Backend.AI
6.3#4 in gpu cluster management softwareFree planFree planWebAPILinuxSelf-hosted
VisitBackend.AI vs Voda Scheduler
Voda Scheduler
5.1#19 in gpu cluster management softwareAPISelf-hosted
VisitWhat both publish
| Fact | Backend.AI | Voda Scheduler |
|---|---|---|
| Deployment | Backend.AI can be deployed on-premises, in public cloud environments, or in a hybrid setup. | The project says Voda Scheduler is designed to deploy in any Kubernetes cluster, on-cloud or on-premise, that can schedule GPUs. |
| Intended users | Lablup describes its audience as ranging from small teams with a single GPU to institutions running clusters of thousands. | The stated use case is elastic or distributed deep learning workloads running in a Kubernetes cluster. |
| Purpose | Backend.AI is an AI infrastructure platform for building, training, and serving models and running parallel computing jobs. | Voda Scheduler is a GPU scheduler for elastic deep learning workloads built on Kubernetes, Kubeflow Training Operator, and Horovod. |
Backend.AI plans
- Open-sourceFree
- Try-outFree
- Enterprise (cloud)Priced on request
- Enterprise (on-premises)Priced on request
Voda Scheduler plans
No prices published.
Pick Backend.AI if…
Backend.AI suits teams or institutions running GPU workloads, from single-GPU home use to larger clusters. It also fits organizations seeking on-premises, cloud, hybrid, or air-gapped deployment options.
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.