dstack
6.9#2 in gpu cluster management softwareFree planFree planWebAPILinuxmacOS
Visitdstack vs Volcano
What both publish
| Fact | dstack | Volcano |
|---|---|---|
| Deployment | The server can run on a laptop or another environment with access to the cloud and on-prem clusters being used. | Installation options include YAML files, source code, and Helm on an existing Kubernetes cluster. |
| Frameworks | The tasks guide names accelerate, torchrun, Ray, and Spark as distributed frameworks that work with dstack. | It supports frameworks including Spark, TensorFlow, PyTorch, Flink, Argo, MindSpore, PaddlePaddle, and Ray. |
| Purpose | dstack is an open-source orchestration layer for AI workloads on heterogeneous accelerators, including GPU clouds, Kubernetes, VMs, and bare-metal clusters. | Volcano is a cloud native system for high-performance workloads and a container batch scheduling project. |
| What it does | dstack is an open-source orchestration layer for AI workloads across GPU clouds, Kubernetes, VMs, and bare-metal clusters. | Volcano is a cloud-native system for scheduling high-performance workloads on Kubernetes. |
| Workloads | It supports fleets, dev environments, tasks, services, experimental presets, and volumes through YAML configurations. | It schedules Kubernetes workloads and batch jobs for frameworks including Spark, TensorFlow, PyTorch, Flink, Argo, MindSpore, PaddlePaddle, and Ray. |
dstack plans
- dstack OSSFree
- dstack Sky GPU MarketplacePriced on request
Volcano plans
No prices published.
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 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.