NVIDIA, T-Mobile US, and partners, including Nokia, have announced the integration of physical artificial intelligence applications into AI-RAN-ready telecommunications infrastructure, advancing efforts to transform mobile networks into platforms that support both connectivity and distributed AI computing.
The initiative focuses on embedding AI capabilities directly into radio access networks (RAN), enabling telecom infrastructure to run real-time artificial intelligence workloads closer to users at the network edge.
NVIDIA said the collaboration is part of its broader vision for AI-native infrastructure. We are building the foundation for AI to operate across every layer of computing, including telecom networks, NVIDIA said in a statement on the initiative.
T-Mobile US said the development reflects the industry’s push toward more intelligent and programmable network systems. Next-generation networks must support advanced workloads beyond traditional connectivity, T-Mobile US said.
Nokia, which is contributing to the infrastructure framework, said the project aligns with its work on AI-enhanced radio access networks. AI-RAN represents a key step in the evolution toward more intelligent and adaptive network architecture, Nokia said.
The companies said the integration is designed to support emerging “physical AI” applications, including robotics, autonomous systems, industrial automation, and real-time sensing technologies that require low-latency processing. AI-RAN combines telecom base station functions with accelerated computing, allowing network nodes to perform AI inference closer to devices and end users.
The partners said the initiative is part of broader industry efforts to modernize telecom infrastructure and prepare for future network generations expected to incorporate artificial intelligence as a core design layer. No commercial rollout timelines or financial details were disclosed.
The collaboration adds to growing industry momentum around deploying AI workloads at the network edge to support time-sensitive applications across industrial and consumer environments.
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