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Paperspace vs Ray

Paperspace: Cloud GPU machines and notebooks for AI development Ray: Open source Python framework for scaling AI and ML workloads

Comparison of Paperspace, Ray
Paperspace
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Ray
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CategoryGPU CloudsMLOps
PricingPaidPer-second billing, pay as you goOpen sourceApache-2.0 licence
Platforms
  • Web
–
Best for
  • ML developers
  • Data scientists
  • Startups
  • ML engineers
  • Data platform teams
  • Backend teams
Highlights
  • Start notebooks for quick prototypes
  • Run GPU machines including NVIDIA H100
  • Use templates for fast setup
  • Run ordinary Python code across many machines
  • Distributed training for machine learning models
  • Model serving with independent scaling per model
GitHub stars–44.2k
Last update–2 days ago

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