
GPUStack
6.4#3 in gpu cluster management softwareFree planFree planWebAPILinuxmacOS
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| Fact | GPUStack | HAMi |
|---|---|---|
| Deployment | It supports on-premise, Kubernetes, and multi-cloud GPU deployments, and the maker states that air-gapped deployments are supported. | The quick start installs HAMi with Helm and requires Kubernetes, Helm, kubectl, and installation permissions. |
| Integrations | Listed integrations include OpenWebUI, LangChain, n8n, Dify, RAGFlow, Claude Code, OpenClaw, Docker, Podman, Kubernetes, Helm, Prometheus, and Grafana. | The site lists Kubernetes, Volcano, Kueue, Koordinator and KAI Scheduler in its Kubernetes scheduling ecosystem. |
| Support | The contact page offers personalized demos and architecture, deployment, and scaling guidance, and says replies typically arrive within one business day. | The site links to documentation, tutorials, Discord and the `#hami-dev` Slack channel for community resources. |
GPUStack suits teams deploying AI models on GPU infrastructure who need model-serving endpoints, cluster controls, and on-premise, cloud, or hybrid deployment options.
HAMi suits teams running AI, machine-learning or HPC workloads on Kubernetes that need to share accelerators and manage GPU quotas. It is also relevant to operators who want device utilization metrics and scheduling integrations.