NVIDIA is showcasing a new generation of AI tools for telecommunications operators that aims to move network operations beyond workflow automation toward autonomous, agent-driven decision-making. At TM Forum’s DTW Ignite 2026 in Copenhagen, the company and its ecosystem partners are demonstrating technologies that combine synthetic data, telecom-specific AI models, secure runtime environments, and accelerated digital twins to support more autonomous network and business operations. The initiative reflects a broader industry effort to create self-managing networks capable of proactively identifying issues, recommending actions, and coordinating changes across network, IT, and business systems.
In a company blog, Lilac Ilan said operators increasingly require AI agents that can manage complex, long-running processes while operating within strict service-level agreements, regulatory requirements, and operational policies. The blog highlights technologies including NVIDIA NeMo Safe Synthesizer, NeMo Anonymizer, NemoClaw, and OpenShell as foundational components for creating governed and auditable AI-driven telecom workflows.
Among the demonstrations, SoftBank is using synthetic data generated with NVIDIA tools to train its Large Telecom Model (LTM) and specialized network agents. AdaptKey is piloting self-healing 5G network agents capable of detecting issues and executing approved remediation workflows. NTT DATA is developing long-running agents for proactive network degradation detection, while ServiceNow is extending its Project Arc platform into telecom network operations centers. NVIDIA also highlighted simulation and digital-twin initiatives with Forsk, VIAVI Solutions, KDDI, Keysight, Samsung Research America, and others that enable operators to test AI-generated recommendations before deploying them on production networks.
• SoftBank is using synthetic telecom datasets to train its Large Telecom Model and specialized network agents.
• AdaptKey is deploying NVIDIA-powered agents for security monitoring and self-healing 5G operations.
• NTT DATA is building autonomous agents for long-term network performance monitoring and remediation planning.
• ServiceNow is extending Project Arc into telecom operations using NVIDIA OpenShell for secure, auditable workflows.
• Forsk, VIAVI, KDDI, Keysight, and Samsung Research America are using accelerated simulation and digital twins to validate AI-driven network changes.
“Automation is no longer the finish line — it’s the launchpad to autonomy,” Ilan writes.
🌐 Analysis: NVIDIA’s telecom strategy now extends well beyond AI infrastructure hardware into AI-RAN software, autonomous network operations, synthetic data generation, digital twins, and future 6G architectures. The company’s October 2025 decision to invest US$1 billion in Nokia signaled a long-term commitment to the telecom sector and positioned NVIDIA alongside major operators, infrastructure vendors, and AI-RAN Alliance members seeking to build more autonomous and AI-native networks. The DTW Ignite demonstrations show how that strategy is evolving from AI-assisted operations toward trusted, policy-governed AI agents capable of supporting increasingly autonomous telecom environments.
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NVIDIA AI for Telecom Initiatives
Key platforms, alliances, investments, and telecom ecosystem initiatives
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| AI-RAN Alliance | Founding member and major contributor to industry efforts focused on integrating AI into radio access networks, improving spectrum efficiency, and enabling AI-native wireless architectures for future 6G networks. |
| NVIDIA Aerial | Software-defined platform for accelerated RAN processing, AI-RAN development, wireless research, network optimization, and future mobile network innovation. |
| Aerial Omniverse Digital Twin | Digital twin framework enabling operators to model, simulate, and optimize wireless networks before deployment. Supports AI-assisted planning, coverage analysis, and validation of autonomous network actions. |
| NemoClaw & OpenShell | Secure runtime environment and agent framework for long-running AI agents operating within policy-based guardrails. Provides governance, auditability, and controlled access to telecom operational systems. |
| Synthetic Data Stack | NeMo Safe Synthesizer and NeMo Anonymizer enable operators to generate privacy-preserving telecom datasets for AI model training while protecting customer and network information. |
| ARC-Pro Platform | AI-native wireless platform combining accelerated computing, connectivity, sensing, and AI processing to support emerging AI-RAN and next-generation mobile network deployments. |
| Telecom AI Partners | Collaborates with operators and ecosystem partners including SoftBank, KDDI, NTT DATA, ServiceNow, Samsung Research America, Keysight, VIAVI, and others to develop AI-driven network operations, digital twins, and autonomous networking technologies. |
| Nokia Investment & Partnership |
In October 2025, NVIDIA announced a US$1 billion strategic investment in Nokia alongside a broad partnership focused on AI-RAN, autonomous network operations, cloud-native telecom infrastructure, and data center networking. The companies are collaborating on AI-native radio access networks, accelerated computing platforms for telecom operators, digital twins, and future 6G architectures. The investment represented one of NVIDIA’s largest direct commitments to the telecom sector and strengthened Nokia’s position as a strategic partner for AI-driven network transformation.
Converge Digest Coverage: NVIDIA to Invest $1B in Nokia Partnership for AI-RAN and Data Center Networking |
| Updated: 18-June-2026 | |
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DTW Ignite 2026
TM Forum’s flagship telecom transformation conference
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| Dates | June 23–25, 2026 |
| Venue | Bella Center Copenhagen, Denmark |
| Theme | The Future. Faster. |
| Focus Areas | Autonomous Networks, AI & Data, Composable IT, Cloud Transformation, Digital Services, and Network Automation. |
| Opening Keynotes | Senior executives from leading global operators, technology vendors, and digital service providers discussing AI, automation, and telecom transformation. |
| Expected Topics | Agentic AI, AI-RAN, network autonomy, digital twins, cloud-native operations, sovereign AI, and future 6G architectures. |