Intel® AI for Enterprise Solutions Documentation
The technical documentation for deploying and operating the platform. Start with Meet for the what and why, Get started to stand it up, use the Deploy guides to take it further, then configure and look things up as needed.
Looking for the three-step quick start? It's in the project README.
Meet
| Guide | What it covers |
|---|---|
| Meet Intel® AI for Enterprise Solutions | What the platform is, the problem it solves, and the layers it deploys |
| FAQ | Short answers to the questions that come up most |
| Glossary | Every term used in these guides, defined once |
Get started
Check your machine meets the bar, then deploy it.
| Guide | What it covers |
|---|---|
| Prerequisites | Everything needed before running the installer |
| Getting Started | Three deployment paths — pick one and follow it end to end |
| Getting Started with RAG | Deploy Intel® AI for Enterprise RAG (vector DB, document ingestion, chat UI) on top of inference |
Deploy
Install the platform, serve a model, deploy RAG, and go beyond a single node.
| Guide | What it covers |
|---|---|
| Deployment Guide | Step-by-step platform install — no Kubernetes experience needed |
| Deploy a Model | Deploying, accessing, and managing LLM inference with model-manager |
| Multi-Node & BYO Cluster | Deploying across several machines, or onto an existing cluster |
| NetApp ONTAP and Trident | Deploying with Trident + ONTAP as the storage backend |
| Network Architecture | Network topology, IP allocation, and how a request reaches a model |
Configure & customize
Tune the deployment: change any setting, place workloads across nodes, and connect your own applications.
| Guide | What it covers |
|---|---|
| Configuration Reference | Every option in global_config.yaml, and how to override them |
| Integration Guide | Connecting your tool or framework without modifying the stack |
| Node Topology & Workload Placement | Separating platform and inference workloads on multi-node clusters |
| NRI CPU Balloons | NUMA-aware CPU pinning for inference pods |
Reference
Look up exact commands, architecture decisions, and cluster-level details.
| Guide | What it covers |
|---|---|
| CLI Reference | es_auto_installer.sh and model-manager commands and flags |
| Architecture & Design | How the modular deployment framework is structured |
| Namespace Security Labels | Pod Security Admission and Istio labels applied per namespace |
| Adding Solution Layers | How to create and plug in your own solution layer |