back
Get SIGNAL/NOISE in your inbox daily

ZTE’s AIR DNA initiative represents a significant advancement in AI-driven telecommunications infrastructure, potentially transforming how mobile networks operate and deliver services. Unveiled at Mobile World Congress Barcelona 2025, this comprehensive architecture reimagines network foundations with artificial intelligence as the central component, positioning the technology not merely as an add-on but as the genetic building block of future communications systems.

The big picture: ZTE has launched AIR DNA, an end-to-end network solution that fundamentally restructures mobile networks around artificial intelligence as their core engine.

  • The solution aims to reconstruct the architectural foundations of telecommunications infrastructure while redefining how intelligent networks will function in the future.
  • According to ZTE, this marks the beginning of a new era in intelligently connecting devices and services across global networks.

Key components: ZTE Senior Vice President Zhang Wanchun outlined three pillars of the AIR Solution: a full-stack AI foundation, end-to-end intelligent network reconstruction, and value redefinition driven by the new network architecture.

  • The AI foundation includes open infrastructure, a comprehensive lifecycle training and inference platform, and purpose-built Nebula large models for various scenarios.
  • The intelligent network transformation transitions from dedicated to heterogeneous AIR RAN, cloud-native to AI-native AIR Core, and assisted to autonomous intelligence in AIR Net.

AIR RAN innovations: The AI for RAN component reshapes both wireless sites and network operation and maintenance systems through increased integration of capabilities.

  • Wireless sites now feature “All-in-one Radio” technology that integrates communication, computing, and intelligence functions in unified hardware.
  • Network operations benefit from digital twin technology and large language models that enhance monitoring and management capabilities.

Computing architecture: The RAN for AI component delivers on-demand computing power throughout the network while providing comprehensive data access for AI applications.

  • This approach aims to facilitate widespread AI availability across the telecommunications infrastructure.
  • The system enables computing resources to be deployed where needed rather than centralized in traditional data centers.

Core network evolution: The AIR Core solution transitions networks from being merely cloud-native to becoming AI-native, enabling more autonomous operations.

  • This transformation drives intent-driven, agentic network capabilities that can operate with minimal human intervention.
  • The integration merges traditional core network functions with advanced AI capabilities for enhanced performance.

Implementation framework: The AIR Net Solution leverages a self-developed intelligence technology platform built on three key engines: data, large model, and digital twin technologies.

  • This comprehensive approach enhances both infrastructure capabilities and network operations.
  • The system is designed to facilitate a smoother path to intelligent transformation for telecommunications providers.

Why this matters: ZTE positions the AIR Solution as a catalyst for global intelligent transformation, potentially accelerating the development of human-machine symbiotic relationships in telecommunications.

  • The initiative represents one of the most comprehensive attempts to rebuild network architecture around AI as the fundamental building block rather than as a supplementary technology.
  • If successful, these developments could significantly influence how future networks are designed, deployed, and operated worldwide.

Recent Stories

Oct 17, 2025

DOE fusion roadmap targets 2030s commercial deployment as AI drives $9B investment

The Department of Energy has released a new roadmap targeting commercial-scale fusion power deployment by the mid-2030s, though the plan lacks specific funding commitments and relies on scientific breakthroughs that have eluded researchers for decades. The strategy emphasizes public-private partnerships and positions AI as both a research tool and motivation for developing fusion energy to meet data centers' growing electricity demands. The big picture: The DOE's roadmap aims to "deliver the public infrastructure that supports the fusion private sector scale up in the 2030s," but acknowledges it cannot commit to specific funding levels and remains subject to Congressional appropriations. Why...

Oct 17, 2025

Tying it all together: Credo’s purple cables power the $4B AI data center boom

Credo, a Silicon Valley semiconductor company specializing in data center cables and chips, has seen its stock price more than double this year to $143.61, following a 245% surge in 2024. The company's signature purple cables, which cost between $300-$500 each, have become essential infrastructure for AI data centers, positioning Credo to capitalize on the trillion-dollar AI infrastructure expansion as hyperscalers like Amazon, Microsoft, and Elon Musk's xAI rapidly build out massive computing facilities. What you should know: Credo's active electrical cables (AECs) are becoming indispensable for connecting the massive GPU clusters required for AI training and inference. The company...

Oct 17, 2025

Vatican launches Latin American AI network for human development

The Vatican hosted a two-day conference bringing together 50 global experts to explore how artificial intelligence can advance peace, social justice, and human development. The event launched the Latin American AI Network for Integral Human Development and established principles for ethical AI governance that prioritize human dignity over technological advancement. What you should know: The Pontifical Academy of Social Sciences, the Vatican's research body for social issues, organized the "Digital Rerum Novarum" conference on October 16-17, combining academic research with practical AI applications. Participants included leading experts from MIT, Microsoft, Columbia University, the UN, and major European institutions. The conference...