Kubeflow
Engineering Software · California, United States · 51-200 Employees
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Overview
Headquarters
Mountain View, California, United StatesWebsite
www.kubeflow.orgRevenue
<$5 MillionIndustry
ZI Rank: 1
Signal Type
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ZI Rank
1
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About Kubeflow
Kubeflow is a foundation of tools designed for AI platforms on Kubernetes, enabling AI platform teams to build and deploy machine learning workflows efficiently. The platform is modular, portable, and scalable, supporting various stages of the AI lifecycle. Key components include Kubeflow Pipelines for workflow management, Kubeflow Notebooks for interactive development, and Kubeflow KServe for AI inference. Kubeflow is an open-source project backed by a community of developers and organizations, making it a trusted choice for deploying machine learning applications.Explore more
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Revenue
Number of Employees
Type
Funding
Founded In
Kubeflow
<$5M
51-200
Private
-
-
N/A
$15.1M
11-50
Private
<$5M
2011
AL
Alberto LasarteVice President, Partnerships Strategic Alliances & Strategic Advisor
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Kubeflow is experiencing very low activity levels compared to other companies in the Software sector.
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Kubeflow Tech Stack
A closer look at the technologies used by Kubeflow
Kubeflow News & Media
Kubernetes ML optimizer, Kubeflow, improves data preprocessing with v1.6
Kubernetes optimizer for machine learning, Kubeflow, has released v1.6, with security updates, improved runtimes and updated AI modeling.Comet Expands Alliances Across the Complete Machine Learning Lifecycle
NEW YORK--(BUSINESS WIRE)-- #AI--Comet, provider of the leading development platform for machine learning (ML) teams from startup to enterprise, today announced several integrations – including Ray, Kubeflow, and Google Vertex AI – that will eliminate complexity, provide optionality, and bolster scalability across the entire machine learning lifecycle. These integrations deliver on Comet’s commitment to providing a ML platform that allows data scientists and ML practitioners to use the best toolIBM open-sources Kubeflow Pipelines on Tekton for portable machine learning models
IBM Corp. said today it’s hoping to provide a standardized solution for developers to create and deploy machine learning models in production and make them portable to any cloud platform. To do so, it said it’s open-sourcing the Kubeflow machine learning platform on Tekton, a continuous integration/continuous development platform developed by Google LLC. It’s popular […] The post IBM open-sources Kubeflow Pipelines on Tekton for portable machine learning models appeared first on SiliconANGLE.Kubeflow 1.0 solves machine learning workflows with Kubernetes
Kubeflow, Google’s solution for deploying machine learning stacks on Kubernetes, is now available as an official 1.0 release. Kubeflow was built to address two major issues with machine learning projects: the need for integrated, end-to-end workflows, and the need to make deploments of machine learning systems simple, manageable, and scalable. Kubeflow allows data scientists to build machine learning workflows on Kubernetes and to deploy, manage, and scale machine learning models
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Kubeflow is a foundation of tools designed for AI platforms on Kubernetes, enabling AI platform teams to build and deploy machine learning workflows efficiently. The platform is modular, portable, and scalable, supporting various stages of the AI lifecycle. Key components include Kubeflow Pipelines for workflow management, Kubeflow Notebooks for in... Read More
