dstack
Free tierOpen-source GPU orchestration control plane for any cloud, Kubernetes, or on-prem cluster
Free tier available·Technical·API available·Open source
Key strengths
Unified GPU orchestration across clouds, Kubernetes, VMs, and bare-metalSupports NVIDIA, AMD, TPU, and Tenstorrent acceleratorsSelf-hostable open-source with Mozilla Public License 2.0Supports training, inference, dev environments, and fleet managementAuto-scaling, port-forwarding, ingress handlingProgrammatic API and CLI support
Free tier + paid plans
Founded 2022
Self-hostable
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dstack exposes both a CLI and a programmatic API, allowing teams to define and launch workloads declaratively or integrate orchestration directly into existing pipelines.
Integration surface:
- Cloud providers: AWS, GCP, Lambda, Crusoe, Nebius
- Orchestration targets: Kubernetes, VMs, bare-metal
- Inference runtimes: SGLang, Dynamo, vLLM, NIM, TensorRT-LLM
- Training frameworks: TRL, Axolotl, Ray
- Hardware backends: NVIDIA, AMD, TPU, Tenstorrent
Core operational features available via API/CLI:
- Workload scheduling across heterogeneous compute pools
- Auto-scaling policies for inference fleets
- Port-forwarding and ingress configuration for serving endpoints
- Fleet management for multi-node and distributed workloads
- Dev environment provisioning on remote GPU instances
dstack is self-hostable under the Mozilla Public License 2.0. Source code and documentation are available via the project's GitHub repository (2,270+ stars).
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