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Joining forces with European and American giants such as Nokia and Cisco, NVIDIA wants to

# Translation: English
By Zhao Ying
Source: Wall Street CN
Jensen Huang stated that **“the telecom industry will be the next to be reshaped by AI.”** NVIDIA has partnered with giants including Nokia, Cisco, and Deutsche Telekom, taking **AI-RAN** as the entry point and betting that **6G will become the nervous system of the Physical AI era** — connecting millions of autonomous machines and robots to the physical world in real time.
6G is expected to be commercially deployed around 2030, but the battle for leadership has already begun.
NVIDIA is extending its AI infrastructure strategy to global telecom networks, wagering that **AI-native platforms** will become the core architecture of the 6G era.
On the eve of MWC Barcelona, NVIDIA announced a collaboration with global telecom and infrastructure leaders — including Nokia, Cisco, Deutsche Telekom, T-Mobile, BT Group, and Booz Allen Hamilton — committing to build 6G networks on **open, secure, AI-native platforms**.
Jensen Huang, Founder and CEO of NVIDIA, said on Sunday:
“AI is redefining computing and driving the largest infrastructure buildout in human history — and telecom will be next.”
At the heart of the partnership is the **AI-RAN (AI Radio Access Network)** technology roadmap.
Srini Gopalan, CEO of T-Mobile, noted:
“As 6G becomes the backbone of the AI era, telecom will emerge as the nervous system of the digital economy, powering large-scale operations of autonomous systems and intelligent industries.”
6G is targeted for commercialization around 2030, with trials set to start as early as 2028.
## AI-RAN commercialization accelerates, multiple operators join in
NVIDIA went beyond strategic announcements, unveiling new **commercial AI-RAN collaborations** with T-Mobile, SoftBank, and Indosat Ooredoo Hutchison, moving technologies from labs to real‑world deployment.
The ecosystem built around NVIDIA’s solutions is expanding, including:
- off-the-shelf systems from Quanta Cloud Technology
- AI-optimized indoor and outdoor radio units from WNC Corp.
- 4T4R O-RUs from Eridan Communications
- integrated products from Lite-On Technology for Sub-6 GHz and millimeter-wave bands
This mature hardware ecosystem gives operators a practical option to deploy high‑capacity, short‑range wireless networks in dense urban environments.
From a technology evolution perspective, the current **5G Advanced** phase will serve as a transitional bridge. It will equip carriers with stronger programmability via software‑defined networking, boost efficiency and coverage capacity through AI and machine learning, and lay the foundation for the eventual shift to 6G.
## Autonomous network vision: self‑operating telecom networks
On the software side, NVIDIA laid out a long‑term vision of **autonomous networks** — telecom networks that can self‑manage and self‑operate like intelligent machines.
To achieve this, NVIDIA believes large language models and inference systems **purpose‑built for telecom** are required, enabling networks to coordinate across nodes and validate operational decisions via simulation tools.
In the announcement, NVIDIA unveiled a **Large Telecom Model (LTM)** based on its **Nemotron** framework, along with agent construction guidelines and an operational blueprint for network operations center (NOC) workflows. These cover energy saving, network configuration under multi‑agent orchestration, and advanced autonomous capabilities.
NVIDIA emphasized that the Nemotron framework uses an **open architecture**, providing full transparency into model training processes and data sources for telecom operators, supporting secure, fast, on‑premises deployment inside networks.
Additionally, NVIDIA and Tech Mahindra released an open‑source guide to help operators fine‑tune inference models for specific domains and build agent workflows for NOCs.
## 6G: The next battlefield for Physical AI
The deeper logic behind NVIDIA’s push is the convergence of **6G and Physical AI**.
NVIDIA believes 6G wireless networks will accelerate Physical AI, enabling millions of autonomous machines, sensors, vehicles, and robots to interact with the physical world in real time.
This aligns closely with NVIDIA’s overarching strategy: from data center GPUs to autonomous driving platforms, the company is systematically embedding AI computing power into physical infrastructure.
If telecom networks become AI-native infrastructure, they will provide NVIDIA with a new growth pillar in the next technology cycle.
Commercial 6G remains years away, but the formation of this alliance shows the race to dominate 6G standards and architecture is already underway. With AI-RAN as its entry point, NVIDIA is aiming to seize an early lead.
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