Nokia Bets the Network on Nvidia in AI and 6G Pivot

2026-03-02 · Source: Big Data & AI News - EE Times · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Intermediate, short

Summary

Nokia unveiled a comprehensive strategic vision for AI-RAN at Mobile World Congress (MWC) 2026, marking a significant shift in the global telecommunications industry from hardware-centric to software-driven, intelligent networks. This strategy, anchored by a $1 billion investment from Nvidia, focuses on distributed GPU systems to manage the increasing data volume from generative and physical AI workloads. Nokia's approach integrates cellular network functions with advanced AI tasks on high-speed computing platforms, moving towards AI-native networks and 6G. The company is also updating its AirScale lineup with new Doksuri remote radio heads, built on ReefShark SoC technology, to bring localized intelligence to the radio unit, improve power efficiency by up to 30%, and reduce weight by 25%. This initiative aims to separate hardware from software, enabling faster innovation and new revenue streams for telecom operators.

Key takeaway

For telecom operators evaluating future network architectures, Nokia's AI-RAN strategy with Nvidia suggests a strong move towards software-defined, GPU-accelerated infrastructure. You should consider how adopting distributed AI processing and intelligent radio units can reduce operational expenditure, enable new revenue models by monetizing unused computing power, and prepare your network for the demands of 6G and physical AI workloads.

Key insights

Nokia's AI-RAN strategy, backed by Nvidia, shifts telecom to software-driven, AI-native networks for 6G.

Principles

• AI is the new workload reshaping networks.
• Networks must become highly predictive and autonomous.

Method

Nokia adopts a distributed GPU system, combining cellular network functions with AI tasks on shared computing platforms, and deploys intelligent radio hardware to enable AI-native networks.

In practice

• Use shared computing for AI tasks.
• Rent out unused network computing power.
• Deploy intelligent radio units at the edge.

Topics

• AI-RAN
• 6G Networks
• Distributed GPU Systems
• Edge AI Hardware
• Network Automation

Best for: Investor, AI Architect, AI Product Manager, CTO

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• MWC 2026 Concludes as Telcos Pivot to AI — The telecom industry is debating GPU vs. CPU architectures for AI-driven 6G networks, impacting economics and deployment.
• NVIDIA GTC Telecom Special Address: The AI Grid—Intelligently Connecting AI Infrastructure — The AI grid merges telecom and AI stacks, creating a generational opportunity for AI-native infrastructure and services.
• How AI-RAN Turns Telecom Networks into Real-Time AI Infrastructure — AI-RAN integrates AI agents with 5G infrastructure for real-time automation of physical systems at the edge.
• Ericsson and Intel partner on commercial AI-native 6G development — Ericsson and Intel are partnering to commercialize AI-native 6G, integrating AI across network infrastructure.
• At MWC, Intel Outlines CPU-Driven Case for Telecom Networks — Integrated CPU AI acceleration offers a cost-effective and power-efficient alternative to distributed GPUs for telecom infrastructure.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Big Data & AI News - EE Times.