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MLX vs Paperspace Gradient

MLX

6.2#14 in deep learning softwareFree plan
Free planiOSLinuxmacOS
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What both publish

FactMLXPaperspace Gradient
PurposeMLX is an array framework designed for efficient and flexible machine learning research on Apple silicon.Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models.

MLX plans

  • MLXFree

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 MLX if…

It suits machine learning researchers working with Apple silicon who want a free framework for model training and deployment. Its language bindings and listed formats support several development setups.

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.

Charts they share