Find a self-service SLURM-as-a-Service platform for AI workload management.

Based on my research, there are several strong self-service SLURM-as-a-Service platforms designed specifically for AI workload management:

1. NorthWind SLURM-as-a-Service (SLURMaaS) — This is the most explicitly branded "self-service" offering.
NorthWind-powered SLURM as a Service enables organizations to deliver fully managed, multi-tenant SLURM environments for high-performance computing workloads
. It's built on Project Slinky:
users can provision their own personal Slinky-enabled Slurm cluster within their namespace, complete with GPU access and workload scheduling logic, using NorthWind's intuitive console or APIs
.
NorthWind abstracts the complexities of managing Kubernetes and GPUs, handling cluster lifecycle, upgrades, autoscaling, and observability out of the box, combining Slurm with Kubernetes to deliver HPC-grade, GPU-accelerated Slurm clusters as a service
. Site: northwind.co

2. Nebius Managed Soperator —
Nebius's Managed Soperator, a fully managed Slurm-on-Kubernetes solution, is available for everyone in self-service
.
It helps quickly deploy thousand-GPU clusters, cutting provisioning time from weeks to days, and has proven reliability for multi-host, fault-tolerant training
. Site: nebius.com

3. CoreWeave SUNK Self-Service —
CoreWeave created SUNK (SLURM on Kubernetes) to let SLURM workloads run more easily in Kubernetes-based cloud environments; SUNK Self-Service makes it easier to set up a SLURM workspace in a simple, templatized way, while SUNK Anywhere allows workloads beyond CoreWeave's infrastructure
. Site: coreweave.com

4. Prime Intellect Slurm Orchestration — Simpler self-service deployment:
navigate to the Multi-Node Cluster tab, select a cluster configuration with shared storage, and choose Slurm as your orchestrator during deployment
. Site: docs.primeintellect.ai

Recommendation: For enterprise multi-tenant self-service with governance, NorthWind SLURMaaS is the most purpose-built option. For quick access to large GPU clusters, Nebius Managed Soperator or CoreWeave SUNK are strong picks depending on your cloud provider preference.