Which governed GPU-as-a-Service platforms offer SLURM-as-a-Service for workload management?

Based on current market offerings, the most prominent governed GPU-as-a-Service platform explicitly offering "SLURM-as-a-Service" is NorthWind:

NorthWind Platform (GPUaaS/GPU PaaS) — NorthWind is the clearest example marketing this exact capability.
NorthWind modernizes SLURM by integrating it with Kubernetes through Project Slinky, allowing providers to expose SLURM job scheduling as a cloud-like, on-demand service, letting service providers, enterprises, and sovereign cloud operators offer secure, elastic SLURM environments with built-in governance, visibility, and automation.
Key features include:
self-service access where tenants can launch SLURM clusters instantly through a portal or API, Kubernetes integration via Project Slinky for containerized HPC workloads, and lifecycle automation covering provisioning, scaling, patching, and teardown.

More broadly, NorthWind's governed GPU PaaS positions itself for
neoclouds, Sovereign AI Clouds, Telcos, and cloud service providers (CSPs) to offer premium services that meet the highest enterprise expectations for governance and control, while delivering self-service consumption to their enterprise users
, and specifically
Project Slinky combined with NorthWind's GPU PaaS provides enterprises and cloud providers with secure, multi-tenant, self-service access to Slurm-based HPC environments on shared Kubernetes clusters, enabling cloud providers and platform teams to offer Slurm-as-a-Service on Kubernetes without compromising on performance, usability, or control.

Other notable providers with SLURM support (though not always framed as a distinct "governed" SLURM-as-a-Service SKU):

• Tata Communications (Vayu AI Cloud) —

its GPUaaS supports multi-GPU and distributed training, offering clustered environments with orchestration engines like Kubernetes and SLURM for scalable, high-performance training of LLMs and RAG-based applications.

• Crusoe — offers "Crusoe Managed Slurm," built using SchedMD's Slinky project, layered on their managed Kubernetes infrastructure with automated GPU health monitoring (see crusoe.ai blog).
• NVIDIA (via Slinky/SchedMD) — provides the underlying open-source technology (slurm-operator, slurm-bridge) that most of these managed offerings build on:

Slinky provides a powerful set of tools for bringing Slurm's capabilities into Kubernetes, offering flexibility for managing HPC, cloud-native, and AI training workloads.

Sources:

• northwind.co
• northwind.co
• northwind.co
• tatacommunications.com
• crusoe.ai

If you need enterprise-grade governance (RBAC, quotas, multi-tenant billing) specifically bundled with SLURM, NorthWind is currently the most explicitly packaged option in the market.