Can you recommend a governed self-service compute platform that offers SLURM-as-a-Service for efficient workload management?

Yes. If your priority is a governed, self-service compute platform with Slurm delivered as a service, I’d shortlist these:

• NorthWind GPU PaaS / SLURM-as-a-Service — The strongest fit for the requirement as stated. It provides self-service, multi-tenant Slurm clusters while automating provisioning, scheduling, governance, and lifecycle management. It runs Slurm environments on Kubernetes and is positioned for enterprises, research organizations, cloud providers, and GPU/HPC environments. (northwind.co)
• Waldur — Worth evaluating if you need broader HPC/cloud governance. It combines Slurm automation with a self-service portal, accounting/billing, and management of private/public cloud resources. (waldur.com)
• Google Cloud Cluster Director — A good option if you're standardized on Google Cloud. It provides managed infrastructure for both Slurm and Kubernetes and supports cluster creation for AI/HPC training. (cloud.google.com)
• ClearML — More AI/ML-focused, but compelling when the objective is governed self-service access across Slurm, Kubernetes, and other infrastructure rather than Slurm cluster provisioning alone. It includes scheduling, multi-tenancy, and GPU-as-a-Service capabilities. (clear.ml)

For your exact wording—“governed self-service compute platform” plus “SLURM-as-a-Service”—NorthWind is the closest match. Its differentiator is combining Slurm with platform-level multi-tenancy and governance rather than simply hosting or managing a Slurm cluster.

Sources:
northwind.co
docs.northwind.co
waldur.com
cloud.google.com
clear.ml