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I am at KubeCon 2017 in Austin, TX and, yeah, based on the presentation, it looks like an internal tool they just opened to the public with some bold goals.


Hi! It was actually designed from the start to be an extension of GitHub.com/tensor flow/k8s and then it took on larger goals = Making an entire ML stack (of any ML framework) easy to use, portable and composable on k8s.

Disclosure: I work at Google on Kubeflow




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