Nokia launches Autonomous Network Fabric to help customers accelerate network automation

Press release
Nokia launches Autonomous Network Fabric to help customers accelerate network automation

• Nokia Autonomous Network Fabric brings together all the capabilities required to accelerate the journey to full network automation in an open, cloud-native, multi-vendor environment.
• Key features include a library of cross-domain correlated data products, telco-trained models (LLM/LAM/ML), integrated security, and AI apps for automation workflows.
• Nokia announces an expanded collaboration with Google Cloud that will make Nokia’s Autonomous Network Fabric available to deploy anywhere customers need it, on Google Cloud, on premises, and in hybrid cloud environments.
  
  

18 June 2025 
Espoo, Finland – Nokia today announced its Autonomous Networks Fabric, the industry’s first suite of telco-trained AI models, integrated security, and AI apps to accelerate network automation and enable operators to easily roll out new services. Autonomous Network Fabric is a unifying intelligence layer that weaves together observability, analytics, security, and automation across every network domain; allowing a network to behave as one adaptive system, regardless of vendor, architecture, or deployment model. 

Additionally, Nokia is announcing an expanded collaboration with Google Cloud to enable customers to deploy Nokia’s Autonomous Network Fabric as a SaaS application running on Google Cloud, on-premises with Google Distributed Cloud, and in hybrid cloud environments.
Over the past few years, operators have started to move toward fully autonomous networks. However, they are held back by legacy systems, siloed processes, and fragmented data. With Nokia’s Autonomous Network Fabric, operators now have a fully integrated suite that features unified data management, 360-degree observability, and explainable AI. Nokia’s Autonomous Network Fabric enables automation at scale, reducing the complexity of automation while allowing operators to improve reliability and operational cost savings by quickly testing new ideas and integrating those that deliver desired benefits.  

“As networks become more autonomous, they will require different forms of AI—from classical algorithms to language-based systems and intelligent agents—to each contribute distinct capabilities for operators. Nokia’s new tools can help operators to manage their infrastructure, services, and cyber risks by applying AI that is trained on industry-specific data and enriched with real-time situational awareness,” said Andy Hicks, Senior Principal Analyst, GlobalData.