Lightning AI Studios vs PaddlePaddle
Lightning AI Studios
lightning.aiPaddlePaddle
paddlepaddle.org.cnSide by side
| Figure | Lightning AI Studios | PaddlePaddle |
|---|---|---|
| Price from | $20/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 9 | 0 |
| Spec score · Deep Learning Software | 9.1 (#1) | 7.4 (#24) |
| Integrations | The Studio documentation describes connecting S3 buckets and EFS volumes through Lightning Drive and importing models from Hugging Face and GitHub. | Paddle Inference documents integrations with TensorRT, cuDNN, oneDNN, and Paddle Lite. |
| Intended users | The pricing page describes Free for students, researchers, and hobbyists; Pro for developers, researchers, and scientists; and Teams for research labs and small teams. | The documentation recommends pip installation for users who only need to use PaddlePaddle and source compilation for developers who need to develop the framework. |
| Purpose | AI Studio is a persistent, collaborative GPU cloud workspace for training models, running inference, building agents and AI apps, and coding together. | PaddlePaddle describes itself as an efficient, flexible, extensible deep learning framework intended to make deep learning innovation and application easier. |
| Self-hosting | LitServe can deploy to Lightning, a private VPC or any self-managed laptop or server. | The framework can be compiled from source on Linux, and its documentation recommends Docker as a simpler compilation environment. |
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
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.
PaddlePaddle
PaddlePaddle has no write-up on Specifiction yet; its figures are above.