Skip to content

Local Kubeflow/KFP deployments and examples pipelines

Notifications You must be signed in to change notification settings

lajd/local_kubeflow

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Installing full Kubeflow (or Kubeflow pipelines)

See the installations/ directory for instructions to install either Kubeflow (using microk8s) or a simplified installation of Kubeflow pipelines (using k3s) that supports GPUs.

Installation options

K3s Kubeflow Pipelines installation with GPU support

Micro k8s full Kubeflow installation (No GPU support)

Setting up examples

Note: The below assumes Conda (e.g. Anaconda or MiniConda) is installed. See https://docs.conda.io/en/latest/miniconda.html for details.

conda create -n local_kubeflow python=3.9
conda activate local_kubeflow

Install package and PyPi dependencies:

pip install -e .

Simple pipeline

Try an example pipeline in examples/simple_pipeline/README.md

Pytorch Lightning pipeline

Try an example pipeline in examples/pytorch_lightning_cifar10/README.md

Spark submit example pipeline

Try an example pipeline in examples/spark/README.md

About

Local Kubeflow/KFP deployments and examples pipelines

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published