Apache YuniKorn vs Voda Scheduler
Apache YuniKorn
yunikorn.apache.orgVoda Scheduler
github.comSide by side
| Figure | Apache YuniKorn | Voda Scheduler |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · GPU Cluster Management Software | 8.1 (#6) | 6.5 (#18) |
| Deployment | The project recommends deploying YuniKorn to an existing Kubernetes cluster using its Helm chart and Helm 3 or later. | The project says Voda Scheduler is designed to deploy in any Kubernetes cluster, on-cloud or on-premise, that can schedule GPUs. |
| Intended users | The community page identifies users and developers interested in using or contributing to YuniKorn as audiences for its community meetings. | The stated use case is elastic or distributed deep learning workloads running in a Kubernetes cluster. |
| License | The software is licensed under the Apache License 2.0. | The GitHub repository identifies an Apache-2.0 license. |
| Purpose | Apache YuniKorn is a resource scheduler for running batch, data, and machine learning workloads on Kubernetes. | Voda Scheduler is a GPU scheduler for elastic deep learning workloads built on Kubernetes, Kubeflow Training Operator, and Horovod. |
Plans
In their own words
Apache YuniKorn
Apache YuniKorn is a resource scheduler for batch, data, and machine learning workloads on Kubernetes. It is a Kubernetes-compatible alternative to the default scheduler and is described as transparent to existing Kubernetes applications. Hierarchical queues provide fine-grained tenant controls that can reflect an organization’s structure. Scheduling features include gang scheduling, FIFO and Fair job ordering, resource fairness, reservations, and preemption. A web UI centralizes cluster capacity, utilization, and application information. YuniKorn exposes metrics through Prometheus, and project guidance covers monitoring with Prometheus and Grafana. The project recommends deployment to an existing Kubernetes cluster using its Helm chart and Helm 3 or later. The software is free under the Apache License 2.0. Releases include source tarballs, which must be built before use, and prebuilt Docker images. The project advises checking release artifacts for tampering with GPG or SHA-512. Help is available through the YuniKorn Slack #yunikorn-user channel or the user mailing list.
Voda Scheduler
Voda Scheduler has no write-up on Specifiction yet; its figures are above.