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Jio, AMD, Cisco, Nokia plan open source AI platform to boost telecom security
The Open Telecom AI Platform will act as a central intelligence layer, using AI and automation for network operations.
Jio Platforms Ltd (JPL), along with AMD, Cisco, and Nokia, will develop an open telecom AI platform, the companies said at the Mobile World Congress 2025 in Barcelona on Monday.
The platform will incorporate artificial intelligence (AI)-driven solutions into telecom networks, improve efficiency, security, and revenue opportunities for service providers.
The AI platform will act as a central intelligence layer, using AI and automation for network operations.
It will be large language model (LLM)-agnostic, leverage open application programming interfaces (APIs), agentic AI, and a mix of LLMs, small language models (SLMs), and non-generative AI machine learning for smart network management.
“By harnessing agentic AI across all telco layers, we are building a multimodal, multidomain orchestrated workflow platform that redefines efficiency, intelligence, and security for the telecom industry,” said Mathew Oommen, group chief executive officer (CEO) at Reliance Jio. “In collaboration with AMD, Cisco, and Nokia, Jio is advancing the Open Telecom AI Platform to transform networks into self-optimizing, customer-aware ecosystems.”
AMD’s chair and CEO, Lisa Su, talked about the role of AI in advancing telecom infrastructure.
“By leveraging our broad portfolio of high-performance CPUs, GPUs, and adaptive computing solutions, service providers will be able to create more secure, efficient, and scalable networks,” she said.
Meanwhile, Nokia president and CEO Pekka Lundmark said, “The Telecom AI Platform will help Jio optimize and monetize their network investments through enhanced performance, security, operational efficiency, and automation.”
The platform will serve as a reference architecture for the global telecom industry, and its first customer will be Jio.
The initiative is designed to drive innovation across telecom and digital services by enhancing automation, network optimization, and AI-driven applications.



