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Paperspace Gradient vs Ray Train

Ray Train

6.0#21 in deep learning softwareFree plan
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What both publish

FactPaperspace GradientRay Train
Intended usersThe 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.
PurposeGradient 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.

Paperspace Gradient plans

  • Free (Individual)Free
  • Pro (Individual)$8 a month
  • Growth (Individual)$39 a month
  • Free (Team)Free
  • Pro (Team)$12 a month
  • Growth (Team)$39 a month

Ray Train plans

  • Ray TrainFree

Pick Paperspace Gradient if…

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.

Pick Ray Train if…

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.

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