You are viewing documentation for Kubeflow 1.2

This is a static snapshot from the time of the Kubeflow 1.2 release.
For up-to-date information, see the latest version.

Reference Overview

Reference documentation for Kubeflow APIs and services.

TFJob

TFJob is a Kubernetes custom resource that you can use to run TensorFlow training jobs on Kubernetes. For help with using TFJob with Kubeflow, see the user guide.

API references:

PyTorchJob

PyTorchJob is a Kubernetes custom resource that you can use to run PyTorch training jobs on Kubernetes. For help with using PyTorch with Kubeflow, see the user guide.

API references:

MPIJob

MPIJob is a Kubernetes custom resource that you can use to run allreduce-style distributed training jobs on Kubernetes. For help with using MPIJob with Kubeflow, see the user guide.

API references:

Notebook

Notebook CRD is a Kubernetes custom resource that you can use to manage Jupyter Notebook servers on Kubernetes. For help with using notebooks with Kubeflow, see the user guide.

API references:

Katib

Katib is an AutoML system that you can use to run hyperparameter tuning and neural architecture search experiments on Kubernetes. For help with using Katib with Kubeflow, see the user guide.

gRPC API references: