Bright's Jupyter integration provides a rich set of features that provide a point-and-click interface to the underlying compute cluster. The Jupyter Kernel Creator is one of them. It allows users to create kernels that run on the cluster, either through an HPC workload scheduler or through Kubernetes. But some organizations want to prepopulate the launcher with kernel definitions that can be used by any user - without customizing a template. This article shows how to do it.
Bright Computing is a California-based SaaS firm that provides cluster management solutions for applications such as edge computing and machine learning.