Paperspace Gradient
8.3#1 in deep learning softwareFrom $8 a monthFree planWebAPIExtensionLinux
Visit| Fact | Paperspace Gradient | Ray Train |
|---|---|---|
| Intended users | The pricing page describes plans for beginners and individual ML/AI engineers, data scientists, researchers, teams, research groups, and startups. | Ray’s security documentation describes Ray developers running local single-node clusters or remote multi-node clusters on infrastructure provided by platform providers. |
| Purpose | Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models. | Ray Train distributes model training compute to worker processes across a Ray cluster. |
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.
Ray Train suits developers running local single-node or remote multi-node clusters who need distributed model training. It is relevant to teams using supported machine-learning frameworks and CPU or GPU resources.