Deployment - Analysis of Deploying RAIL Experiments on HPC Environments

Currently, RAIL is capable of designing, building, and deploying experiments within REANA clusters by leveraging container-based workflows. However, there's a growing requirement to deploy these workflows into High-Performance Computing (HPC) environments, which differ significantly from the current REANA-based infrastructure.

This issue aims to:

* Analyze the feasibility, requirements, and constraints associated with deploying RAIL-designed experiments into an HPC environment.

* Describe an end-to-end use case clearly to illustrate the entire deployment process, highlighting potential challenges and opportunities.

The outcome of this analysis will inform subsequent implementation tasks and facilitate a clear understanding of integration efforts and impacts.