DescriptionA traditional data center consists of monolithic-servers is confronted with limitations including lack of operational flexibility, low resource utilization, low maintainability, etc. Resource disaggregation is a promising solution to address the above issues. We propose a concept of disaggregated data center architecture called Flow-in-Cloud (FiC) that enables an existing cluster computer to expand an accelerator pool through a high-speed network. FiC is a shared pool of heterogeneous accelerators such as GPU and FPGA, which are directly connected by a circuit-switched network. From the pool of accelerators, a slice is dynamically configured and provided according to a user request. FlowOS-RM manages the entire FiC resources, and supports execution of a user job on provided slices. This poster demonstrates effective resource sharing on the prototype system using a distributed deep learning application.