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. |
| − | It help you to make ML training/serving easiler in Kubernetes. | ||
= Topics = | = Topics = | ||
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#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, [[Distributed_Tensorflow_in_Kubernetes|Distributed Tensorflow in Kubernetes]] | #To speed up your training with cluster, [[Distributed_Tensorflow_in_Kubernetes|Distributed Tensorflow in Kubernetes]] | ||
| + | #To export your training model for prediction or inference (TensorFlow-Serving), [[K8S TF Serving with yaml|K8S TF Serving with yaml]] | ||
| + | #To export your training model for prediction or inference (Ksonnet), [[K8S TF Serving with ksonnet|K8S TF Serving with ksonnet]] | ||
= Reference = | = Reference = | ||
Revision as of 05:50, 13 December 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
- To export your training model for prediction or inference (TensorFlow-Serving), K8S TF Serving with yaml
- To export your training model for prediction or inference (Ksonnet), K8S TF Serving with ksonnet