Nokia Adopted Nvidia GPUs for AI-RAN Development
Nokia has integrated the E3 interface and Nvidia hardware to enhance 5G capabilities for global operators.
Updated on Sept. 30, 2026 in Artificial Intelligence

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Nokia has officially adopted the E3 interface and Nvidia GPUs to support artificial intelligence within 5G open radio access networks. Nineteen global operators have already signed up for these initial AI-RAN deployments.
Why it matters
By leveraging Nvidia hardware, Nokia aims to improve its 5G competitiveness against major rivals like Ericsson and Samsung. This transition positions the firm to utilize general-purpose chips as a primary alternative to traditional custom silicon.
The E3 interface allows distributed applications to operate with sub-millisecond latency. Nokia is utilizing Nvidia GPUs within its Aerial framework as a direct replacement for proprietary custom silicon.
The players
Nokia
A multinational telecommunications and consumer electronics corporation headquartered in Finland.
Nvidia
A technology company known for designing graphics processing units and computing platforms for artificial intelligence.
Bell Canada
A major Canadian telecommunications provider that has conducted field trials using Nokia as a partner.
Telstra
Australia's largest telecommunications company that is currently backing USM technology.
Vodafone
A British multinational telecommunications company that has endorsed the use of Cohere's USM technology.
The details
Nokia is collaborating with Nvidia to utilize the Aerial framework to build advanced software stacks. This shift enables network operators to run applications directly on the user-plane, while carriers such as Vodafone, Telstra, and Bell Canada have already endorsed the associated USM technology.
Timeline
The official announcement was recorded on September 30, 2026.
The Tech Race
This development highlights the ongoing shift from proprietary hardware to general-purpose computing in telecommunications infrastructure. It marks a departure from the traditional models maintained by competitors like Ericsson and Samsung.
Users may experience improved network responsiveness due to the sub-millisecond latency enabled by the new E3 interface. For telecom providers, this integration facilitates a shift toward more flexible, software-defined infrastructure that can be updated more rapidly.
The takeaway
The pivot toward Nvidia chips suggests that telecommunications giants are prioritizing software-centric agility over custom-built components. This shift could significantly lower the barrier for deploying complex AI applications directly at the network edge.
Further reading
For more context on current trends in the sector, explore the latest developments in Artificial Intelligence.
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