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BentoML vs Kubeflow

BentoML: Open source framework for packaging and serving ML models Kubeflow: Open source toolkit for running ML workloads on Kubernetes

Comparison of BentoML, Kubeflow
BentoML
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Kubeflow
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CategoryMLOpsMLOps
PricingOpen sourceOpen source
Best for
  • ML engineers
  • Platform teams
  • Inference teams
  • Platform engineers
  • ML engineers
  • Data teams
Highlights
  • Package models and custom inference pipelines
  • Serve models as production APIs
  • Deploy on your own cloud, on premises or Kubernetes
  • Interactive notebooks on Kubernetes
  • Distributed training across frameworks such as PyTorch and JAX
  • Automated tuning of model hyperparameters
GitHub stars8.9k16k
Last update6 days ago1 month ago

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