The document presents the Open Data Hub, a platform designed for data scientists to facilitate a self-service experience in machine learning projects. It highlights key features, such as model training with frameworks like TensorFlow and PyTorch, and the integration of Kubeflow for streamlined deployments on Kubernetes. Additionally, it provides resources for community engagement and collaboration within the open-source ecosystem.

1. Juana Nakfour
CTO AI Center of Excellence
Open Data Hub

2. 2
AGENDA
What is Open Data Hub
Kubeflow Introduction
Demo

3. What is Open Data Hub

4. BUILDING A PLATFORM FOR DATA SCIENCE
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As a Data Scientist, I want a
“self-service cloud like” experience
for my Machine Learning projects,
where I can access a rich set of
modelling frameworks, data, and
computational resources, share and
collaborate with colleagues, and
deliver my work into production with
speed, agility and repeatability to
drive business value!
Self Service Portal to Select ML
Frameworks, and Data Sources
Perform ML Modelling
Inferencing w/ Hardware Acceleration
Model Deployment in
App Dev

5. The Open Data Hub Community Project
● Collaborate on a Data & AI platform for the Hybrid Cloud - opendatahub.io/
● Open Source community Meta-Project to integrate open source projects into an
end-to-end AI/ML platform on OpenShift
● Install today from the Openshift OperatorHub Community Operators

6. OPEN DATA HUB - Open Source Downstream/Upstream
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7. OPEN DATA HUB - Current Releases
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8. OPEN DATA HUB - Operator
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9. OPEN DATA HUB - Kubeflow
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● Kubeflow - A new open source project dedicated to making deployments of
machine learning (ML) workflows on Kubernetes simple, portable and
scalable - kubeflow.org
● It is now integrated into Open Data Hub and runs on OpenShift
● Kubeflow brings multiple new AI/ML capabilities and features
○ For model training Tensorflow and Pytorch
○ For model serving Seldon and KFServing
○ For pipelines Kubeflow Pipelines based on Argo

10. OPEN DATA HUB - 0.6.x
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11. OPEN DATA HUB - Contact and Engagement
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ODH site: opendatahub.io
ODH-Kubeflow Github: https://github.com/opendatahub-io
ODH Community Mailing lists: announcements@lists.opendatahub.io,
contributors@lists.opendatahub.io
ODH Community Meetings:
https://gitlab.com/opendatahub/opendatahub-community

12. Demo