| Website | dstack.ai |
| Category | AI / Infrastructure |
| License | MPL 2.0 (open source) |
| Pricing | Free (open source), Enterprise available |
Overview
dstack manages AI infrastructure across any cloud. Run training jobs, dev environments, and services on AWS, GCP, Azure, or your own GPUs.
Pros
- Open source (MPL 2.0)
- Multi-cloud GPU management
- Training job orchestration
- Dev environment provisioning
- Spot instance support
- Cost optimization
Cons
- GPU availability depends on clouds
- Setup requires cloud credentials
- Smaller community
- Documentation evolving
- Enterprise features limited
Verdict
dstack is the infrastructure layer between your AI code and the cloud GPUs it needs. Instead of manually provisioning instances, configuring environments, and managing costs across providers, dstack handles it through declarative YAML configs. Train on the cheapest available GPUs, automatically fall back to other providers, and track costs — all from a single tool.