisson Sol is a hands-on engineering leader with deep expertise in distributed systems, AI, and scaling products to millions of users at top tech companies. More info at https://AlissonSol.com

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