| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 0 |
| Spec score · Deep Learning Software | 8.0 (#12) | 7.5 (#19) |
| Intended users | The project describes its audience as deep learning researchers and practitioners working on large-scale training and inference. | Keras describes its audience as machine learning engineers and presents guides and examples for model development across common ML use cases. |
| Purpose | DeepSpeed is a deep learning optimization library for distributed model training and inference. | Keras is a Python deep learning API designed to make model development concise, readable, and easier to debug. |
| Support | The GitHub repository says DeepSpeed holds public office hours on the last Tuesday of each month. | The Keras site directs users to its Google Group for questions and development discussion, and GitHub issues for bug reports and feature requests. |
| Training | Its training features include mixed precision, data, model and pipeline parallelism, and the ZeRO optimizer. | Keras provides built-in fit, evaluate, and predict workflows for training, evaluation, and inference. |