Difference between revisions of "Note Kubeflow"
From ESS-WIKI
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= Introduce = | = Introduce = | ||
| − | Kubeflow is a set of pods that deploy machine learning toolkit in Kubernetes | + | |
| + | Kubeflow is a set of pods that deploy machine learning toolkit in Kubernetes. | ||
| + | It help you to make ML training/serving easiler in Kubernetes. | ||
= Topics = | = Topics = | ||
| − | #[[Install_Kubeflow_with_KSonnet|Install kubeflow with ksonnet]] | + | # To enable Kubeflow, [[Install_Kubeflow_with_KSonnet|Install kubeflow with ksonnet]] |
| − | #[[K8S_Nvidia_Device_Plugin|Add Nvidia device plugin]] | + | # To make a training with web UI editor, [[Jupyter Editor in Kubernetes|Jupyter Editor in Kubernetes]] |
| + | # To speed up your training with GPU, [[K8S_Nvidia_Device_Plugin|Add Nvidia device plugin]] | ||
| + | # To speed up your training with cluster, [[Distribute Tensorflow in Kubernetes|Distribute Tensorflow in Kubernetes]] | ||
= Reference = | = Reference = | ||
Revision as of 08:40, 15 November 2018
Introduce
Kubeflow is a set of pods that deploy machine learning toolkit in Kubernetes. It help you to make ML training/serving easiler in Kubernetes.
Topics
- To enable Kubeflow, Install kubeflow with ksonnet
- To make a training with web UI editor, Jupyter Editor in Kubernetes
- To speed up your training with GPU, Add Nvidia device plugin
- To speed up your training with cluster, Distribute Tensorflow in Kubernetes