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JAX vs Paperspace Gradient

JAX

6.3#12 in deep learning softwareFree plan
Free planLinuxmacOSSelf-hostedWindows
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JAX plans

  • JAXFree

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

Pick JAX if…

JAX is suited to Python researchers and engineers working on numerical computing or machine learning at scale, especially those targeting multiple accelerator backends. Users who need distributed coordination should account for the documented security defaults.

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.

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