Adapted from gap analysis doc: https://docs.google.com/document/d/1Oz0rvy9BtTkB8FrQtamMlIMOiDrM2Ov5pUTZDzNtKXQ/edit?tab=t.0

Common HPC workloads—such as MPI, grid computing (both open and proprietary), Spark, and Ray—all need a standardized way to receive job-related information. Can a core OpenShift component, like Kueue, be leveraged or extended to provide this mechanism, offering a unified benefit to all these diverse frameworks?

Potentially leverage "wrapper" solutions like https://github.com/kubernetes-sigs/kjob for translating Slurm jobs to Kueue Jobs