Operators need telco-trained models, guardrails, simulation and distributed AI infrastructure to move from network automation to new AI-era services. Speaking at DTW Ignite in Copenhagen, Penrose described NVIDIA’s work with telecom operators and partners as a full-stack effort to accelerate the autonomous network journey. NVIDIA also pointed to SoftBank’s use of NeMo Safe Synthesizer and NeMo Anonymizer to generate privacy-preserving telecom datasets for fine-tuning large telecom models and building specialized network agents. The second half of NVIDIA’s telecom thesis is about revenue. Operators need agents that understand telecom, guardrails that make them safe, simulations that make them trustworthy and distributed AI infrastructure that makes them monetizable.