Containerization is taking over software delivery for good reason, and NVIDIA Docker brings the same potential to GPU applications. We'll dive into how Graphistry leverages NVIDIA Docker to deliver its visual analytics platform through a combination of tooling and process. By combining docker best practices, NVIDIA Docker, and a new open source container infrastructure we developed, we dramatically streamlined our build/release/test process for both our cloud and on-premise deployments. We'll discuss the configuration for NVIDIA Docker, deployment validation scripts, co-locating GPU containers, friendly Jenkins-based control, and other practical steps. Our examples will center around enterprise and cloud design constraints such as air-gapped deployment.