The AI Accelerator is a template project for setting up Red Hat OpenShift AI using GitOps

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

Non-destructive GPU based idle-culler for RHOAI/Kubeflow workloads

MLOps and compute acceleration with Openshift AI

Red Hat OpenShift AI Model Registry Deployment and Automated Model Ingestion

A Deployment agent for Model Serving runtimes Component in RHOAI

Simple AI Chat browser interface to test with LLM's. Streaming, markdown response format.

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.

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

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

Quick Instructions to add user for RHO-AI. If you need to access the "settings" sidebar.

Red Hat OpenShift AI integration with Nvidia NIM

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

Models-as-a-Service Openshift AI Workshop Module