
dstack
6.9#2 in gpu cluster management softwareFree planFree planWebAPILinuxmacOS
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| Fact | dstack | SkyPilot |
|---|---|---|
| Integrations | Listed backend types include AWS, Azure, GCP, Kubernetes, Slurm, Runpod, Nebius, Lambda, and other cloud providers. | The site lists Kubernetes, Slurm, AWS, GCP, Azure, Nebius, CoreWeave, Lambda, RunPod, and other cloud and compute providers. |
| Purpose | dstack is an open-source orchestration layer for AI workloads on heterogeneous accelerators, including GPU clouds, Kubernetes, VMs, and bare-metal clusters. | SkyPilot is an AI compute platform for managing Kubernetes, Slurm, VMs, on-premises systems, and cloud resources through one interface. |
| Support | The documentation directs users to report issues on GitHub and ask questions in the dstack Discord server. | The maker invites users to connect with the SkyPilot team and community through Slack. |
| Workloads | It supports fleets, dev environments, tasks, services, experimental presets, and volumes through YAML configurations. | The platform supports AI development, pre-training, post-training and reinforcement learning, batch inference, sandboxes, and inference endpoints. |
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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.
SkyPilot suits AI teams managing workloads across cloud, Kubernetes, Slurm, VMs, and on-premises infrastructure. The platform offering is positioned for teams with large GPU fleets and demanding AI workloads.