Difference between revisions of "Note Kubeflow"
From ESS-WIKI
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= Topics = | = Topics = | ||
| − | # To enable Kubeflow, [[Install_Kubeflow_with_KSonnet|Install kubeflow with ksonnet]] | + | #To enable Kubeflow, [[Install_Kubeflow_with_KSonnet|Install kubeflow with ksonnet]] |
| − | # To make a training with web UI editor, [[ | + | #To make a training with web UI editor, [[Jupyter_Notebooks_in_Kubernetes|Jupyter Notebooks in Kubernetes]] |
| − | # To speed up your training with GPU, [[K8S_Nvidia_Device_Plugin|Add Nvidia device plugin]] | + | #To speed up your training with GPU, [[K8S_Nvidia_Device_Plugin|Add Nvidia device plugin]] |
| − | # To speed up your training with cluster, [[ | + | #To speed up your training with cluster, [[Distribute_Tensorflow_in_Kubernetes|Distribute Tensorflow in Kubernetes]] |
= Reference = | = Reference = | ||
Revision as of 08:14, 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 Notebooks in Kubernetes
- To speed up your training with GPU, Add Nvidia device plugin
- To speed up your training with cluster, Distribute Tensorflow in Kubernetes