At Mobile World Congress 2025, AMD, Cisco, Nokia, and Jio Platforms announced their collaboration to create the Open Telecom AI Platform. This initiative aims to revolutionize telecom services by integrating AI-driven automation, advancing security, and enhancing operational efficiency to offer a scalable model for global service providers.
Roles of the Collaborating Companies
AMD will supply high-performance computing solutions, including its EPYC CPUs, Instinct GPUs, and Data Processing Units (DPUs), alongside adaptive computing technologies. Cisco’s role includes providing networking solutions, security measures, and AI analytics, which feature Cisco Agile Services Networking and Splunk Analytics. Nokia will contribute its knowledge in wireless and fixed broadband technologies, core networks, and optical transport. Jio Platforms Limited will take on the role of lead organizer and initial adopter, aiding in the global rollout and offering a reference model for telecom operators.
Strategic Importance for AMD
This partnership is crucial for AMD as it seeks to strengthen its position in the telecom sector, where it competes with Intel, which has established a substantial foothold through significant investments in 5G and telecom technologies.
Statements from Company Leaders
Lisa Su, AMD’s chair and CEO, emphasized the significance of collaboration in creating AI-driven telecom infrastructure. She noted that the integration of AMD’s high-performance solutions would enable service providers to develop secure and efficient networks, benefiting both operators and users.
Pekka Lundmark, President and CEO of Nokia, highlighted the company’s expertise in various domains and how the Telecom AI Platform would enhance Jio’s network performance and security, while also optimizing operational efficiency and improving customer experience through AI technology.
Platform Features and Objectives
The Open Telecom AI Platform is designed as a multi-layer intelligence system, incorporating AI at various levels of telecom infrastructure. It will utilize diverse AI methods, including autonomous AI agents and specialized language models, to ensure adaptable network management. Open APIs will facilitate integration with existing systems, enhancing network functions further.
A key aspiration of this initiative is to bolster network security and reduce operational costs. By embedding AI into network management, the platform aims to create self-regulating environments capable of identifying potential risks and dynamically modifying operations to ensure reliable service delivery.