This research explores how telecommunications infrastructure can solve the critical latency challenges that prevent widespread adoption of real-time AI applications.

• Identifies latency as the primary bottleneck for customer-facing AI deployments
• Proposes telco-based solutions including edge computing and specialized caching strategies
• Outlines split-inference architectures that balance cloud scalability with edge performance
• Addresses privacy and security considerations in distributed AI deployment

For engineering teams, this approach offers a practical framework to deliver interactive AI experiences without the performance penalties of traditional cloud-only solutions.

Solving AI Foundational Model Latency with Telco Infrastructure