Difference between revisions of "Note Kubeflow"
From ESS-WIKI
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#To make a training with web UI editor, [[Jupyter_Notebooks_in_Kubernetes|Jupyter Notebooks in Kubernetes]] | #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, [[Distributed_Tensorflow_in_Kubernetes|Distributed Tensorflow in Kubernetes]] |
= Reference = | = Reference = | ||
Revision as of 09:40, 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 Notebooks in Kubernetes
- To speed up your training with GPU, Add Nvidia device plugin
- To speed up your training with cluster, Distributed Tensorflow in Kubernetes