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GPUStack vs Kueue

GPUStack

gpustack.ai

Kueue

kueue.sigs.k8s.io

Side by side

FigureGPUStackKueue
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYes—
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · GPU Cluster Management Software8.3 (#4)8.0 (#7)
What it doesGPUStack is an open-source GPU cluster manager for deploying, governing, and scaling AI models across on-premise, cloud, or hybrid infrastructure.Kueue manages quotas and job resource consumption, deciding when jobs wait, start, or are preempted.

Plans

GPUStack

  • GPUStack Community EditionFree

GPUStack pricing →

Kueue

  • KueueFree

Kueue pricing →

In their own words

GPUStack

GPUStack is an open-source GPU cluster manager for deploying, governing, and scaling AI models across on-premise, cloud, or hybrid infrastructure. It provides OpenAI-compatible and Anthropic-compatible inference endpoints, with support for engines such as vLLM, SGLang, llama.cpp, TensorRT-LLM, and MindIE. Users can browse models from Hugging Face and ModelScope or supply local files, with automated compatibility checks. GPUStack can provision GPU instances with lifecycle controls, partitioning, SSH key injection, Jupyter access, and persistent S3 or NFS storage. Deployment options include on-premise, Kubernetes, and multi-cloud, including air-gapped deployments. The maker lists support for accelerators from NVIDIA, AMD, Ascend, T-head, Hygon, MetaX, Moore Threads, Cambricon, and Iluvatar. Security controls include RBAC, multi-tenancy, SSO, scoped API keys, IP allowlisting, token quotas, and usage analytics. GPUStack Community Edition is free. Worker nodes support Linux only; Windows users are directed to consider WSL2, and macOS worker nodes are not supported.

Visit gpustack.ai

Kueue

Kueue is a free Kubernetes project that manages quotas and job resource consumption, deciding when workloads wait, start, or are preempted. It installs on a standard Kubernetes cluster without replacing existing components. Its scheduling tools include priority-based queues, fair sharing, quota borrowing between teams, resource flavor fungibility, preemption policies, and all-or-nothing scheduling. Built-in integrations cover Kubernetes Jobs and Pods, Kubeflow training jobs, Ray jobs and clusters, JobSet, AppWrapper, Deployments, StatefulSets, and LeaderWorkerSet. MultiKueue can find capacity and dispatch workloads across clusters, while topology-aware scheduling accounts for data center layout to improve communication throughput between pods. Kueue provides Prometheus metrics and an endpoint for viewing pending workloads. Installation instructions cover kubectl, Helm, and source builds. The guide recommends Kubernetes 1.34 or newer and officially supports and tests only those versions. Kueue also provides administrator and user ClusterRoles, with resource-specific roles that can be composed into custom roles. Its webhook server includes internal certificate management, and the installation guide links to cert-manager instructions.

Visit kueue.sigs.k8s.io