Key Technologies for Energy-Efficient Pluggable Optics in AI/ML Applications

This 14-minute presentation by Tiger Ninomiya, Principal Technologist at Accelink Technologies, explores enabling technologies for energy-efficient pluggable optics in AI/ML applications. Learn how the surge in AI and ML is driving increased demand for optical transceivers to support higher bandwidth and complex fabric designs with extended reaches. Discover how innovations like Linear Pluggable Optics (LPO) and Linear Receive Optics (LRO) are addressing critical power constraints as module bandwidth and speed increase. Examine a pluggable module specifically designed for immersion cooling that enhances cooling efficiency and reduces energy consumption in AI/ML environments. Understand the challenges and future directions in pluggable optics development, with emphasis on the ongoing innovation needed to overcome power and thermal limitations in data centers facing growing energy demands.