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GPUStack vs TORQUE Resource Manager

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GPUStack

6.4#3 in gpu cluster management softwareFree plan
Free planWebAPILinuxmacOS
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What both publish

FactGPUStackTORQUE Resource Manager
IntegrationsListed integrations include OpenWebUI, LangChain, n8n, Dify, RAGFlow, Claude Code, OpenClaw, Docker, Podman, Kubernetes, Helm, Prometheus, and Grafana.The maker's documentation describes integration between TORQUE and the Moab Workload Manager.
SupportThe contact page offers personalized demos and architecture, deployment, and scaling guidance, and says replies typically arrive within one business day.The project README directs questions and contributions to the [email protected] mailing list.

GPUStack plans

  • GPUStack Community EditionFree

TORQUE Resource Manager plans

  • TORQUE Resource ManagerFree

Pick GPUStack if…

GPUStack suits teams deploying AI models on GPU infrastructure who need model-serving endpoints, cluster controls, and on-premise, cloud, or hybrid deployment options.

Pick TORQUE Resource Manager if…

TORQUE is intended for administrators managing compute clusters who can build and deploy self-hosted software. Its source-based installation and client authorization requirements are relevant when planning setup.

Charts they share