The Pangeo community has built successful demonstrations of how to conduct large-scale science in the cloud, and this need exists in areas beyond geoscience. Other domain communities are leveraging this approach for their own needs, such as the PanNeuro effort led by Ariel Rokem and others at the University of Washington, and we see this as a positive sign that Jupyter's infrastructure has broad reach for different communities.
The Jupyter team has always sought to create tools that are not only open, but vendor-agnostic, modular and extensible. While the Pangeo CoP has their own specific needs and requirements, the same building blocks can be customized, extended, and deployed by other CoP and service providers to other usage cases. The key point here is how the the open-source building blocks of Jupyter for interactive computing and computational narratives unlock new practices and collaboration patterns in these communities.