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Kubeflow vs Ray

Kubeflow: Open source toolkit for running ML workloads on Kubernetes Ray: Open source Python framework for scaling AI and ML workloads

Comparison of Kubeflow, Ray
Kubeflow
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Ray
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CategoryMLOpsMLOps
PricingOpen sourceOpen sourceApache-2.0 licence
Best for
  • Platform engineers
  • ML engineers
  • Data teams
  • ML engineers
  • Data platform teams
  • Backend teams
Highlights
  • Interactive notebooks on Kubernetes
  • Distributed training across frameworks such as PyTorch and JAX
  • Automated tuning of model hyperparameters
  • Run ordinary Python code across many machines
  • Distributed training for machine learning models
  • Model serving with independent scaling per model
GitHub stars16k44.2k
Last update1 month ago2 days ago

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