Lightning AI Studios vs RunPy
Lightning AI Studios
lightning.aiRunPy
runpy.co.ukSide by side
| Figure | Lightning AI Studios | RunPy |
|---|---|---|
| Price from | $20/mo | £7.08/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 9 | 10 |
| Spec score · Coding Playgrounds | 9.3 (#6) | 8.1 (#62) |
| Deployment options | full_stack | none |
| Free plan | Yes | Yes |
| Full-stack runtime | Yes | No |
| Integrations | The Studio documentation describes connecting S3 buckets and EFS volumes through Lightning Drive and importing models from Hugging Face and GitHub. | A one-click copy feature can put code into Google Classroom, OneNote or another existing workflow. |
| Private projects | Yes | Yes |
| Sharing controls | access_control | link_access |
| Support | Lightning lists email, Discord, and Twitter as support channels, and a dedicated Slack channel for enterprise support. | RunPy lists support by email at [email protected] and says paid teachers receive priority email support. |
Plans
Lightning AI Studios
- FreeFree
- FreeFree
- Pro$20 a month
- Pro (annual)$20 a month
- Pro (monthly)$50 a month
- Teams$119 a month
- Teams (annual)$119 a month
- Teams (monthly)$140 a month
- EnterprisePriced on request
RunPy
- Free TeacherFree
- Paid Teacher£19 a month
- StudentFree
- Student all-lessons unlock£24.99 a month
- Additional teacher account£8 a month
- Additional teacher (monthly)£8 a month
- Paid Teacher (monthly)£19 a month
- Student lifetime unlock£24.99, paid once
- Additional teacher (yearly)£85 a year
- Paid Teacher (yearly)£185 a year
In their own words
Lightning AI Studios
Lightning AI Studios is a cloud workspace for training models, running inference, building agents and AI apps, and coding collaboratively. Its persistent environments save installed packages, custom Python versions, and downloaded files. Studios offer browser-accessible VS Code and JupyterLab, plus AI copilots for AI and machine-learning work, including CUDA and PyTorch debugging. Teams can collaborate in real time on private projects, use a full-stack runtime, and deploy full-stack applications. Users can connect S3 buckets and EFS volumes through Lightning Drive, import models from Hugging Face and GitHub, or connect local IDEs such as VS Code, Cursor, and PyCharm over SSH. An SDK supports workflow automation. The Free plan is free and includes one active Studio, 50 GB persistent storage, and up to two concurrent GPUs; that Studio requires a restart every four hours. Pro and Teams plans have higher storage and GPU limits. Enterprise offers deployment in a customer VPC using AWS or GCP cloud credits.