In a strategic push toward intelligent and highly efficient mobile networks, Rakuten Mobile and Intel have expanded their collaboration to build AI-first virtualized Radio Access Networks (vRAN). This marks a significant evolution in telecom infrastructure by placing artificial intelligence at the core of network operations. The partnership aims to optimize performance, automate processes, and improve overall energy efficiency.
Rakuten Mobile’s cloud-native, fully virtualized network architecture combined with Intel’s AI-ready computing platforms creates a strong foundation for embedding artificial intelligence (AI) across key network functions. While the transition to vRAN has faced challenges such as latency and operational complexity, this collaboration seeks to overcome those barriers by integrating AI workloads directly into the RAN stack. The goal is to move toward autonomous and self-optimizing networks capable of adapting in real time.
Embedding AI into the RAN Architecture:
The expanded partnership builds on their earlier work deploying vRAN using Intel Xeon processors. Now, the companies are going further by incorporating intelligent automation into spectrum management, network resource allocation, and real-time optimization. AI integration into Layer 1 and Layer 2 processes allows the network to dynamically respond to traffic demands, improve spectral efficiency, and reduce power consumption.
The initiative leverages Intel’s FlexRAN reference software, the vRAN AI Development Kit, and advanced AI tools and libraries designed for complex RAN workloads. Intel Xeon 6 systems-on-chip with built-in AI acceleration provide the processing power required for real-time decision-making within commercial networks.
By embedding AI directly into network functions, Rakuten Mobile expects to achieve automated RAN management, lower operational expenses, and enhanced energy efficiency. These improvements align with broader industry goals of reducing total cost of ownership while supporting increasing data traffic from emerging technologies, such as IoT, augmented reality, and ultra-reliable low-latency communications.
Leadership Vision for AI-Driven Networks:
Executives from both organizations have emphasized the strategic importance of this collaboration. Sharad Sriwastawa, Co-CEO and CTO of Rakuten Mobile, stated that the partnership validates transformative AI-driven innovations that will shape the future of mobile networks. His comments reflect Rakuten’s commitment to building fully software-defined, intelligent infrastructure.
Kevork Kechichian, Executive Vice President and General Manager of Intel’s Data Center Group, highlighted how AI is fundamentally reshaping network architecture. He noted that Intel’s AI-optimized Xeon platforms are already powering a majority of commercial vRAN deployments worldwide, reinforcing Intel’s role in advancing next-generation telecom solutions.
Strategic Impact on the Telecom Industry:
The Rakuten and Intel collaboration represents a broader shift toward AI-native, cloud-based network architectures. As telecom operators seek flexibility, scalability, and efficiency, virtualized and software-defined networks are becoming central to digital transformation strategies. Embedding artificial intelligence (AI) within the RAN enables predictive maintenance, automated fault detection, and intelligent traffic management.
This development also aligns with the long-term evolution toward 6G networks, where intelligence and automation are expected to be foundational elements. AI-first vRAN architectures may serve as a blueprint for future deployments by reducing manual intervention and enabling self-optimizing capabilities at scale.
Conclusion:
The expanded partnership between Rakuten Mobile and Intel signals a major advancement in AI-enabled telecom infrastructure. By integrating artificial intelligence directly into virtualized RAN systems, the companies aim to deliver enhanced efficiency, automation, and performance. As mobile networks continue to evolve beyond traditional hardware-based models, AI-native architectures will play a defining role in shaping the future of connectivity.
