Kubeflow on Google Cloud

The Machine Learning Toolkit running on Google Kubernetes Engine (GKE)

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What is Kubeflow?

Kubeflow on Google Cloud is an open-source toolkit for building machine learning (ML) systems. Seamlessly integrated with GCP services Kubeflow allows you to build secure, scalable, and reliable ML workflows of any complexity, while reducing operational costs and development time.

Google Kubernetes Engine
Google Kubernetes Engine

Kubeflow on Google Cloud uses the most automated and scalable managed Kubernetes platform, Google Kubernetes Engine. By choosing Google Kubernetes Engine, one can benefit from advanced cluster managements features including automated node pool scaling, automatic software upgrades, node auto-repair, logging and monitoring of the cloud resources, and many more.

Kubeflow Pipelines
ML Pipelines

Kubeflow Pipelines is a comprehensive solution for deploying and managing end-to-end ML workflows. Use Kubeflow Pipelines for rapid and reliable experimentation. You can schedule and compare runs, and examine detailed reports on each run.

GCP's managed services
Managed services

Tightly integrated with managed services, Kubeflow on Google Cloud allows to work faster, build smarter, and grow with a peace of mind. Managed services include Cloud Storage, CloudSQL, Identity and Access Management, Identity-Aware Proxy, Anthos Service Mesh, and many others.

Source code

Kubeflow on Google Cloud is open-source. Explore and contribute!

Interested in getting more involved? Join Kubeflow Community!