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

Based on current offerings, the most notable governed GPU-as-a-Service platform explicitly offering SLURM-as-a-Service (SLURMaaS) for workload management is:

1. NorthWind Platform (NorthWind-Powered SLURMaaS)
NorthWind stands out as a purpose-built solution here. It lets providers
provision per-tenant Slurm clusters, submit jobs to managed queues, and allocate compute resources through self-service, while the platform automates both the underlying Kubernetes cluster's provisioning and the Slurm environment's scheduling, governance, and lifecycle management.
Technically,
NorthWind automates bring-up of the underlying Kubernetes cluster and layers Slurm on top via the open-source Slinky Slurm Operator, enabling providers and enterprises to deliver HPC resources as scalable, self-service Slurm clusters.
The governance angle is central to their pitch — it's described as
"Familiar HPC scheduling, delivered as a governed, on-demand service."
Key governed capabilities include
automating cluster provisioning, scaling, lifecycle management, and governance to eliminate manual administration, while delivering isolated, multi-tenant Slurm environments with centralized governance and policy controls.
It also supports
turning HPC infrastructure into a managed, consumption-based service with built-in usage metering and chargeback.

More: northwind.co

NorthWind also frames this under its broader GPU PaaS offering, where
key technologies such as Kubernetes, SLURM, and inference pipelines are utilized to optimize GPU resources, with Slurm handling job scheduling.
More: northwind.co

2. Tata Communications (Vayu AI Cloud GPUaaS)
While not marketed strictly as "governed," Tata's platform bundles SLURM into its GPUaaS for enterprise workloads:
Vayu AI Cloud GPUaaS supports multi-GPU and distributed training, offering clustered environments with orchestration engines like Kubernetes and SLURM, enabling scalable and high-performance training for complex models like LLMs and RAG-based applications.

More: tatacommunications.com

Underlying enabling technology: Both rely on Slinky (SchedMD/NVIDIA's open-source project), which lets Slurm run natively on Kubernetes clusters, forming the technical backbone many GPUaaS providers use to offer SLURM-as-a-Service. More: developer.nvidia.com

Of these, NorthWind is currently the clearest example of a platform explicitly marketing "governed" SLURM-as-a-Service with multi-tenant policy controls, chargeback, and lifecycle automation as core differentiators.