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GPUStack vs NVIDIA Mission Control

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GPUStack

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

FactGPUStackNVIDIA Mission Control
DeploymentIt supports on-premise, Kubernetes, and multi-cloud GPU deployments, and the maker states that air-gapped deployments are supported.The 2.3 release adds an option for a virtualized control plane and deployment in air-gapped environments.
HeadquartersShenzhen, Guangdong, ChinaSanta Clara, California, USA
SecurityThe site lists RBAC, multi-tenancy, OIDC/SAML/AD-LDAP SSO, scoped API keys, IP allowlisting, token quotas, and usage analytics.Mission Control offers secure configurations with validated namespace isolation and provides Kubernetes security policy files through its artifact collection.
SupportThe contact page offers personalized demos and architecture, deployment, and scaling guidance, and says replies typically arrive within one business day.NVIDIA directs Mission Control customers to NVIDIA Enterprise Support Services for expert support and guidance.

GPUStack plans

  • GPUStack Community EditionFree

NVIDIA Mission Control plans

  • NVIDIA Mission ControlPriced on request

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 NVIDIA Mission Control if…

NVIDIA Mission Control is intended for enterprise AI infrastructure teams, AI architects, and HPC operators managing AI factories. It is relevant to organizations using Slurm or Kubernetes for multi-node scheduling.

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