Optical Interconnect for Open AI Infrastructure

This technical report presents insights into the design and implementation of optical interconnects aimed at optimizing open AI infrastructure. The paper discusses the challenges posed by traditional data center systems, which are becoming unsustainable due to high overhead and inefficiencies. It outlines how Cerio's distributed architecture utilizes passive direct interconnect technology to enhance scalability and reduce costs. The report details the advantages of using prewired topologies and off-the-shelf optics, which allow for greater flexibility and resource utilization in data centers. It also explains the significance of PCIe composability and CXL memory pooling, highlighting how these innovations enable dynamic scaling and efficient resource management. The document concludes by emphasizing the potential for these technologies to support diverse workloads and improve the overall sustainability of AI infrastructure. By decoupling optics from switching, Cerio's approach aims to provide a more efficient and adaptable solution for modern data center demands.