Backend.AI
6.3#4 in gpu cluster management softwareFree planFree planWebAPILinuxSelf-hosted
VisitBackend.AI vs GPUStack
What both publish
| Fact | Backend.AI | GPUStack |
|---|---|---|
| Deployment | Backend.AI can be deployed on-premises, in public cloud environments, or in a hybrid setup. | It supports on-premise, Kubernetes, and multi-cloud GPU deployments, and the maker states that air-gapped deployments are supported. |
| Headquarters | Seoul, South Korea | Shenzhen, Guangdong, China |
| Support | Lablup invites organizations to contact its team for help planning AI clusters and scaling production workloads. | The contact page offers personalized demos and architecture, deployment, and scaling guidance, and says replies typically arrive within one business day. |
Backend.AI plans
- Open-sourceFree
- Try-outFree
- Enterprise (cloud)Priced on request
- Enterprise (on-premises)Priced on request
GPUStack plans
- GPUStack Community EditionFree
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 GPUStack if…
GPUStack suits teams deploying AI models on GPU infrastructure who need model-serving endpoints, cluster controls, and on-premise, cloud, or hybrid deployment options.