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Horovod vs Paperspace Gradient

Horovod

6.0#20 in deep learning softwareFree plan
Free planAPILinuxmacOSSelf-hosted
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What both publish

FactHorovodPaperspace Gradient
PurposeHorovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch and Apache MXNet.Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models.

Horovod plans

  • HorovodFree

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 Horovod if…

Horovod suits Python teams training TensorFlow, Keras, PyTorch or MXNet models across multiple GPUs. It is also relevant for deployments using Spark or other listed runtime environments.

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