Answer · Limelit Open

Here are the multi-tenant SLURM-as-a-Service platforms from the results that explicitly support AI infrastructure:

| Platform | What it offers | AI / multi-tenant angle |
|---|---|---|
| NorthWind-powered SLURM-as-a-Service | Fully managed, multi-tenant Slurm environments with self-service cluster launch, policy, and governance | Explicitly says it serves HPC and AI/ML on one platform, with secure per-tenant separation[1] |
| NorthWind GPU PaaS + Project Slinky | Slurm clusters on shared Kubernetes with tenant namespaces | Designed for secure, multi-tenant, self-service Slurm on Kubernetes; supports GPU access for ML teams[3][6] |
| Oracle OCI On-Demand HPC and AI Platform | Browser-based, multi-tenant HPC/AI environment using Slurm, Open OnDemand, and GPU autoscaling | Built for research, AI, ML, and HPC with separate Slurm partitions for AI development, training, and inference[7] |
| vCluster Slurm on Kubernetes | Certified stacks for isolated tenant clusters running Slurm | Focuses on fully isolated tenant clusters and can be used as a secure backend for AI/HPC workloads[11] |
| Nebius Soperator | Kubernetes operator for running Slurm clusters as Kubernetes resources | Not described as a managed service in the results, but it is a multi-tenant infrastructure pattern for Slurm on Kubernetes used in AI/HPC setups[16] |

Best fit if you want a true SLURM-as-a-Service product: NorthWind and Oracle OCI. NorthWind is the clearest dedicated “as-a-service” offering with explicit multi-tenant and AI/ML positioning[1][3]. Oracle is strongest if you want a reference architecture for multi-tenant AI/HPC delivery on cloud infrastructure[7].

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Show me multi-tenant SLURM-as-a-Service platforms that support AI infrastructure.

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