NVIDIA and Nokia Partner with Major Telcos to Transform Networks into Distributed Intelligence Hubs

Yahoo Finance ·

At GTC Berlin on October 21, 2026, NVIDIA announced that major global telecom operators are converting their infrastructure into distributed intelligence platforms by integrating accelerated computing. T-Mobile achieved the world's first AI-RAN call on a commercial network in Bellevue, Washington. Meanwhile, BT, Deutsche Telekom, and Elisa are launching AI-RAN trials on live networks using Nokia's CUDA-accelerated anyRAN software powered by NVIDIA Aerial RAN Computer hardware. Across Europe, the Middle East, and Africa, nine operators are expanding NVIDIA-backed systems to bring artificial intelligence closer to users. Furthermore, Nokia and Cisco are incorporating NVIDIA Nemotron open models to drive autonomous network operations. This initiative empowers operators to build a complete intelligence stack utilizing their existing real estate, power, and connectivity assets.

AI 시장 분석

NVIDIA, Nokia, and global telecom operators including T-Mobile have announced an AI-RAN partnership to transform networks into decentralized artificial intelligence platforms. T-Mobile successfully completed the world's first AI-RAN call on a commercial network, while major carriers in Europe and the Middle East are also conducting infrastructure expansions and pilot tests. This movement is expected to transform communication networks from mere data transmission tools into high-value AI service infrastructure, driving profitability improvements for related companies.

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DYAX 전담 분석

The AI-RAN infrastructure, combining NVIDIA's accelerated computing and Nokia's anyRAN software, maximizes telecom network efficiency and creates new revenue models. In particular, T-Mobile's commercial network call success and European carriers' pilot adoptions directly drive demand for related hardware and software, positively impacting financial growth.

The bullish scenario is the rapid global spread of AI-RAN adoption leading to a surge in NVIDIA's chip and software sales, while the bearish scenario is the delayed adoption speed due to carriers' infrastructure investment cost burdens. Key metrics to watch are the conversion rates of major carriers' AI-RAN pilots to commercialization and the growth trend of related network equipment orders.

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