Software:Kubeflow

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Short description: Open-source machine learning platform
Kubeflow
Kubeflow-logo.png
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; 8 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[lower-alpha 1][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]

History

The Kubeflow project was first announced at KubeCon + CloudNativeCon North America 2017 by Google engineers David Aronchick, Jeremy Lewi, and Vishnu Kannan[10] to address a perceived lack of flexible options for building production-ready machine learning systems.[11] The project has also stated it began as a way for Google to open-source how they ran TensorFlow internally.[12]

The first release of Kubeflow (Kubeflow 0.1) was announced at KubeCon + CloudNativeCon Europe 2018[13].[14] Kubeflow 1.0 was released in March 2020 via a public blog post announcing that many Kubeflow components were graduating to a "stable status", indicating they were now ready for production usage.[15]

In October 2022, Google announced that the Kubeflow project had applied to join the Cloud Native Computing Foundation.[16][17] In July 2023, the foundation voted to accept Kubeflow as an incubating stage project.[18][19]

Components

Kubeflow Notebooks for model development

Machine learning models are developed in the notebooks component called Kubeflow Notebooks. The component runs web-based development environments inside a Kubernetes cluster, with native support for Jupyter Notebook, Visual Studio Code, and RStudio.[20]

Kubeflow Pipelines for model training

Once developed, models are trained in the Kubeflow Pipelines component. The component acts as a platform for building and deploying portable, scalable machine learning workflows based on Docker containers.[21] Google Cloud Platform has adopted the Kubeflow Pipelines DSL within its Vertex AI Pipelines product.[22]

Kubeflow Training Operator for model training

For certain machine learning models and libraries, the Kubeflow Training Operator component provides Kubernetes custom resources support. The component runs distributed or non-distributed TensorFlow, PyTorch, Apache MXNet, XGBoost, and MPI training jobs on Kubernetes.[6]

KServe for model serving

The KServe component (previously named KFServing[23]) provides Kubernetes custom resources for serving machine learning models on arbitrary frameworks including TensorFlow, XGBoost, scikit-learn, PyTorch, and ONNX.[24] KServe was developed collaboratively by Google, IBM, Bloomberg, NVIDIA, and Seldon.[23] Publicly disclosed adopters of KServe include Bloomberg,[25] Gojek,[26] and others.[27]

Katib for automated machine learning

Lastly, Kubeflow includes a component for automated training and development of machine learning models, the Katib component. It is described as a Kubernetes-native project and features hyperparameter tuning, early stopping, and neural architecture search.[28]

Release timeline

Release timeline
Version Release Date Release Information Release Blog
Kubeflow 0.1 5 April, 2018[2] - https://kubernetes.io/blog/2018/05/04/announcing-kubeflow-0.1/
Kubeflow 0.2 2 July, 2018[29] - https://medium.com/kubeflow/kubeflow-0-2-offers-new-components-and-simplified-setup-735e4c56988d
Kubeflow 0.3 5 October, 2018[30] - https://medium.com/kubeflow/kubeflow-0-3-simplifies-setup-improves-ml-development-98b8ca10bd69
Kubeflow 0.4 8 January, 2019[31] - https://medium.com/kubeflow/kubeflow-0-4-release-enhancements-for-machine-learning-productivity-d77c54df07a9
Kubeflow 0.5 9 April, 2019[32] - https://medium.com/kubeflow/kubeflow-v0-5-simplifies-model-development-with-enhanced-ui-and-fairing-library-78e19cdc9f50
Kubeflow 0.6 19 July, 2019[33] https://www.kubeflow.org/docs/releases/kubeflow-0.6/ https://medium.com/kubeflow/kubeflow-v0-6-a-robust-foundation-for-artifact-tracking-data-versioning-multi-user-support-9896d329412c
Kubeflow 0.7 17 October, 2019[34] https://www.kubeflow.org/docs/releases/kubeflow-0.7/ https://medium.com/kubeflow/kubeflow-v0-7-delivers-beta-functionality-in-the-leadup-to-v1-0-1e63036c07b8
Kubeflow 1.0 20 February, 2020[35] https://www.kubeflow.org/docs/releases/kubeflow-1.0/ https://blog.kubeflow.org/releases/2020/03/02/kubeflow-1-0-cloud-native-ml-for-everyone
Kubeflow 1.1 31 July, 2020[36] https://www.kubeflow.org/docs/releases/kubeflow-1.1/ https://blog.kubeflow.org/release/official/2020/07/31/kubeflow-1.1-blog-post
Kubeflow 1.2 18 November, 2020[37] https://www.kubeflow.org/docs/releases/kubeflow-1.2/ https://blog.kubeflow.org/release/official/2020/11/18/kubeflow-1.2-blog-post
Kubeflow 1.3 23 April, 2021[38] https://www.kubeflow.org/docs/releases/kubeflow-1.3/ https://blog.kubeflow.org/kubeflow-1.3-release/
Kubeflow 1.4 12 October, 2021[39] https://www.kubeflow.org/docs/releases/kubeflow-1.4/ https://blog.kubeflow.org/kubeflow-1.4-release/
Kubeflow 1.5 10 March, 2022[40] https://www.kubeflow.org/docs/releases/kubeflow-1.5/ https://blog.kubeflow.org/kubeflow-1.5-release/
Kubeflow 1.6 7 September, 2022[41] https://www.kubeflow.org/docs/releases/kubeflow-1.6/ https://blog.kubeflow.org/kubeflow-1.6-release/
Kubeflow 1.7 29 March, 2023[42] https://www.kubeflow.org/docs/releases/kubeflow-1.7/ https://blog.kubeflow.org/kubeflow-1.7-release/
Kubeflow 1.8 1 November, 2023[3] https://www.kubeflow.org/docs/releases/kubeflow-1.8/ https://blog.kubeflow.org/kubeflow-1.8-release/

Notes

  1. ↑ KServe was previously known as KFServing[23]

References

  1. ↑ "Kubeflow Website - Working Groups" (in en). https://kubeflow.org/docs/about/community/#kubeflow-working-groups. 
  2. ↑ 2.0 2.1 "Kubeflow 0.1 - Release Tag" (in en). https://github.com/kubeflow/kubeflow/releases/tag/v0.1.0/. 
  3. ↑ 3.0 3.1 "Kubeflow 1.8 - Release Information" (in en). https://www.kubeflow.org/docs/releases/kubeflow-1.8/. 
  4. ↑ "Kubeflow Website - Kubeflow Notebooks" (in en). https://www.kubeflow.org/docs/components/notebooks/. 
  5. ↑ "Kubeflow Website - Kubeflow Pipelines" (in en). https://www.kubeflow.org/docs/components/pipelines/. 
  6. ↑ 6.0 6.1 "Kubeflow GitHub - Kubeflow Training Operator" (in en). https://github.com/kubeflow/training-operator. 
  7. ↑ "Kubeflow Website - KServe" (in en). https://www.kubeflow.org/docs/external-add-ons/kserve/. 
  8. ↑ "Kubeflow Website - Katib" (in en). https://www.kubeflow.org/docs/components/katib/. 
  9. ↑ "Kubeflow Website - Installing Kubeflow" (in en). https://www.kubeflow.org/docs/started/installing-kubeflow/. 
  10. ↑ ""Hot Dogs or Not" - At Scale with Kubernetes [I - Vish Kannan & David Aronchick, Google"] (in en). https://www.youtube.com/watch?v=R3dVF5wWz-g. 
  11. ↑ "Introducing Kubeflow - A Composable, Portable, Scalable ML Stack Built for Kubernetes" (in en). 21 December 2017. https://kubernetes.io/blog/2017/12/introducing-kubeflow-composable/. 
  12. ↑ "Kubeflow Website - History" (in en). https://www.kubeflow.org/docs/started/introduction/#history. 
  13. ↑ "Google-led Kubeflow, machine learning for Kubernetes, begins to take shape" (in en). 4 May 2018. https://techcrunch.com/2018/05/04/google-kubeflow-machine-learning-for-kubernetes-begins-to-take-shape/. 
  14. ↑ "Announcing Kubeflow 0.1" (in en). 4 May 2018. https://kubernetes.io/blog/2018/05/04/announcing-kubeflow-0.1/. 
  15. ↑ "Kubeflow 1.0: Cloud-Native ML for Everyone" (in en). 2 March 2020. https://blog.kubeflow.org/releases/2020/03/02/kubeflow-1-0-cloud-native-ml-for-everyone.html. 
  16. ↑ Lamkin, Thea (2022-10-24). "Kubeflow has applied to become a CNCF incubating project" (in en). https://blog.kubeflow.org/kubeflow-applied-cncf-incubating/. 
  17. ↑ "Kubeflow applies to become a CNCF incubating project". 2022-10-24. https://opensource.googleblog.com/2022/10/kubeflow-applies-to-become-a-cncf-incubating-project.html. 
  18. ↑ "Kubeflow brings MLOps to the CNCF Incubator" (in en-US). 2023-07-25. https://www.cncf.io/blog/2023/07/25/kubeflow-brings-mlops-to-the-cncf-incubator/. 
  19. ↑ "Kubeflow joins the CNCF family". 2023-07-25. https://opensource.googleblog.com/2023/07/kubeflow-joins-cncf-family.html. 
  20. ↑ "Kubeflow Website - Kubeflow Notebooks Overview" (in en). https://www.kubeflow.org/docs/components/notebooks/overview/. 
  21. ↑ "Kubeflow Website - Kubeflow Pipelines Introduction" (in en). https://www.kubeflow.org/docs/components/pipelines/introduction/. 
  22. ↑ "Vertex AI - Building a pipeline" (in en). https://cloud.google.com/vertex-ai/docs/pipelines/build-pipeline. 
  23. ↑ 23.0 23.1 23.2 "KServe: The next generation of KFServing" (in en). 27 September 2021. https://blog.kubeflow.org/release/official/2021/09/27/kfserving-transition. 
  24. ↑ "KServe GitHub" (in en). https://github.com/kserve/kserve. 
  25. ↑ "The journey to build Bloomberg's ML Inference Platform Using KServe (formerly KFServing)" (in en). Bloomberg L.p.. 12 October 2021. https://www.bloomberg.com/company/stories/the-journey-to-build-bloombergs-ml-inference-platform-using-kserve-formerly-kfserving/. 
  26. ↑ "Merlin: Making ML Model Deployments Magical" (in en). https://www.gojek.io/blog/merlin-making-ml-model-deployments-magical. 
  27. ↑ "KServe Website - Adopters of KServe" (in en). https://kserve.github.io/website/master/community/adopters/. 
  28. ↑ "Kubeflow GitHub - Katib" (in en). https://github.com/kubeflow/katib. 
  29. ↑ "Kubeflow 0.2 - Release Tag" (in en). https://github.com/kubeflow/kubeflow/releases/tag/v0.2.0/. 
  30. ↑ "Kubeflow 0.3 - Release Tag" (in en). https://github.com/kubeflow/kubeflow/releases/tag/v0.3.0/. 
  31. ↑ "Kubeflow 0.4 - Release Tag" (in en). https://github.com/kubeflow/kubeflow/releases/tag/v0.4.0/. 
  32. ↑ "Kubeflow 0.5 - Release Tag" (in en). https://github.com/kubeflow/kubeflow/releases/tag/v0.5.0/. 
  33. ↑ "Kubeflow 0.6 - Release Information" (in en). https://www.kubeflow.org/docs/releases/kubeflow-0.6/. 
  34. ↑ "Kubeflow 0.7 - Release Information" (in en). https://www.kubeflow.org/docs/releases/kubeflow-0.7/. 
  35. ↑ "Kubeflow 1.0 - Release Information" (in en). https://www.kubeflow.org/docs/releases/kubeflow-1.0/. 
  36. ↑ "Kubeflow 1.1 - Release Information" (in en). https://www.kubeflow.org/docs/releases/kubeflow-1.1/. 
  37. ↑ "Kubeflow 1.2 - Release Information" (in en). https://www.kubeflow.org/docs/releases/kubeflow-1.2/. 
  38. ↑ "Kubeflow 1.3 - Release Information" (in en). https://www.kubeflow.org/docs/releases/kubeflow-1.3/. 
  39. ↑ "Kubeflow 1.4 - Release Information" (in en). https://www.kubeflow.org/docs/releases/kubeflow-1.4/. 
  40. ↑ "Kubeflow 1.5 - Release Information" (in en). https://www.kubeflow.org/docs/releases/kubeflow-1.5/. 
  41. ↑ "Kubeflow 1.6 - Release Information" (in en). https://www.kubeflow.org/docs/releases/kubeflow-1.6/. 
  42. ↑ "Kubeflow 1.7 - Release Information" (in en). https://www.kubeflow.org/docs/releases/kubeflow-1.7/. 

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