The telecommunications industry is undergoing a structural shift. Mobile Network Operators (MNOs) are moving from a connectivity-centric model to one driven by distributed intelligence, giving them a unique opportunity to capture the value of AI. However, this shift also comes with some challenges.

Deploying AI at the edge requires secure, automated, and reliable infrastructure. Many current edge deployments struggle with integration, telemetry, and operational efficiency, limiting operators’ ability to fully capitalize on AI’s potential.

This white paper provides a practical reference architecture for Telco AI Factories, tailored for operators looking to industrialize AI while maintaining sovereignty and operational excellence. You’ll learn:

• How to design multi-tenant AI Factories that combine HPC acceleration with cloud-native orchestration.
• Methods to integrate 5G UPF and AI inference engines seamlessly at the edge.
• Approaches to normalize telemetry and manage heterogeneous workloads (vRAN + AI) on shared hardware.
• Operational workflows and technical specifications that translate business goals—data sovereignty, latency reduction, and infrastructure monetization—into concrete design principles.
• How OpenNebula’s zero-overhead virtualization and automated service orchestration can simplify complex edge operations.

Download this white paper to discover how to transform your network into a sovereign, AI-ready platform that delivers low-latency AI services, simplifies multi-tenant operations, and unlocks new revenue opportunities at the edge.