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Learn how to turn an AI robot into a gallery‑ready painter by setting up Docker and nvidia‑docker, installing GPU drivers, and running a neural‑style transfer pipeline that blends photographs with Monet’s brushstrokes, producing high‑quality artwork in minutes.
This article explains the design shortcomings of the original nvidia-docker, introduces the architecture and components of nvidia-docker 2.0—including the NVIDIA container runtime, libnvidia-container, and their integration with Docker and containerd—and details the container creation flow for both standard and GPU-enabled workloads.
This tutorial walks through installing NVIDIA‑Docker 2.0, configuring Docker’s runtime, deploying the NVIDIA device plugin on a Kubernetes 1.9 cluster, and testing GPU‑enabled pods, highlighting the advantages over the legacy nvidia‑docker 1.0 approach.