kubernetes – slurm with K8s or Kubeflow possible?

I understand that both Slurm and Kubeflow/K8s are workload manager. we wanted to leverage features of slurm parallelism etc., and use with Kubeflow or Kubernetes for ML workflow, is it possible? can they coexist or work together?

Example: We want to submit training job from Kubeflow notebook, it should work with Slrum partition to create a queue or schedule a job, if no GPU available, job should be in pending and run once the resource available?

Leverage Slrum + I understand that both Slurm and Kubeflow/K8s are workload manager.

Read more here: Source link