  Autonomous driving clouds provide essential services to support autonomous
vehicles. Today these services include but not limited to distributed
simulation tests for new algorithm deployment, offline deep learning model
training, and High-Definition (HD) map generation. These services require
infrastructure support including distributed computing, distributed storage, as
well as heterogeneous computing. In this paper, we present the details of how
we implement a unified autonomous driving cloud infrastructure, and how we
support these services on top of this infrastructure.
