Kubeflow Platform

A Kubeflow Platform is a free open-source cloud-native ML platform.

• Context:
  • It can include a Kubeflow Pipelines Platform.
  • …
• Example(s):
  • Kubeflow v1.0 (~2020-03-10) [1].
  • Kubeflow v1.2 (~2020-11-20) [2].
  • …
• Counter-Example(s):
  • MLflow.
• See: Kubernetes, Kubeflow Pipeline, TensorFlow, Seldon Core, Argo Project Tool.

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References

2020

• https://github.com/kubeflow/kubeflow
  • QUOTE: Kubeflow is a Cloud Native platform for machine learning based on Google’s internal machine learning pipelines.

2019a

• (Wikipedia, 2019) ⇒ https://en.wikipedia.org/wiki/Kubeflow Retrieved:2019-10-2.
  • Kubeflow is a free and open-source software platform developed by Google and first released in 2018. Kubeflow is designed to develop machine learning applications (e.g. using TensorFlow and to deploy these to Kubernetes. Kubeflow was based on Google's internal method to deploy TensorFlow models to Kubernetes called TensorFlow Extended.

2019b

• https://www.kubeflow.org/
  • QUOTE: ... The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow. …

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