--- source_url: "https://en.wikipedia.org/wiki/Kubeflow?utm_source=openai" title: Kubeflow - Wikipedia mirrored_at: 2026-08-13T01:10:40.804Z host: en.wikipedia.org cited_in_42a: true mirror_canonical: "https://index.42a.ai/en.wikipedia.org/wiki/Kubeflow__q__utm_source_openai" --- > **Original source:** https://en.wikipedia.org/wiki/Kubeflow?utm_source=openai From Wikipedia, the free encyclopedia Kubeflow [Original author](https://en.wikipedia.org/wiki/Programmer "Programmer") [Google](https://en.wikipedia.org/wiki/Google "Google") [Developers](https://en.wikipedia.org/wiki/Programmer "Programmer") Kubeflow Contributors[\[1\]](#cite_note-kubeflow_working_groups-1) - [AWS](https://en.wikipedia.org/wiki/AWS "AWS"), [Bloomberg](https://en.wikipedia.org/wiki/Bloomberg_L.P. "Bloomberg L.P."), Google, [IBM](https://en.wikipedia.org/wiki/IBM "IBM"), [Nvidia](https://en.wikipedia.org/wiki/Nvidia "Nvidia"), [Nutanix](https://en.wikipedia.org/wiki/Nutanix "Nutanix"), [Red Hat](https://en.wikipedia.org/wiki/Red_Hat "Red Hat"), Arrikto, and others Release April 5, 2018; 8 years ago[\[2\]](#cite_note-kubeflow_0.1-2) [Stable release](https://en.wikipedia.org/wiki/Software_release_life_cycle "Software release life cycle") 26.03[\[3\]](#cite_note-kubeflow_26.03-3) / March 22, 2026; 4 months ago Written in [Go](https://en.wikipedia.org/wiki/Go_\(programming_language\) "Go (programming language)"), [Python](https://en.wikipedia.org/wiki/Python_\(programming_language\) "Python (programming language)"), [TypeScript](https://en.wikipedia.org/wiki/TypeScript "TypeScript") [Platform](https://en.wikipedia.org/wiki/Computing_platform "Computing platform") [Kubernetes](https://en.wikipedia.org/wiki/Kubernetes "Kubernetes") [Type](https://en.wikipedia.org/wiki/Software_categories#Categorization_approaches "Software categories") [Machine Learning Platform](https://en.wikipedia.org/wiki/Machine_learning#Software "Machine learning") [License](https://en.wikipedia.org/wiki/Software_license "Software license") [Apache License 2.0](https://en.wikipedia.org/wiki/Apache_License_2.0 "Apache License 2.0") Website [kubeflow.org](https://kubeflow.org/) [Repository](https://en.wikipedia.org/wiki/Repository_\(version_control\) "Repository (version control)") [github.com/kubeflow](https://github.com/kubeflow) **Kubeflow** is an [open-source](https://en.wikipedia.org/wiki/Open-source_software "Open-source software") platform for [machine learning](https://en.wikipedia.org/wiki/Machine_learning "Machine learning") and [MLOps](https://en.wikipedia.org/wiki/MLOps "MLOps") on [Kubernetes](https://en.wikipedia.org/wiki/Kubernetes "Kubernetes") introduced by [Google](https://en.wikipedia.org/wiki/Google "Google"). The different stages in a typical [machine learning lifecycle](https://en.wikipedia.org/wiki/MLOps "MLOps") are represented with different [software components](https://en.wikipedia.org/wiki/Component-based_software_engineering "Component-based software engineering") in Kubeflow, including model development _([Kubeflow Notebooks](#Kubeflow_Notebooks)[\[4\]](#cite_note-kubeflow_notebooks-4))_, model training _([Kubeflow Pipelines](#Kubeflow_Pipelines)_,_[\[5\]](#cite_note-kubeflow_pipelines-5) [Kubeflow Training Operator](#Kubeflow_Training_Operator)[\[6\]](#cite_note-kubeflow_training_operator-6))_, model serving _([KServe](#KServe)[\[a\]](#cite_note-kserve_rename-7)[\[7\]](#cite_note-kubeflow_kserve-8))_, and [automated machine learning](https://en.wikipedia.org/wiki/Automated_machine_learning "Automated machine learning") _([Katib](#Katib)[\[8\]](#cite_note-kubeflow_katib-9))_. Each component of Kubeflow can be deployed separately, and it is not a requirement to deploy every component.[\[9\]](#cite_note-kubeflow_install-10) The Kubeflow project was first announced at _[KubeCon + CloudNativeCon North America 2017](https://en.wikipedia.org/wiki/Cloud_Native_Computing_Foundation "Cloud Native Computing Foundation")_ by [Google](https://en.wikipedia.org/wiki/Google "Google") engineers David Aronchick, Jeremy Lewi, and Vishnu Kannan[\[10\]](#cite_note-11) to address a perceived lack of flexible options for building production-ready machine learning systems.[\[11\]](#cite_note-12) The project has also stated it began as a way for Google to open-source how they ran [TensorFlow](https://en.wikipedia.org/wiki/TensorFlow "TensorFlow") internally.[\[12\]](#cite_note-kubeflow_history-13) The first release of Kubeflow (Kubeflow 0.1) was announced at _KubeCon + CloudNativeCon Europe 2018_.[\[13\]](#cite_note-14)[\[14\]](#cite_note-15) 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.[\[15\]](#cite_note-16) In October 2022, Google announced that the Kubeflow project had applied to join the [Cloud Native Computing Foundation](https://en.wikipedia.org/wiki/Cloud_Native_Computing_Foundation "Cloud Native Computing Foundation").[\[16\]](#cite_note-17)[\[17\]](#cite_note-18) In July 2023, the foundation voted to accept Kubeflow as an incubating stage project.[\[18\]](#cite_note-19)[\[19\]](#cite_note-20) ### _Kubeflow Notebooks_ for model development \[[edit](https://en.wikipedia.org/w/index.php?title=Kubeflow&action=edit§ion=3 "Edit section: Kubeflow Notebooks for model development")\] 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](https://en.wikipedia.org/wiki/Jupyter_Notebook "Jupyter Notebook"), [Visual Studio Code](https://en.wikipedia.org/wiki/Visual_Studio_Code "Visual Studio Code"), and [RStudio](https://en.wikipedia.org/wiki/RStudio "RStudio").[\[20\]](#cite_note-kubeflow_notebooks_overview-21) ### _Kubeflow Pipelines_ for model training \[[edit](https://en.wikipedia.org/w/index.php?title=Kubeflow&action=edit§ion=4 "Edit section: Kubeflow Pipelines for model training")\] Once developed, models are trained in the _Kubeflow Pipelines_ component. The component acts as a platform for building and deploying [portable](https://en.wikipedia.org/wiki/Software_portability "Software portability"), scalable machine learning workflows based on Docker containers.[\[21\]](#cite_note-kubeflow_pipelines_intro-22) [Google Cloud Platform](https://en.wikipedia.org/wiki/Google_Cloud_Platform "Google Cloud Platform") has adopted the _Kubeflow Pipelines DSL_ within its _Vertex AI Pipelines_ product.[\[22\]](#cite_note-23) ### _Kubeflow Training Operator_ for model training \[[edit](https://en.wikipedia.org/w/index.php?title=Kubeflow&action=edit§ion=5 "Edit section: Kubeflow Training Operator for model training")\] For certain machine learning models and libraries, the _Kubeflow Training Operator_ component provides [Kubernetes custom resources](https://en.wikipedia.org/wiki/Kubernetes#Operators "Kubernetes") support. The component runs distributed or non-distributed [TensorFlow](https://en.wikipedia.org/wiki/TensorFlow "TensorFlow"), [PyTorch](https://en.wikipedia.org/wiki/PyTorch "PyTorch"), [Apache MXNet](https://en.wikipedia.org/wiki/Apache_MXNet "Apache MXNet"), [XGBoost](https://en.wikipedia.org/wiki/XGBoost "XGBoost"), and [MPI](https://en.wikipedia.org/wiki/Open_MPI "Open MPI") training jobs on Kubernetes.[\[6\]](#cite_note-kubeflow_training_operator-6) ### _KServe_ for model serving \[[edit](https://en.wikipedia.org/w/index.php?title=Kubeflow&action=edit§ion=6 "Edit section: KServe for model serving")\] The _KServe_ component (previously named KFServing[\[23\]](#cite_note-kubeflow_kserve_rename-24)) provides [Kubernetes custom resources](https://en.wikipedia.org/wiki/Kubernetes#Operators "Kubernetes") for serving machine learning models on arbitrary frameworks including [TensorFlow](https://en.wikipedia.org/wiki/TensorFlow "TensorFlow"), [XGBoost](https://en.wikipedia.org/wiki/XGBoost "XGBoost"), [scikit-learn](https://en.wikipedia.org/wiki/Scikit-learn "Scikit-learn"), [PyTorch](https://en.wikipedia.org/wiki/PyTorch "PyTorch"), and [ONNX](https://en.wikipedia.org/wiki/Open_Neural_Network_Exchange "Open Neural Network Exchange").[\[24\]](#cite_note-25) KServe was developed collaboratively by [Google](https://en.wikipedia.org/wiki/Google "Google"), [IBM](https://en.wikipedia.org/wiki/IBM "IBM"), [Bloomberg](https://en.wikipedia.org/wiki/Bloomberg_L.P. "Bloomberg L.P."), [NVIDIA](https://en.wikipedia.org/wiki/NVIDIA "NVIDIA"), and [Seldon](https://en.wikipedia.org/wiki/Seldon_\(company\) "Seldon (company)").[\[23\]](#cite_note-kubeflow_kserve_rename-24) Publicly disclosed adopters of KServe include [Bloomberg](https://en.wikipedia.org/wiki/Bloomberg_L.P. "Bloomberg L.P."),[\[25\]](#cite_note-26) [Gojek](https://en.wikipedia.org/wiki/Gojek "Gojek"),[\[26\]](#cite_note-27) the [Wikimedia Foundation](https://en.wikipedia.org/wiki/Wikimedia_Foundation "Wikimedia Foundation"),[\[27\]](#cite_note-28) and others.[\[28\]](#cite_note-29) ### _Katib_ for automated machine learning \[[edit](https://en.wikipedia.org/w/index.php?title=Kubeflow&action=edit§ion=7 "Edit section: Katib for automated machine learning")\] Lastly, Kubeflow includes a component for [automated training and development of machine learning models](https://en.wikipedia.org/wiki/Automated_machine_learning "Automated machine learning"), the _Katib_ component. It is described as a Kubernetes-native project and features [hyperparameter tuning](https://en.wikipedia.org/wiki/Hyperparameter_optimization "Hyperparameter optimization"), [early stopping](https://en.wikipedia.org/wiki/Early_stopping "Early stopping"), and [neural architecture search](https://en.wikipedia.org/wiki/Neural_architecture_search "Neural architecture search").[\[29\]](#cite_note-30) Release timeline Version Release date Release Information Release Blog Kubeflow 0.1 5 April, 2018[\[2\]](#cite_note-kubeflow_0.1-2) \- [https://kubernetes.io/blog/2018/05/04/announcing-kubeflow-0.1/](https://kubernetes.io/blog/2018/05/04/announcing-kubeflow-0.1/) Kubeflow 0.2 2 July, 2018[\[30\]](#cite_note-kubeflow_0.2-31) \- [https://medium.com/kubeflow/kubeflow-0-2-offers-new-components-and-simplified-setup-735e4c56988d](https://medium.com/kubeflow/kubeflow-0-2-offers-new-components-and-simplified-setup-735e4c56988d) Kubeflow 0.3 5 October, 2018[\[31\]](#cite_note-kubeflow_0.3-32) \- [https://medium.com/kubeflow/kubeflow-0-3-simplifies-setup-improves-ml-development-98b8ca10bd69](https://medium.com/kubeflow/kubeflow-0-3-simplifies-setup-improves-ml-development-98b8ca10bd69) Kubeflow 0.4 8 January, 2019[\[32\]](#cite_note-kubeflow_0.4-33) \- [https://medium.com/kubeflow/kubeflow-0-4-release-enhancements-for-machine-learning-productivity-d77c54df07a9](https://medium.com/kubeflow/kubeflow-0-4-release-enhancements-for-machine-learning-productivity-d77c54df07a9) Kubeflow 0.5 9 April, 2019[\[33\]](#cite_note-kubeflow_0.5-34) \- [https://medium.com/kubeflow/kubeflow-v0-5-simplifies-model-development-with-enhanced-ui-and-fairing-library-78e19cdc9f50](https://medium.com/kubeflow/kubeflow-v0-5-simplifies-model-development-with-enhanced-ui-and-fairing-library-78e19cdc9f50) Kubeflow 0.6 19 July, 2019[\[34\]](#cite_note-kubeflow_0.6-35) [https://www.kubeflow.org/docs/releases/kubeflow-0.6/](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](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[\[35\]](#cite_note-kubeflow_0.7-36) [https://www.kubeflow.org/docs/releases/kubeflow-0.7/](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](https://medium.com/kubeflow/kubeflow-v0-7-delivers-beta-functionality-in-the-leadup-to-v1-0-1e63036c07b8) Kubeflow 1.0 20 February, 2020[\[36\]](#cite_note-kubeflow_1.0-37) [https://www.kubeflow.org/docs/releases/kubeflow-1.0/](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](https://blog.kubeflow.org/releases/2020/03/02/kubeflow-1-0-cloud-native-ml-for-everyone) Kubeflow 1.1 31 July, 2020[\[37\]](#cite_note-kubeflow_1.1-38) [https://www.kubeflow.org/docs/releases/kubeflow-1.1/](https://www.kubeflow.org/docs/releases/kubeflow-1.1/) [https://blog.kubeflow.org/release/official/2020/07/31/kubeflow-1.1-blog-post](https://blog.kubeflow.org/release/official/2020/07/31/kubeflow-1.1-blog-post) Kubeflow 1.2 18 November, 2020[\[38\]](#cite_note-kubeflow_1.2-39) [https://www.kubeflow.org/docs/releases/kubeflow-1.2/](https://www.kubeflow.org/docs/releases/kubeflow-1.2/) [https://blog.kubeflow.org/release/official/2020/11/18/kubeflow-1.2-blog-post](https://blog.kubeflow.org/release/official/2020/11/18/kubeflow-1.2-blog-post) Kubeflow 1.3 23 April, 2021[\[39\]](#cite_note-kubeflow_1.3-40) [https://www.kubeflow.org/docs/releases/kubeflow-1.3/](https://www.kubeflow.org/docs/releases/kubeflow-1.3/) [https://blog.kubeflow.org/kubeflow-1.3-release/](https://blog.kubeflow.org/kubeflow-1.3-release/) Kubeflow 1.4 12 October, 2021[\[40\]](#cite_note-kubeflow_1.4-41) [https://www.kubeflow.org/docs/releases/kubeflow-1.4/](https://www.kubeflow.org/docs/releases/kubeflow-1.4/) [https://blog.kubeflow.org/kubeflow-1.4-release/](https://blog.kubeflow.org/kubeflow-1.4-release/) Kubeflow 1.5 10 March, 2022[\[41\]](#cite_note-kubeflow_1.5-42) [https://www.kubeflow.org/docs/releases/kubeflow-1.5/](https://www.kubeflow.org/docs/releases/kubeflow-1.5/) [https://blog.kubeflow.org/kubeflow-1.5-release/](https://blog.kubeflow.org/kubeflow-1.5-release/) Kubeflow 1.6 7 September, 2022[\[42\]](#cite_note-kubeflow_1.6-43) [https://www.kubeflow.org/docs/releases/kubeflow-1.6/](https://www.kubeflow.org/docs/releases/kubeflow-1.6/) [https://blog.kubeflow.org/kubeflow-1.6-release/](https://blog.kubeflow.org/kubeflow-1.6-release/) Kubeflow 1.7 29 March, 2023[\[43\]](#cite_note-kubeflow_1.7-44) [https://www.kubeflow.org/docs/releases/kubeflow-1.7/](https://www.kubeflow.org/docs/releases/kubeflow-1.7/) [https://blog.kubeflow.org/kubeflow-1.7-release/](https://blog.kubeflow.org/kubeflow-1.7-release/) Kubeflow 1.8 1 November, 2023[\[44\]](#cite_note-kubeflow_1.8-45) [https://www.kubeflow.org/docs/releases/kubeflow-1.8/](https://www.kubeflow.org/docs/releases/kubeflow-1.8/) [https://blog.kubeflow.org/kubeflow-1.8-release/](https://blog.kubeflow.org/kubeflow-1.8-release/) Kubeflow 1.9 22 July, 2024[\[45\]](#cite_note-kubeflow_1.9-46) [https://www.kubeflow.org/docs/releases/kubeflow-1.9/](https://www.kubeflow.org/docs/releases/kubeflow-1.9/) [https://blog.kubeflow.org/kubeflow-1.9-release/](https://blog.kubeflow.org/kubeflow-1.9-release/) Kubeflow 1.10 1 April, 2025[\[46\]](#cite_note-kubeflow_1.10-47) [https://www.kubeflow.org/docs/releases/kubeflow-1.10/](https://www.kubeflow.org/docs/releases/kubeflow-1.10/) [https://blog.kubeflow.org/kubeflow-1.10-release/](https://blog.kubeflow.org/kubeflow-1.10-release/) Kubeflow 1.11 15 December, 2025[\[47\]](#cite_note-kubeflow_1.11-48) [https://www.kubeflow.org/docs/releases/kubeflow-1.11/](https://www.kubeflow.org/docs/releases/kubeflow-1.11/) [https://blog.kubeflow.org/kubeflow-1.11-release/](https://blog.kubeflow.org/kubeflow-1.11-release/) Kubeflow 26.03 22 March, 2026[\[3\]](#cite_note-kubeflow_26.03-3) [https://www.kubeflow.org/docs/releases/kubeflow-26.03/](https://www.kubeflow.org/docs/releases/kubeflow-26.03/) [https://blog.kubeflow.org/kubeflow-26.03-release/](https://blog.kubeflow.org/kubeflow-26.03-release/) 1. [↑](#cite_ref-kserve_rename_7-0) KServe was previously known as KFServing[\[23\]](#cite_note-kubeflow_kserve_rename-24) 1. [↑](#cite_ref-kubeflow_working_groups_1-0) ["Kubeflow Website - Working Groups"](https://kubeflow.org/docs/about/community/#kubeflow-working-groups). 2. [1](#cite_ref-kubeflow_0.1_2-0) [2](#cite_ref-kubeflow_0.1_2-1) ["Kubeflow 0.1 - Release Tag"](https://github.com/kubeflow/kubeflow/releases/tag/v0.1.0/). _[GitHub](https://en.wikipedia.org/wiki/GitHub "GitHub")_. 3. [1](#cite_ref-kubeflow_26.03_3-0) [2](#cite_ref-kubeflow_26.03_3-1) ["Kubeflow 26.03 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-26.03/). 4. [↑](#cite_ref-kubeflow_notebooks_4-0) ["Kubeflow Website - Kubeflow Notebooks"](https://www.kubeflow.org/docs/components/notebooks/). 5. [↑](#cite_ref-kubeflow_pipelines_5-0) ["Kubeflow Website - Kubeflow Pipelines"](https://www.kubeflow.org/docs/components/pipelines/). 6. [1](#cite_ref-kubeflow_training_operator_6-0) [2](#cite_ref-kubeflow_training_operator_6-1) ["Kubeflow GitHub - Kubeflow Training Operator"](https://github.com/kubeflow/training-operator). _[GitHub](https://en.wikipedia.org/wiki/GitHub "GitHub")_. 7. [↑](#cite_ref-kubeflow_kserve_8-0) ["Kubeflow Website - KServe"](https://www.kubeflow.org/docs/external-add-ons/kserve/). 8. [↑](#cite_ref-kubeflow_katib_9-0) ["Kubeflow Website - Katib"](https://www.kubeflow.org/docs/components/katib/). 9. [↑](#cite_ref-kubeflow_install_10-0) ["Kubeflow Website - Installing Kubeflow"](https://www.kubeflow.org/docs/started/installing-kubeflow/). 10. [↑](#cite_ref-11) [""Hot Dogs or Not" - At Scale with Kubernetes \[I\] - Vish Kannan & David Aronchick, Google"](https://www.youtube.com/watch?v=R3dVF5wWz-g). _[YouTube](https://en.wikipedia.org/wiki/YouTube "YouTube")_. 15 December 2017. 11. [↑](#cite_ref-12) ["Introducing Kubeflow - A Composable, Portable, Scalable ML Stack Built for Kubernetes"](https://kubernetes.io/blog/2017/12/introducing-kubeflow-composable/). 21 December 2017. 12. [↑](#cite_ref-kubeflow_history_13-0) ["Kubeflow Website - History"](https://www.kubeflow.org/docs/started/introduction/#history). 13. [↑](#cite_ref-14) ["Google-led Kubeflow, machine learning for Kubernetes, begins to take shape"](https://techcrunch.com/2018/05/04/google-kubeflow-machine-learning-for-kubernetes-begins-to-take-shape/). 4 May 2018. 14. [↑](#cite_ref-15) ["Announcing Kubeflow 0.1"](https://kubernetes.io/blog/2018/05/04/announcing-kubeflow-0.1/). 4 May 2018. 15. [↑](#cite_ref-16) ["Kubeflow 1.0: Cloud-Native ML for Everyone"](https://blog.kubeflow.org/releases/2020/03/02/kubeflow-1-0-cloud-native-ml-for-everyone.html). 2 March 2020. 16. [↑](#cite_ref-17) Lamkin, Thea (2022-10-24). ["Kubeflow has applied to become a CNCF incubating project"](https://blog.kubeflow.org/kubeflow-applied-cncf-incubating/). _Kubeflow_. Retrieved 2023-11-02. 17. [↑](#cite_ref-18) ["Kubeflow applies to become a CNCF incubating project"](https://opensource.googleblog.com/2022/10/kubeflow-applies-to-become-a-cncf-incubating-project.html). _Google Open Source Blog_. 2022-10-24. Retrieved 2023-11-02. 18. [↑](#cite_ref-19) ["Kubeflow brings MLOps to the CNCF Incubator"](https://www.cncf.io/blog/2023/07/25/kubeflow-brings-mlops-to-the-cncf-incubator/). _Cloud Native Computing Foundation_. 2023-07-25. Retrieved 2023-11-02. 19. [↑](#cite_ref-20) ["Kubeflow joins the CNCF family"](https://opensource.googleblog.com/2023/07/kubeflow-joins-cncf-family.html). _Google Open Source Blog_. 2023-07-25. Retrieved 2023-11-02. 20. [↑](#cite_ref-kubeflow_notebooks_overview_21-0) ["Kubeflow Website - Kubeflow Notebooks Overview"](https://www.kubeflow.org/docs/components/notebooks/overview/). 21. [↑](#cite_ref-kubeflow_pipelines_intro_22-0) ["Kubeflow Website - Kubeflow Pipelines Introduction"](https://www.kubeflow.org/docs/components/pipelines/introduction/). 22. [↑](#cite_ref-23) ["Vertex AI - Building a pipeline"](https://cloud.google.com/vertex-ai/docs/pipelines/build-pipeline). 23. [1](#cite_ref-kubeflow_kserve_rename_24-0) [2](#cite_ref-kubeflow_kserve_rename_24-1) ["KServe: The next generation of KFServing"](https://blog.kubeflow.org/release/official/2021/09/27/kfserving-transition). 27 September 2021. 24. [↑](#cite_ref-25) ["KServe GitHub"](https://github.com/kserve/kserve). _[GitHub](https://en.wikipedia.org/wiki/GitHub "GitHub")_. 25. [↑](#cite_ref-26) ["The journey to build Bloomberg's ML Inference Platform Using KServe (formerly KFServing)"](https://www.bloomberg.com/company/stories/the-journey-to-build-bloombergs-ml-inference-platform-using-kserve-formerly-kfserving/). _Bloomberg L.p_. 12 October 2021. 26. [↑](#cite_ref-27) ["Merlin: Making ML Model Deployments Magical"](https://www.gojek.io/blog/merlin-making-ml-model-deployments-magical). 27. [↑](#cite_ref-28) ["Machine Learning/LiftWing"](https://wikitech.wikimedia.org/wiki/Machine_Learning/LiftWing). 28. [↑](#cite_ref-29) ["KServe Website - Adopters of KServe"](https://kserve.github.io/website/master/community/adopters/). 29. [↑](#cite_ref-30) ["Kubeflow GitHub - Katib"](https://github.com/kubeflow/katib). _[GitHub](https://en.wikipedia.org/wiki/GitHub "GitHub")_. 30. [↑](#cite_ref-kubeflow_0.2_31-0) ["Kubeflow 0.2 - Release Tag"](https://github.com/kubeflow/kubeflow/releases/tag/v0.2.0/). _[GitHub](https://en.wikipedia.org/wiki/GitHub "GitHub")_. 31. [↑](#cite_ref-kubeflow_0.3_32-0) ["Kubeflow 0.3 - Release Tag"](https://github.com/kubeflow/kubeflow/releases/tag/v0.3.0/). _[GitHub](https://en.wikipedia.org/wiki/GitHub "GitHub")_. 32. [↑](#cite_ref-kubeflow_0.4_33-0) ["Kubeflow 0.4 - Release Tag"](https://github.com/kubeflow/kubeflow/releases/tag/v0.4.0/). _[GitHub](https://en.wikipedia.org/wiki/GitHub "GitHub")_. 33. [↑](#cite_ref-kubeflow_0.5_34-0) ["Kubeflow 0.5 - Release Tag"](https://github.com/kubeflow/kubeflow/releases/tag/v0.5.0/). _[GitHub](https://en.wikipedia.org/wiki/GitHub "GitHub")_. 34. [↑](#cite_ref-kubeflow_0.6_35-0) ["Kubeflow 0.6 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-0.6/). 35. [↑](#cite_ref-kubeflow_0.7_36-0) ["Kubeflow 0.7 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-0.7/). 36. [↑](#cite_ref-kubeflow_1.0_37-0) ["Kubeflow 1.0 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-1.0/). 37. [↑](#cite_ref-kubeflow_1.1_38-0) ["Kubeflow 1.1 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-1.1/). 38. [↑](#cite_ref-kubeflow_1.2_39-0) ["Kubeflow 1.2 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-1.2/). 39. [↑](#cite_ref-kubeflow_1.3_40-0) ["Kubeflow 1.3 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-1.3/). 40. [↑](#cite_ref-kubeflow_1.4_41-0) ["Kubeflow 1.4 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-1.4/). 41. [↑](#cite_ref-kubeflow_1.5_42-0) ["Kubeflow 1.5 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-1.5/). 42. [↑](#cite_ref-kubeflow_1.6_43-0) ["Kubeflow 1.6 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-1.6/). 43. [↑](#cite_ref-kubeflow_1.7_44-0) ["Kubeflow 1.7 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-1.7/). 44. [↑](#cite_ref-kubeflow_1.8_45-0) ["Kubeflow 1.8 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-1.8/). 45. [↑](#cite_ref-kubeflow_1.9_46-0) ["Kubeflow 1.9 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-1.9/). 46. [↑](#cite_ref-kubeflow_1.10_47-0) ["Kubeflow 1.10 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-1.10/). 47. [↑](#cite_ref-kubeflow_1.11_48-0) ["Kubeflow 1.11 - Release Information"](https://www.kubeflow.org/docs/releases/kubeflow-1.11/). - [Official website](https://www.kubeflow.org/) - [Kubeflow](https://github.com/kubeflow) on [GitHub](https://en.wikipedia.org/wiki/GitHub "GitHub")