NVIDIA offers several containerized applications in HPC, visualization, and deep learning. We have also enabled a broad array of contain-related technologies for GPU with upstreamed improvements to community projects and with tools that are seeing broad interest and adoption. Furthermore, NVIDIA is acting as a catalyst for the broader community in enumerating key technical challenges for developers, admins and end users, and is helping to identify gaps and drive them to closure. This talk describes NVIDIA new developments and upcoming efforts. It outlines progress in the most important technical areas, including multi-node containers, security, and scheduling frameworks. It highlights the breadth and depth of interactions across the HPC community that are making the latest, highly-quality HPC applications available to platforms that include GPUs.