The Agentic Network — NVIDIA on the full-stack path to telecom autonomy

NVIDIA's Chris Penrose, Global Head of Business Development for Telco, lays out a full-stack view of telecom autonomy that goes well beyond adding AI to existing workflows, spanning telco-trained models, guardrails, simulation and distributed AI infrastructure. Recorded at DTW Ignite in Copenhagen, this conversation frames the agentic network as both an operating model and an infrastructure strategy. Penrose explains why automation is the starting point rather than the end state, how NVIDIA is working to de-risk agentic action before it reaches the live network, and why telcos sit on assets that could make them players in the emerging AI token economy. We cover: The full autonomous network stack, from foundational models that speak telco to agentic workflows and digital twins Why nobody will trust an AI recommendation straight into a live network, and how guardrails and sandboxes change that Using NeMo Guardrails and OpenShell to keep agent behavior governed, auditable and predictable How simulation work with Infovista, VIAVI and others cuts market-wide modelling from hours to seconds The AI Grid concept and why land, power, central offices and cell sites matter in the inference era The AT&T, Cisco and NVIDIA edge collaboration bringing near-real-time inference closer to the data Read the full article on RCR Wireless News. #AgenticAI #NVIDIA #Telecom #DTWIgnite #AutonomousNetworks #EdgeComputing #AIInfrastructure #DigitalTwin #AIGrid