GPU orchestration: 2 tools compared
Tools that launch, schedule and manage GPU workloads across clouds and clusters. Listed by name. A starting price is the vendor's own, as checked on the date shown; it is not monitored.
Open-source control plane for GPU provisioning and orchestration that runs dev environments, training tasks and inference services across GPU clouds, Kubernetes, Slurm and on-prem servers. Configurations are YAML files applied with the dstack CLI against a self-hosted server or the hosted dstack Sky.
Open sourceSelf-hostableFree tierWorks with 15 of the GPU clouds we trackOpen-source system for launching and managing AI jobs, clusters and model serving across Kubernetes, Slurm and cloud providers from one CLI. A separate commercial SkyPilot Platform adds managed hosting and team features such as quotas, SSO and support.
Open sourceSelf-hostableFree tierWorks with 15 of the GPU clouds we track
| Tool | Pricing model | Free tier | Self-hostable | Open source | Starting price | Works with |
|---|---|---|---|---|---|---|
 dstackOpen-source control plane for GPU provisioning and orchestration that runs dev environments, training tasks and inference services across GPU clouds, Kubernetes, Slurm and on-prem servers. Configurations are YAML files applied with the dstack CLI against a self-hosted server or the hosted dstack Sky. | Free tier and paid plans | Yes | Yes | Yes (MPL-2.0) | — | 15 of the GPU clouds we track |
 SkyPilotOpen-source system for launching and managing AI jobs, clusters and model serving across Kubernetes, Slurm and cloud providers from one CLI. A separate commercial SkyPilot Platform adds managed hosting and team features such as quotas, SSO and support. | Free tier and paid plans | Yes | Yes | Yes (Apache-2.0) | — | 15 of the GPU clouds we track |
