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Deeplearning4j vs Paperspace Gradient

What both publish

FactDeeplearning4jPaperspace Gradient
ComputeIt provides native GPU acceleration via CUDA and CPU computation via OpenBLAS and oneDNN.The platform offers on-demand GPU and IPU instances, with per-second instance pricing described on its product page.
PurposeEclipse Deeplearning4j is an open-source, distributed deep learning framework for the JVM.Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models.

Deeplearning4j plans

  • Open-source Deeplearning4jFree

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 Deeplearning4j if…

You want what its maker publishes above — check its page for the details.

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