DeepSpeed
6.0#19 in deep learning softwareFree planFree planLinuxmacOSSelf-hosted
Visit| Fact | DeepSpeed | Paperspace Gradient |
|---|---|---|
| Intended users | The project describes its audience as deep learning researchers and practitioners working on large-scale training and inference. | The pricing page describes plans for beginners and individual ML/AI engineers, data scientists, researchers, teams, research groups, and startups. |
| Purpose | DeepSpeed is a deep learning optimization library for distributed model training and inference. | Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models. |
DeepSpeed is aimed at deep-learning researchers and practitioners working on large-scale training and inference. It may suit Python users seeking distributed training, model parallelism or inference optimization.
Gradient is aimed at people and teams developing or serving machine learning models, including engineers, data scientists, researchers, and startups. Its browser notebooks, collaboration features, and deployment endpoints support different stages of model work.