dstack
6.9#2 in gpu cluster management softwareFree planFree planWebAPILinuxmacOS
Visitdstack vs GPUStack
What both publish
| Fact | dstack | GPUStack |
|---|---|---|
| Deployment | The server can run on a laptop or another environment with access to the cloud and on-prem clusters being used. | It supports on-premise, Kubernetes, and multi-cloud GPU deployments, and the maker states that air-gapped deployments are supported. |
| Integrations | Listed backend types include AWS, Azure, GCP, Kubernetes, Slurm, Runpod, Nebius, Lambda, and other cloud providers. | Listed integrations include OpenWebUI, LangChain, n8n, Dify, RAGFlow, Claude Code, OpenClaw, Docker, Podman, Kubernetes, Helm, Prometheus, and Grafana. |
| Security | The service configuration supports authorization, which is enabled by default for services. | The site lists RBAC, multi-tenancy, OIDC/SAML/AD-LDAP SSO, scoped API keys, IP allowlisting, token quotas, and usage analytics. |
| Support | The documentation directs users to report issues on GitHub and ask questions in the dstack Discord server. | The contact page offers personalized demos and architecture, deployment, and scaling guidance, and says replies typically arrive within one business day. |
| What it does | dstack is an open-source orchestration layer for AI workloads across GPU clouds, Kubernetes, VMs, and bare-metal clusters. | GPUStack is an open-source GPU cluster manager for deploying, governing, and scaling AI models across on-premise, cloud, or hybrid infrastructure. |
dstack plans
- dstack OSSFree
- dstack Sky GPU MarketplacePriced on request
GPUStack plans
- GPUStack Community EditionFree
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 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.