We will work together in order to create a Jupyterhub luster with your needs in mind.

• Create a managed Jupyterhub Cluster with your needs in mind. I can integrate with existing infrastructure, or create a new cluster with Kubernetes.
• Do your users prefer R and RStudio Server? No problem! Use Jupyterhub as a central authentication server to spawn other services.
• Configure mounted EFS storage available to not only your cluster, but to any AWS resource. This includes HPC clusters, ML workflows, EC2 instances, etc.
• Configure users and groups to restrict access to certain files, just as you would on any file system.
• Give your users access to any number of software environments, and let them create their own.
• Create SOPs and documentation portals.

Once you have the base Jupyterhub Infrastructure up and running you can begin to scale with multiple web services.

• Create dashboards with Dash or RShiny to give custom views of your datasets and analyses.
• Power Computer Vision infrastructure for Machine Learning Workflows.

Your Jupyterhub cluster can integrate with a number of different services. If you already have compute infrastructure in the way of an HPC cluster, you can instruct your servers to run there with Spawners.