Data science pipelines and model serving using Red Hat OpenShift Data Science
-
Updated
Mar 27, 2025 - Python
#
openshift-ai
Here are 14 public repositories matching this topic...
This guide is designed to help you deploy OpenShift on bare metal for a variety of workloads, providing flexibility, scalability, and advanced configurations tailored to diverse use cases.
-
Updated
Jan 22, 2026 - Python
This repository contains the code for a workshop on how to use different tools to monitor and manage an edge-anomaly-detection application.
-
Updated
Mar 18, 2024 - Python
Validated Pattern that deploys OpenShift AI and OpenShift Pipelines.
-
Updated
Nov 24, 2025 - Python
My Personal Blog, learn, share and discover new things
-
Updated
May 12, 2024 - HTML
This project focuses on developing a cutting-edge computer vision program to identify defects on nuts, specifically black marks representing impurities.
-
Updated
Feb 22, 2024 - Ruby
Discovery workshop for Red Hat OpenShift AI (RHOAI).
-
Updated
Jun 8, 2025 - Jupyter Notebook
Personal blog exploring AI infrastructure, platform engineering, and cloud architecture. Topics include NVIDIA AI Infrastructure & Operations, InfiniBand networking, Kubernetes/OpenShift, agentic AI with LangGraph, and enterprise MLOps.
ai hpc inference nvidia infiniband ai-agents nvidia-gpu vllm llm-inference openshift-ai agentic-ai spectrum-x
-
Updated
Jan 12, 2026 - HTML
OpenShift Validated Reference Design for Enterprise AI
-
Updated
Feb 16, 2026 - Makefile
Making Inference work for you with vLLM and RHOAI Enterprise Model Serving
-
Updated
Feb 12, 2026 - CSS
Red Hat OpenShift AI Model Registry Deployment and Automated Model Ingestion
-
Updated
Feb 8, 2026 - CSS
Improve this page
Add a description, image, and links to the openshift-ai topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the openshift-ai topic, visit your repo's landing page and select "manage topics."