Data science pipelines and model serving using Red Hat OpenShift Data Science

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.

Deploy Cisco AI Pods with Ansible and Python

Sanitized reference architecture for building a private family-focused AI platform on Red Hat OpenShift, OpenShift AI, OpenShift Virtualization, AAP, Strix Halo, and Apple Silicon.

MLOps and compute acceleration with Openshift AI

Validated Pattern that deploys OpenShift AI and OpenShift Pipelines.

This repository contains the code for a workshop on how to use different tools to monitor and manage an edge-anomaly-detection application.

Red Hat OpenShift AI Model Registry Deployment and Automated Model Ingestion

Benchmark study: NVIDIA L4 + Llama 3.1 8B FP8 on Red Hat OpenShift AI. Concurrent load benchmarks, quality evaluation, and deployment advisor grounded in real measured data.

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.

OpenShift Validated Reference Design for Enterprise AI

Production-pattern Red Hat OpenShift AI 3.4.0 platform with bare-metal ESXi, GPU passthrough, KServe RawDeployment, DeepSeek R1 inference at 12–17 tok/s

Making Inference work for you with vLLM and RHOAI Enterprise Model Serving

This project focuses on developing a cutting-edge computer vision program to identify defects on nuts, specifically black marks representing impurities.

Charter, guidelines, and plugin catalog for the Red Hat AI Community Plugins initiative

Discovery workshop for Red Hat OpenShift AI (RHOAI).

End-to-end Bielik model implementation on RHOAI with llm-d

A monorepo for running hands on hackathons.

Hack Midwest 2024 Project PixelForge

My Personal Blog, learn, share and discover new things