Difference between revisions of "Note Kubeflow"
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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 = | ||
| − | # [[ | + | |
| − | # [[K8S_Nvidia_Device_Plugin|Add Nvidia device plugin]] | + | #To enable Kubeflow, [[Install_Kubeflow_with_KSonnet|Install kubeflow with ksonnet]] |
| + | #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 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 (Kubeflow/Ksonnet), [[K8S_TF_Serving_with_ksonnet|K8S TF Serving with ksonnet]] | ||
= Reference = | = Reference = | ||
Latest revision as of 08:36, 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 (Kubeflow/Ksonnet), K8S TF Serving with ksonnet