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Using Openshift to train and serve AI/ML models

License: Apache License 2.0

Shell 12.69% Python 5.54% HTML 0.69% Jupyter Notebook 79.63% JavaScript 1.45%

ai-on-openshift's Introduction

Using Openshift to train and serve AI/ML models

Configuring Openshift to use GPUs

Building Jupyter notebooks capable of running AI/ML workloads using Tensorflow and GPUs

Dploying Jupyter Notebooks at scale

Developing AI/ML models with Openshift and Jupyter Notebooks

Deploying and using AI/ML models on OPenshift

Sources

https://github.com/kubeflow/kubeflow

https://www.lightbend.com/blog/how-to-deploy-kubeflow-on-lightbend-platform-openshift-introduction

https://github.com/rbo/RedHatHackathon-KubeFlow-Demo/blob/master/deployer/kubeflow-deploy.sh

GPU stuff

Install CUDA, this will also install an appropriate driver

https://blog.openshift.com/how-to-use-gpus-with-deviceplugin-in-openshift-3-10/

for OCP 3.11 start here :

http://docs.h2o.ai/driverless-ai/latest-stable/docs/userguide/install/rhel.html

https://nvidia.github.io/nvidia-docker/

ai-on-openshift's People

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