Keras vs Lightning AI Studios
Keras
keras.ioLightning AI Studios
lightning.aiSide by side
| Figure | Keras | Lightning AI Studios |
|---|---|---|
| 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 |
| Self-hosted | — | Yes |
| Plans published | 0 | 9 |
| Spec score · Deep Learning Software | 7.5 (#19) | 9.1 (#1) |
| Data integrations | Keras models can use NumPy arrays, Pandas dataframes, TensorFlow tf.data datasets, PyTorch DataLoaders, and Keras PyDataset objects. | Data connections support AWS S3, Google Cloud Storage, Cloudflare R2, AWS EFS and Snowflake. |
| Founded | 2015 | Lightning AI says founder William Falcon started the company in 2019 with Luis Capelo when it was called Grid.ai. |
| Intended users | Keras describes its audience as machine learning engineers and presents guides and examples for model development across common ML use cases. | The pricing page describes Free for students, researchers, and hobbyists; Pro for developers, researchers, and scientists; and Teams for research labs and small teams. |
| Purpose | Keras is a Python deep learning API designed to make model development concise, readable, and easier to debug. | AI Studio is a persistent, collaborative GPU cloud workspace for training models, running inference, building agents and AI apps, and coding together. |
| Support | The Keras site directs users to its Google Group for questions and development discussion, and GitHub issues for bug reports and feature requests. | Lightning lists email, Discord, and Twitter as support channels, and a dedicated Slack channel for enterprise 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
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.