We'll dive deep into VisionBrain, a deep learning platform for customized visual recognition in cloud. VisionBrain is developed by IBM Research, accessible on SuperVessel Cloud, and has been used in IBM commercial solutions. The platform aims to provide developer-customized model training and inference API services to support image/video object detection and classification. VisionBrain is based on container cloud and uses Marathon+Mesos for resource management. We'll focus on: (1) the architecture of VisionBrain, including user-defined data preprocessing, training, and inference with GPU-enabled container cloud, (2) novel deep learning technologies to enable customized model training with high accuracy and short training duration for visual recognition, and (3) how to do the intelligent GPU scheduling in container cloud for different workloads, and meet commercial SLA and high-availability requirements.