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DeepSpeed vs Paperspace Gradient

DeepSpeed

6.0#19 in deep learning softwareFree plan
Free planLinuxmacOSSelf-hosted
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What both publish

FactDeepSpeedPaperspace Gradient
Intended usersThe project describes its audience as deep learning researchers and practitioners working on large-scale training and inference.The pricing page describes plans for beginners and individual ML/AI engineers, data scientists, researchers, teams, research groups, and startups.
PurposeDeepSpeed is a deep learning optimization library for distributed model training and inference.Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models.

DeepSpeed plans

  • DeepSpeedFree

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 DeepSpeed if…

DeepSpeed is aimed at deep-learning researchers and practitioners working on large-scale training and inference. It may suit Python users seeking distributed training, model parallelism or inference optimization.

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