LinuxCon ContainerCon CloudOpen China

Container is a popular technology in cloud with the merits of fast provisioning, high density and near-native performance. New requirements have been rising to further use GPU to accelerate various applications in containers, e.g. media trans-coding, machine learning, etc. However there is still gap of managing GPU in such container usages. This presentation will first review the status of GPU support on both native container and Intel clear container, then provide an anatomy of technical gaps and enabling plans in major areas (orchestration layer, resource isolation and QoS performance isolation), then review our work for GPU virtualization in clear container and prototype work through extensions in docker plugin, cgroup and GPU scheduler to fix those gaps.