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Jio Platforms with AMD, Cisco, and Nokia to Develop Open Telecom AI Platform

Arshi Khan by Arshi Khan
March 4, 2025
Jio Telecom AI Platform

Image Source: Cisco

At Mobile World Congress 2025, Jio Platforms Limited( JPL), jointly with AMD, Cisco, and Nokia, announced a plan to develop a new Open Telecom AI Platform.

The partnership aims to provide telecom operators and service providers with AI-driven solutions for the contemporary landscape, focusing on enhancing efficiency, security, and operational capabilities and creating new revenue streams within the telecommunications sector.

The new Open Telecom AI Platform planned by all the companies will be built with Jio as the first customer, creating a replicable reference architecture and deployable solution for the broader global service provider industry to enhance performance, reliability, security, and customer experience, the Open Telecom AI Platform will foster joint development and commercialization of AI-powered telecom solutions.

Leveraging the profound expertise of industry leaders across multiple domains such as Radio Access Networks (RAN), Routing, AI Data Centers, Security, and Telecom, the Telecom AI Platform will establish a robust central intelligence layer for telecom and digital services.

This comprehensive multi-domain intelligence framework is designed to seamlessly integrate AI and automation into all facets of network operations.

Mathew Oommen, Group CEO, of Reliance Jio, said, “In collaboration with AMD, Cisco, and Nokia, Jio is advancing the Open Telecom AI Platform to transform networks into self-optimizing, customer-aware ecosystems. This initiative goes beyond automation—it’s about enabling AI-driven, autonomous networks that adapt in real-time, enhance user experiences, and create new service and revenue opportunities across the digital ecosystem.”

Also Read: AMD Launched World’s Fastest Electronic Trading Accelerator- Alveo

“AMD is proud to collaborate with Jio Platforms Limited, Cisco, and Nokia to power the next generation of AI-driven telecom infrastructure,” said Lisa Su, chair and CEO, AMD. “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. Together we can bring the transformational benefits of AI to both operators and users and enable innovative services that will shape the future of communications and connectivity.”

This AI platform will be agnostic to Large Language Models (LLMs) and will employ open APIs to maximize its operational functionality. By integrating agentic AI, and utilizing a combination of LLMs, domain-specific Small Language Models (SLMs), and traditional machine learning techniques, the Telecom AI Platform is positioned to deliver comprehensive end-to-end intelligence for optimized network management and operational efficacy.

“This collaboration with Jio Platforms Limited, AMD and Nokia harnesses the expertise of industry leaders to revolutionize networks with AI,” said Chuck Robbins, Chair and CEO, Cisco. “Cisco is proud of the role we play here with integrated solutions from across our stack including Cisco Agile Services Networking, Data Center Networking, Compute, AI Defense, and Splunk Analytics. We look forward to seeing how the Telecom AI Platform will boost efficiency, enhance security, and unlock new revenue streams for service provider customers.”

“Nokia possesses trusted technology leadership in multiple domains, including RAN, Core, fixed broadband, IP and optical transport. We are delighted to bring this broad expertise to the table in service of today’s important announcement,” said Pekka Lundmark, President and CEO at Nokia. “The Telecom AI Platform will help Jio to optimize and monetize their network investments through enhanced performance, security, operational efficiency, automation and greatly improved customer experience, all via the immense power of artificial intelligence. I am proud that Nokia is contributing to this work.”

Arshi Khan

Arshi Khan

A research-focused journalist covering enterprise technology, AI, and cybersecurity. Reporting combines market data, expert interviews, and on-ground industry inputs to produce accurate, context-driven stories for business decision-makers. She can be reached at [email protected]

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