AI/ML growth is driving a surge in interconnect bandwidth as models and datasets scale and workloads become increasingly token-centric—reshaping system design. Modern systems have converged on a two-tier hierarchy: scale-up fabrics that tightly couple XPU, memory, and switching into a coherent “virtual XPU,” and scale-out networks that connect many scale-up fabrics across the data centre.
The use of AI in society is exploding and quickly changing how businesses and public functions operate. It’s speculated that Generative AI could drive a 10x traffic growth in 6G mobile networks. This workshop will outline the background of such predictions.
AI workloads, IMT-2030 (6G) transport and hyperscale data-centre optics are converging, forcing networks toward 800G/1.6T interfaces, microsecond-level synchronization, deterministic latency, and stringent energy budgets.
Programmable Integrated Photonics (PIP) represents a paradigm shift from application-specific PICs to reconfigurable optical subsystems integrating hardware, electronics, and control algorithms.