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

Google AI Mode searchapi-google-ai-mode 2026-07-19 08:14

The answer

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Several platforms now offer multi-tenant "SLURM-as-a-Service" (SlaaS) designed for AI infrastructure, combining the robust scheduling of Slurm with the flexibility of cloud-native environments. These platforms typically use Kubernetes to provide secure, isolated environments for different tenants on shared GPU hardware. 0 4 3 12

Here are the top platforms supporting multi-tenant SLURM-as-a-Service for AI:

1. NorthWind-powered SLURM-as-a-Service

NorthWind provides a fully managed SlaaS, allowing AI teams to deploy Slurm clusters on-demand, supported by automatic BCM (Bare-Metal/Cloud/Machine) based cluster bring-up. 0

  • AI Focus: Designed to handle large, parallel AI/ML workloads on NVIDIA GPUs.
  • Multi-Tenancy: Offers secure per-tenant separation with built-in governance, enabling IT to provide self-service access to research and AI teams.
  • Hybrid Approach: Integrates with Slinky (by SchedMD/NVIDIA) to run Slurm components as Kubernetes-native resources.

This video demonstrates how NorthWind's Slurm-as-a-Service can be used to manage AI workloads:

2. Nebius Managed Soperator

Nebius provides "Soperator," a specialized operator for running Slurm on Kubernetes, aimed specifically at AI training workloads. 1

  • AI Focus: Specialized for running massive AI training jobs (e.g., Large Language Models) that need high-speed networking and GPU scheduling.
  • Multi-Tenancy: Uses Kubernetes namespaces to provide isolation, while allowing traditional Slurm user experiences, often using a shared "jail" filesystem for performance.

This video explains how Nebius Soperator enables one-click deployment of Slurm clusters for AI training:

3. OpenNebula AI-as-a-Service Stack

OpenNebula offers a specialized stack for "Sovereign AI Factories" that supports multi-tenant, on-prem AI deployment, enabling users to launch virtualized Slurm clusters on demand. 7 5

  • AI Focus: Supports PCI passthrough for NVIDIA GPUs and InfiniBand, providing near-bare-metal performance.
  • Multi-Tenancy: Isolates tenants within their own virtual clusters (vClusters) and virtual networks, enabling shared physical hardware across different research groups.

This video showcases OpenNebula's multi-tenant AI-as-a-Service solution for deploying and scaling AI models:

4. vCluster by Loft Labs

While technically a Kubernetes virtual cluster tool, vCluster is heavily used to build multi-tenant AI platforms that run "Slurm-on-Kubernetes" (using Slinky). 11 1

  • AI Focus: Used by together.ai and similar providers to separate user workloads on shared GPU clusters.
  • Multi-Tenancy: Provides true, lightweight virtual control planes per team, preventing noisy neighbor issues and enabling different configurations per tenant.

Key Technologies Driving Multi-Tenant SlaaS

  • Slinky (SchedMD/NVIDIA): A modern approach to running Slurm on Kubernetes, enabling configless operation and dynamic node management.
  • NVIDIA Run:ai: Provides a control plane for AI PaaS, offering logical and access isolation that can be paired with Slurm, as shown in this NVIDIA demonstration.
  • Kata Containers: Used by platforms like NorthWind to provide VM-level isolation for containers, enhancing security in multi-tenant environments.

Would you like to explore which of these platforms supports a hybrid cloud model (on-prem + public cloud) or which ones offer the best usage-based billing?

[[0] - ](northwind.co)
[[1] - ](linkedin.com)
[[2] - ](northwind.co)
[[3] - ](run-ai-docs.nvidia.com)
[[4] - ](together.ai)
[[5] - ](opennebula.io)
[[6] - ](northwind.co)
[[7] - ](opennebula.io)
[[8] - ](vcluster.com)
[[9] - ](linkedin.com)
[[10] - ](slurm.schedmd.com)
[[11] - ](vcluster.com)
[[12] - Move from Idea to Impact Faster with Shared AI Compute](tensorwave.com)
[[13] - What Is Slurm? | Slurm for AI and ML Clusters Explained](coreweave.com)
[[14] - Multi-Tenant AI-as-a-Service for AI Factories](youtube.com)
[[15] - ClearML Multi-tenancy over Kubernetes infrastructure](clear.ml)
[[16] - Platform9 Launches the Industry's Only SaaS Managed Bare Metal Orchestration Platform • Platform9](platform9.com)
[[17] - VMware’s rivals ramp efforts to create alternative stacks](theregister.com)
[[18] - Ultimate Guide – The Best Budget-Friendly AI Hosting Services of 2026](siliconflow.com)
[[19] - AI Platform-as-a-Service — NVIDIA Cloud Accelerator Documentation](docs.nvidia.com)

Brands named

6
  • NorthWind #3 13 times
  • NVIDIA #1 10 times
  • Nebius #2 3 times
  • OpenNebula #2 7 times
  • vCluster #2 5 times
  • CoreWeave #3

Sources cited

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  4. nvidia.com nvidia.com competitor
  5. together.ai together.ai other
  6. opennebula.io opennebula.io competitor
  7. northwind.co northwind.co own
  8. opennebula.io opennebula.io competitor
  9. vcluster.com vcluster.com competitor
  10. linkedin.com linkedin.com social
  11. schedmd.com schedmd.com other
  12. vcluster.com vcluster.com competitor
  13. tensorwave.com tensorwave.com other
  14. coreweave.com coreweave.com competitor
  15. youtube.com youtube.com social
  16. clear.ml clear.ml other
  17. platform9.com platform9.com other
  18. theregister.com theregister.com other
  19. siliconflow.com siliconflow.com other
  20. nvidia.com nvidia.com competitor