Teaming up with European and American giants such as Nokia and Cisco, NVIDIA aims to "define" 6G, with the goal of "integrating AI into telecommunications."

Teaming up with European and American giants such as Nokia and Cisco, NVIDIA aims to "define" 6G, with the goal of "integrating AI into telecommunications."

```

NVIDIA is extending its AI infrastructure strategy to global telecom networks, betting that AI-native platforms will become the core architecture in the 6G era.

On the eve of the Barcelona MWC conference, NVIDIA announced alliances with global telecom and infrastructure giants including Nokia, Cisco, Deutsche Telekom, T-Mobile, BT Group, and Booz Allen Hamilton, committing to build 6G networks on open and secure AI-native platforms.

NVIDIA founder and CEO Jensen Huang said on Sunday, "AI is redefining computing and driving the largest infrastructure buildout in human history—the telecom industry will be next."

At the heart of this collaboration is the AI-RAN (Artificial Intelligence Radio Access Network) technology path. T-Mobile CEO Srini Gopalan said, "As 6G becomes the backbone network of the AI era, telecom will become the nervous system of the digital economy, supporting the large-scale operation of autonomous systems and intelligent industries." 6G is expected to be commercially available around 2030, with trials starting as early as 2028.

AI-RAN commercialization accelerates as multiple operators join

NVIDIA is not only making strategic declarations but also announced new AI-RAN commercialization collaborations with T-Mobile, SoftBank, and Indosat Ooredoo Hutchison, taking the technology from the lab to real-world deployment.

The ecosystem built around NVIDIA's solution is expanding, covering turnkey systems from Quanta Cloud Technology, AI-optimized indoor and outdoor RF units from WNC Corp., 4T4R O-RU from Eridan Communications, and integrated products for Sub-6GHz and millimeter-wave bands from Lite-On Technology. The formation of this hardware ecosystem provides operators with feasible options to deploy high-capacity, short-range wireless networks in dense urban scenarios.

From a technological evolution perspective, the current 5G Advanced phase will serve as a transitional bridge, empowering operators with stronger programmable capabilities through software-defined networks and enhancing energy efficiency and coverage capacity with AI and machine learning, thus laying the foundation for the eventual transition to 6G.

Autonomous network vision: enabling telecom networks to "self-operate"

On the software front, NVIDIA has presented the long-term goal of an “autonomous network”—that is, telecom networks managing and operating themselves like intelligent machines. To achieve this, NVIDIA believes large language models and inference systems specifically designed for telecom scenarios are needed, so that networks can collaborate across nodes and validate operational decisions through simulation tools.

In this announcement, NVIDIA released a large telecom model (LTM) based on the Nemotron framework and introduced a guide for building agents and operational blueprints for network operation center workflows, covering energy saving, network configuration in multi-agent orchestration, and advanced autonomous capabilities.

NVIDIA emphasizes that the Nemotron framework adopts an open architecture, providing telecom operators with full transparency in model training and data sources to support secure and rapid localized deployment within networks. Additionally, NVIDIA and Tech Mahindra jointly released an open-source guide to help operators fine-tune inference models for specific domains and build agent workflows for network operation centers.

6G: The next battleground for physical AI

The deeper logic behind NVIDIA’s latest moves lies in the convergence of 6G and physical AI. NVIDIA believes that 6G wireless networks will accelerate the development of physical AI, enabling millions of autonomous machines, sensors, vehicles, and robots to interact with the real world in real time.

This aligns closely with NVIDIA’s overall strategy—from data center GPUs to autonomous driving platforms, NVIDIA is systematically injecting AI computing power into all kinds of physical infrastructure. If telecom networks become AI-native infrastructure, they will provide NVIDIA with a new growth engine in the next technology cycle.

Commercialization of 6G is still years away, but the formation of this alliance signals that the race for leadership over 6G standards and architecture has already begun, and NVIDIA is seeking to gain an early advantage through AI-RAN.

Risk Disclaimer and Exemption ClauseThe market is risky, and investments should be made cautiously. This article does not constitute individual investment advice and does not take into account the specific investment objectives, financial status, or needs of individual users. Users should consider whether any opinions, views, or conclusions in this article are suitable for their specific circumstances. Investment based on this article is at your own risk. ```