Backend.AI
6.3#4 in gpu cluster management softwareFree planFree planWebAPILinuxSelf-hosted
VisitBackend.AI vs Volcano
What both publish
| Fact | Backend.AI | Volcano |
|---|---|---|
| Deployment | Backend.AI can be deployed on-premises, in public cloud environments, or in a hybrid setup. | Installation options include YAML files, source code, and Helm on an existing Kubernetes cluster. |
| Purpose | Backend.AI is an AI infrastructure platform for building, training, and serving models and running parallel computing jobs. | Volcano is a cloud native system for high-performance workloads and a container batch scheduling project. |
Backend.AI plans
- Open-sourceFree
- Try-outFree
- Enterprise (cloud)Priced on request
- Enterprise (on-premises)Priced on request
Volcano 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 Volcano if…
Volcano may suit teams running batch jobs or other high-performance workloads on Kubernetes, including teams managing diverse hardware or multiple clusters. It is self-hosted, so users need an existing Kubernetes cluster that meets the stated prerequisite.