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BK Jackson edited this page May 1, 2019 · 5 revisions

Google AI Hub

Introducing AI Hub and Kubeflow Pipelines: Making AI simpler, faster, and more useful for businesses

Kubeflow Pipelines

  • Package ML code just like building an app so that it's reusable to other users across and organization.
  • Provide a workbench to compose, deploy and manage reusable end-to-end machine learning workflows, making it a no lock-in hybrid solution from prototyping to production.
  • It also enables rapid and reliable experimentation, so users can try many ML techniques to identify what works best for their application.

Kubeflow Piplines Github

Containers

Continuous delivery with containers - Automatically build, test, and deploy containers to a Kubernetes cluster using Cloud Build, Spinnaker, and Google Kubernetes Engine.
Automatic serverless deployments - Use Cloud Build and Cloud Functions to automatically deploy apps to Google App Engine.

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