NVIDIA is advancing the telecommunications industry transition from task-based automation to fully autonomous operations at TM Forum DTW Ignite 2026, currently underway in Copenhagen this week. Demonstrating a comprehensive platform for trusted, round-the-clock AI agents, NVIDIA is showcasing how integrated synthetic data pipelines, specialized domain models, secure agent runtimes, and GPU-accelerated simulation can enable self-healing networks and proactive service management. The foundation of this autonomous stack relies on high-quality, privacy-compliant training data. With network and customer records posing significant regulatory hurdles, operators are adopting synthetic data generation to safely scale model training. SoftBank Corp. is leveraging NVIDIA NeMo Safe Synthesizer and Anonymizer to create privacy-preserving datasets that mirror real-world network performance, enabling the fine-tuning of specialized telecom models and the development of dedicated network agents. Deploying these models requires robust runtime environments that enforce strict governance and operational predictability. NVIDIA NemoClaw blueprints and the OpenShell secure runtime provide policy-based guardrails and sandboxed access to critical infrastructure. Industry partners are already piloting long-running autonomous agents across multiple verticals. AdaptKey is deploying security-hardened agents for self-healing 5G operations, while Amdocs is utilizing the runtime for proactive customer-care assistance and automated billing platform migrations. NTT DATA, ServiceNow, and Tata Consultancy Services are similarly integrating these tools to power agents that detect network degradation, orchestrate incident response, and accelerate anomaly resolution through multi-fidelity AI sensor architectures. Validating agent actions before live deployment is being accelerated through GPU-driven simulation. By moving high-fidelity radio access network modeling to NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, Forsk and VIAVI Solutions are achieving up to 200x faster ray-tracing and order-of-magnitude improvements in scenario generation. These capabilities fuel digital twins that allow operators to safely test self-healing protocols and routing changes. Meanwhile, KDDI and KDDI Research, in collaboration with NVIDIA, Keysight, and Samsung Research America, are constructing 6G-era digital twins to simulate future radio conditions, traffic shifts, and AI-driven air-interface functions. Together, these innovations provide telecom operators with a secure, auditable pathway to autonomous network management. By embedding policy controls, synthetic data pipelines, and accelerated simulation into AI agent workflows, the industry is moving closer to resilient, continuous self-optimizing infrastructure that enhances both operational efficiency and consumer service delivery.