Lightning AI vs SkyPilot
A side-by-side comparison of Lightning AI and SkyPilot, two Infra tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Lightning AI | SkyPilot |
|---|---|---|
| Category | Infra | Infra |
| Pricing (differs) | FREEMIUM | FREE |
| License (differs) | Proprietary | Open source |
| Deployment (differs) | Hybrid | — |
| Platforms (differs) | Web, CLI, API | CLI, API, Linux, macOS |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Lightning AI | SkyPilot |
The honest brief
Lightning AI
From the PyTorch Lightning team — Studios are persistent GPU workspaces you pause and resume, not throwaway notebooks.
- Pause/resume persistent GPU Studios
- Code, train, serve, build agents in one place
- Bring-your-own-cloud for enterprise
- Monthly free GPU credits
- Pay-as-you-go can add up
- Tied to its Studio environment
- Less raw control than bare cloud
SkyPilot
Declarative task-level orchestration that fails over across 20+ clouds and Kubernetes chasing the cheapest available GPUs.
- One interface across many clouds and Kubernetes
- Auto cost/availability optimization, spot failover
- Runs on your own cloud accounts
- Abstracts away per-provider setup
- Task-level tool, not a full managed platform
- You bring and pay for the underlying cloud
- Less turnkey than hosted GPU providers
- Requires some cloud/infra comfort