On July 25th, The Cloud Native Computing Foundation (CNCF) accepted Kubeflow as an incubation project. This move signals an important stride for the open source Kubernetes machine learning platform.

In the last couple of years, we have heard a lot about machine learning and the plethora of tools and frameworks available to support these efforts. People have begun to understand that without data ...

Developing applications for the cloud increasingly requires building and deploying containerized microservices, or application modules that can be deployed to multiple computing environments.

Canonical Ltd. on Tuesday released Charmed Kubeflow 1.4, the newest version of its platform for simplifying enterprise artificial intelligence projects. U.K.-based Canonical is the maker of Ubuntu, ...

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The Kubeflow community this week announced the first major release of its open-source machine learning (ML) toolkit for Kubernetes. With Kubeflow 1.0, the maintainers of the project are "graduating" a ...

Kubeflow is designed to manage every phase of a machine learning project: writing the code, building the containers, allocating the Kubernetes resources to run them, training the models, and serving ...

Ever since Google created Kubernetes as an open source container orchestration tool, it has seen it blossom in ways it might never have imagined. As the project gains in popularity, we are seeing many ...

Now in beta, the open source Kubeflow project aims to help deploy a machine learning stack on the Kubernetes container orchestration system. The Kubeflow machine learning toolkit project is intended ...