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

Multi-Tenant SLURM-as-a-Service Platforms for AI Infrastructure

1. NorthWind SLURMaaS — The clearest fit for pure multi-tenancy.
NorthWind-powered SLURM as a Service enables organizations to deliver fully managed, multi-tenant SLURM environments for high-performance computing workloads
. It
combines traditional SLURM scheduling with Kubernetes orchestration, dynamic GPU allocation, and multi-tenant security, with secure workload separation and per-tenant tracking
, and
modernizes SLURM by integrating it with Kubernetes through Project Slinky, allowing providers to expose SLURM job scheduling as a cloud-like, on-demand service
. → northwind.co

2. ClearML (Slurm + Kubernetes) — Adds tenancy and billing on top of Slurm/K8s hybrid backends.
It offers built-in secure dynamic multi-tenancy with billing, isolating teams, projects, and business units while sharing the same physical infrastructure, applying per-tenant resource limits and tracking consumption for chargeback
. It also provides
GPU-as-a-Service and Model-as-a-Service built into the platform, letting you spin up notebooks or IDE sessions on Slurm or Kubernetes capacity
. → clear.ml

3. NVIDIA Slinky (SchedMD/NVIDIA) — The underlying open-source operator many providers build on.
Slinky enables native Slurm cluster management on Kubernetes via CRDs, with full lifecycle orchestration/HA, and integrates with the NVIDIA GPU Operator and DRA/ComputeDomains for automated GPU management and topology-aware multinode scheduling
, with
production deployments scaling to over 8,000 GPUs
. → developer.nvidia.com

4. Crusoe Managed Slurm — GPU-cloud-native but currently single-tenant.
Crusoe Managed Slurm on CMK is intentionally focused: single-tenant GPU training clusters with a familiar Slurm interface and managed infrastructure
. Worth watching if you need dedicated tenancy rather than shared multi-tenant pools. → crusoe.ai

5. Lambda Managed Slurm —
Optimizes AI workflows with managed or unmanaged Slurm on GPU clusters powered by NVIDIA HGX B200/H100, letting Lambda handle the infrastructure
. Best for teams wanting turnkey Slurm without building multi-tenant isolation themselves. → lambda.ai

Bottom line: If true shared multi-tenant SLURMaaS is the requirement, NorthWind and ClearML are the strongest matches; Slinky is the open-source foundation powering many of these offerings; Crusoe/Lambda are better for dedicated managed clusters.