Companies that use Kubeflow
The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.
10,499
companies
List of companies using Kubeflow
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"kubeflow\"
]
}"Technology
is any of
Kubeflow
Employees2.1kRevenue$126MSoftware DevelopmentKubeflowHigh confidence
Employees61kFinancial ServicesKubeflowHigh confidence
Employees3.2kRevenue$1.2BFinancial ServicesKubeflowHigh confidence
Employees9kRevenue$1.2BIT Services and IT ConsultingKubeflowHigh confidence
Employees868Software DevelopmentKubeflowHigh confidence
Employees25kRevenue$6BBusiness Consulting and ServicesKubeflowHigh confidence
Employees3kSoftware DevelopmentKubeflowHigh confidence
Employees680Revenue$120MSoftware DevelopmentKubeflowHigh confidence
Employees535Software DevelopmentKubeflowHigh confidence
Employees9.7kRevenue$1.1BComputer and Network SecurityKubeflowHigh confidence
We have data on 10,499 companies and users that use Kubeflow. Our Kubeflow users and customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Technology Usage Statistics and Market Share
How to target Kubeflow users
- How to customize this list?
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
- How to be alerted when companies adopt this technology?
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
- How to import this data to my CRM?
You can export this data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
Kubeflow is an open-source platform designed to make deploying, training, and managing machine learning models on Kubernetes easier. It aims to streamline the machine learning workflow by providing a unified toolset that integrates well with the Kubernetes ecosystem. With Kubeflow, data scientists and machine learning engineers can experiment, build, and deploy machine learning models more efficiently.
Kubeflow falls under the category of Machine Learning Tools, specifically focusing on infrastructure and operations for machine learning projects. It offers a set of components that work together to provide a seamless experience for running machine learning workflows on Kubernetes clusters. By leveraging the power of Kubernetes, Kubeflow enables scalable and reliable deployment of machine learning models in production environments.
Kubeflow was founded by Google in December 2017 with the motivation to simplify the implementation of machine learning workflows on Kubernetes. Google recognized the need for a more streamlined approach to handling machine learning pipelines and decided to create an open-source project that leverages the capabilities of Kubernetes for this purpose. Since its inception, Kubeflow has gained popularity in the machine learning community and has seen significant adoption by organizations looking to scale their machine learning operations.
Currently, Kubeflow holds a notable market share within the Machine Learning Tools category, with a growing user base. As the adoption of machine learning technologies continues to rise across industries, the demand for efficient machine learning infrastructure solutions like Kubeflow is expected to increase. With its ongoing development and community support, Kubeflow is forecasted to experience further growth in the market as more organizations embrace Kubernetes-based machine learning workflows.