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Pretty interesting. I'm guessing this is something that Google uses internally for their Kubernetes workflows.
by mountainerd 9y ago
Pretty interesting. I'm guessing this is something that Google uses internally for their Kubernetes workflows.
- nikolay 9y agoI 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.
- TheIronYuppie 9y agoHi! 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
- TheIronYuppie 9y agoIts very close to how we think about ML internally, but not what we use. Your best bet to read that is look at the TFX paper[1] which describes our internal thoughts in great detail. (Though Kubeflow is not designed to be an externalization of TFX, we're very much working in collaboration with that team) [1] http://www.kdd.org/kdd2017/papers/view/tfx-a-tensorflow-based-production-scale-machine-learning-platform http://www.kdd.org/kdd2017/papers/view/tfx-a-tensorflow-base... Disclosure: I work at Google on Kubeflow
- quadrature 9y agoDoes google intend on open sourcing TFX ?. I only ask because we're building a lot of the same infrastructure.
- TheIronYuppie 9y agoWe're absolutely looking at it! Please join our discussion, we'd love to talk about what you're building and if we can help and/or what you'd like us to OSS. Disclosure: I work at Google on Kubeflow
- quadrature 9y agoSure, is there an issue/doc/pr to comment on ?.
- TheIronYuppie 9y agoNo, would you mind adding one?