dstack
6.9#2 in gpu cluster management softwareFree planFree planWebAPILinuxmacOS
Visitdstack vs Voda Scheduler
Voda Scheduler
5.1#19 in gpu cluster management softwareAPISelf-hosted
VisitWhat both publish
| Fact | dstack | Voda Scheduler |
|---|---|---|
| API | dstack offers an HTTP API for functionality not available in the CLI and for integrations that need to call the server directly. | The project documentation links to API endpoints as part of its getting-started steps. |
| Deployment | The server can run on a laptop or another environment with access to the cloud and on-prem clusters being used. | The project says Voda Scheduler is designed to deploy in any Kubernetes cluster, on-cloud or on-premise, that can schedule GPUs. |
| Purpose | dstack is an open-source orchestration layer for AI workloads on heterogeneous accelerators, including GPU clouds, Kubernetes, VMs, and bare-metal clusters. | Voda Scheduler is a GPU scheduler for elastic deep learning workloads built on Kubernetes, Kubeflow Training Operator, and Horovod. |
dstack plans
- dstack OSSFree
- dstack Sky GPU MarketplacePriced on request
Voda Scheduler plans
No prices published.
Pick dstack if…
dstack suits teams orchestrating AI workloads across different accelerator and infrastructure environments. It is also suited to users who want to configure workloads with YAML and manage resources through a CLI or HTTP API.
Pick Voda Scheduler if…
It suits teams running elastic or distributed deep learning workloads on Kubernetes GPU clusters. It is relevant to operators needing autoscaler awareness, migration and fault tolerance.