GPUStack
GPUStack: An open-source control plane for managing GPU-backed inference across mixed infrastructure. Ranked #8 of 21 in GPU Cluster Management Software by our editors (8.4/10); pricing: Free plan; best for multi-cluster inference and GPU operations.
At a glance
- Editor score8.4 / 10
- PricingFree plan
- Best forMulti-cluster inference and GPU operations
- Free planYes
- Paid fromFree
- Deployment modelHybrid
- Facts checked22 Sep 2026
Where it wins
- Manages GPUs across on-premises, Kubernetes, and cloud environments
- Supports distributed inference and automatic GPU or worker scheduling
- Includes RBAC, quotas, metering, and OpenAI-compatible APIs
Where it doesn't
- Its workload scheduler is oriented toward interactive inference
- The broad control plane may exceed the needs of single-cluster teams
- GPUStack Enterprise is presented through a contact-sales model
Our verdict on GPUStack
GPUStack is an open-source GPU cluster manager for teams deploying, serving, governing, and scaling AI models across heterogeneous infrastructure. Its unified control plane covers on-premises servers, Kubernetes clusters, and cloud GPU resources, making it a fit for development teams, IT organizations, AI platform teams, and service providers running model-serving or GPU-as-a-Service environments. The platform is available through web, desktop, API, and self-hosted options, with support for Windows, macOS, and Linux.
The core product is open source and free. GPUStack Enterprise is presented through a contact-sales model. Across its deployment options, the product combines GPU instance provisioning, lifecycle controls, automatic model deployment, worker scheduling, and monitoring for GPU, VRAM, CPU, and RAM utilization. Quotas, user authentication, role-based access control, API-key management, and usage metering for tokens, GPU instances, and storage add governance for shared environments.
Its ecosystem is centered on model inference and infrastructure operations. GPUStack supports Docker, Podman, Kubernetes, Helm, Prometheus, Grafana, Higress, Hugging Face, and ModelScope, alongside inference engines including vLLM, SGLang, TensorRT-LLM, and llama.cpp. OpenAI-compatible and Anthropic-compatible APIs can help teams connect existing clients, while pluggable inference engines and custom backends support varied serving stacks. Choose GPUStack when multi-cluster coordination, distributed inference, and GPU governance are central requirements. Teams focused mainly on batch scheduling, or those needing only a narrow single-cluster tool, may prefer a more specialized option.
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GPUStack pricing
GPUStack fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment model | Hybrid |
| Workload scheduling | Interactive |
| Kubernetes support | Yes |
| Quota controls | Yes |
| GPU utilization metrics | Yes |
| Cloud GPU support | Yes |
| Deployment | Cloud, Self-hosted |
| Platforms | Web, Windows, macOS, Linux |
| Compliance & security | SSO/SAML |
| Support | Email, Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 20 integrations: Docker, Podman, Kubernetes, Helm, Higress, Prometheus … |
| Pricing | Free plan |
| Website | gpustack.ai |
| Facts checked | 22 Sep 2026 |
GPUStack integrations
GPUStack lists 20 integrations on its own site.
- Docker
- Podman
- Kubernetes
- Helm
- Higress
- Prometheus
- Grafana
- vLLM
- SGLang
- TensorRT-LLM
- llama.cpp
- Hugging Face
- ModelScope
- OpenAI
- Anthropic
- OpenWebUI
- LangChain
- Dify
- RAGFlow
- Claude Code
Alternatives to GPUStack
- Backend.AIA broad GPU cluster platform for teams managing shared, multi-tenant AI infrastructure.9.4
- NVIDIA Mission ControlEnterprise GPU cluster management with orchestration, observability, and automated recovery.9.2
- NVIDIA Run:aiA broad Kubernetes-native GPU control plane for training, inference, and shared infrastructure.9.0
See all GPUStack alternatives →
GPUStack vs the competition
- GPUStack vs Backend.AI
- GPUStack vs NVIDIA Mission Control
- GPUStack vs NVIDIA Run:ai
- GPUStack vs dstack
- GPUStack vs Volcano
- GPUStack vs Apache YuniKorn
Compare GPUStack with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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