Tokyo Summit to Map the Convergence of AI and Networking

The summit, scheduled for December 10–11 alongside the Open Source Summit Japan, highlights an architectural transition where AI functions both as a critical workload and a primary tool for network automation. As traditional infrastructure struggles to keep pace with modern data demands, the event focuses on moving concepts like open RAN, cloud-native operations, and disaggregated networking from theoretical frameworks to real-world deployment.

Arpit Joshipura, general manager of Networking, Edge & IoT at the Linux Foundation, noted that the program reflects a shift toward autonomous operations. Discussions will span complex technical domains, including multi-agent collaboration, digital twins, and the application of Model Context Protocol (MCP) in telecommunications. The sessions aim to bridge the gap between regional Japanese innovation and the broader global open-source ecosystem, particularly regarding the development of next-generation intelligent networks and specialized AI hardware like DPUs and IPUs.