
dstack
6.9#2 in gpu cluster management softwareFree planFree planWebAPILinuxmacOS
Visit
| Fact | dstack | Kueue |
|---|---|---|
| Purpose | dstack is an open-source orchestration layer for AI workloads on heterogeneous accelerators, including GPU clouds, Kubernetes, VMs, and bare-metal clusters. | Kueue manages quotas and job resource consumption in Kubernetes, deciding when jobs wait, start, or are preempted. |
| What it does | dstack is an open-source orchestration layer for AI workloads across GPU clouds, Kubernetes, VMs, and bare-metal clusters. | Kueue manages quotas and job resource consumption, deciding when jobs wait, start, or are preempted. |
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.
Kueue suits teams running batch or other supported workloads on Kubernetes that need quota controls and scheduling across teams or clusters. It requires a Kubernetes environment managed by the user.