Koordinator
Koordinator: Open-source Kubernetes scheduling for sharing GPUs and balancing mixed workloads. Ranked #11 of 21 in GPU Cluster Management Software by our editors (8.1/10); pricing: Free plan; best for kubernetes GPU efficiency and resource sharing.
At a glance
- Editor score8.1 / 10
- PricingFree plan
- Best forKubernetes GPU efficiency and resource sharing
- Free planYes
- Paid fromFree
- Deployment modelSelf_hosted
- Founded2022
- Facts checked22 Sep 2026
Where it wins
- Fine-grained GPU sharing with topology-aware scheduling
- QoS, priority, gang scheduling, and preemption controls
- Free, open-source deployment with Prometheus observability
Where it doesn't
- Requires an existing Kubernetes cluster
- Self-hosted deployment requires operational ownership
- Kubernetes-centric rather than a general-purpose cluster manager
Our verdict on Koordinator
Koordinator is an open-source Kubernetes scheduling and resource-management system for teams sharing clusters across latency-sensitive microservices, AI workloads, and big-data jobs. It combines QoS-aware and priority-based scheduling with elastic and hierarchical quotas, helping administrators manage competing workloads without treating every request identically. The project supports GPU and heterogeneous-device scheduling, along with resource isolation at the node level. Deployment is self-hosted through Helm into an existing Kubernetes cluster, with scheduler, manager, daemon, and optional runtime components.
Its strongest area is workload scheduling depth. Koordinator supports gang scheduling, job-level preemption, GPU sharing, fine-grained GPU allocation, resource overcommitment, pod colocation, and node-load-aware descheduling. Topology-aware scheduling is aimed at AI workloads, while Prometheus metrics and observability endpoints provide a path for monitoring resource behavior. These controls make it a fit for organizations that need to improve GPU utilization while preserving scheduling policies across mixed workload types.
The main trade-off is operational scope: Koordinator is a self-hosted Kubernetes project, not a vendor-hosted service. Teams should be prepared to install and operate its components within their Kubernetes environment. It is a strong choice for platform teams that want open-source control over GPU allocation, quotas, preemption, and cluster sharing. Organizations seeking a standalone scheduler outside Kubernetes or a managed commercial offering should choose an alternative designed for that deployment model.
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Koordinator pricing
Koordinator fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment model | Self_hosted |
| Workload scheduling | Both |
| Kubernetes support | Yes |
| Quota controls | Yes |
| GPU utilization metrics | Yes |
| Cloud GPU support | Yes |
| Deployment | Cloud, Self-hosted |
| Platforms | Linux |
| Support | Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | koordinator.sh |
| Facts checked | 22 Sep 2026 |
Alternatives to Koordinator
- 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 Koordinator alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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