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JuliaHub vs Paperspace Gradient

JuliaHub

6.3#105 in coding playgrounds
WebAPILinuxSelf-hosted
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What both publish

FactJuliaHubPaperspace Gradient
ComputeCloudStation offers configurable CPU, memory, and GPU resources for parallel computing, with the product page describing scaling to hundreds of nodes.The platform offers on-demand GPU and IPU instances, with per-second instance pricing described on its product page.
Deployment optionsfull_stackfull_stack
NotebooksPluto notebooks run in the cloud and provide reactive cells, web components, and GUI elements bound to Julia variables.Notebooks provide a browser-based Jupyter IDE with persistent shared storage and accelerated CPU, GPU, or multi-GPU machines.
Private projectsYesYes
PurposeJuliaHub is a cloud platform for Julia development, high-performance computing, reproducible workflows, and scalable scientific AI applications.Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models.

JuliaHub plans

  • Enterprise subscriptionPriced on request
  • Standard subscriptionPriced on request
  • Team subscriptionPriced on request

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 JuliaHub 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