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Kubeflow information


Kubeflow
Original author(s)Google
Developer(s)Kubeflow Contributors[1] - AWS, Bloomberg, Google, IBM, NVIDIA, Nutanix, Red Hat, Arrikto, and others
Initial releaseApril 5, 2018; 6 years ago (2018-04-05)[2]
Stable release
1.8[3] / November 1, 2023; 6 months ago (2023-11-01)
Repositorygithub.com/kubeflow
Written inGo, Python
PlatformKubernetes
TypeMachine Learning Platform
LicenseApache License 2.0
Websitekubeflow.org

Kubeflow is an open-source platform for machine learning and MLOps on Kubernetes introduced by Google. The different stages in a typical machine learning lifecycle are represented with different software components in Kubeflow, including model development (Kubeflow Notebooks[4]), model training (Kubeflow Pipelines,[5] Kubeflow Training Operator[6]), model serving (KServe[a][7]), and automated machine learning (Katib[8]).

Each component of Kubeflow can be deployed separately, and it is not a requirement to deploy every component.[9]

  1. ^ Cite error: The named reference kubeflow_working_groups was invoked but never defined (see the help page).
  2. ^ Cite error: The named reference kubeflow_0.1 was invoked but never defined (see the help page).
  3. ^ Cite error: The named reference kubeflow_1.8 was invoked but never defined (see the help page).
  4. ^ Cite error: The named reference kubeflow_notebooks was invoked but never defined (see the help page).
  5. ^ Cite error: The named reference kubeflow_pipelines was invoked but never defined (see the help page).
  6. ^ Cite error: The named reference kubeflow_training_operator was invoked but never defined (see the help page).
  7. ^ Cite error: The named reference kubeflow_kserve was invoked but never defined (see the help page).
  8. ^ Cite error: The named reference kubeflow_katib was invoked but never defined (see the help page).
  9. ^ Cite error: The named reference kubeflow_install was invoked but never defined (see the help page).


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