# Customer Adoption and Innovation (CAI)

> The Customer Adoption & Innovation team of Red Hat's AI Business Unit — initiatives, demos, plugins, and how to engage.

We deploy, use, and battle-test Red Hat AI in production-like environments — then share what works with customers, partners, and colleagues, so they can unlock its full potential.

## Customer Adoption and Innovation 

[Meet the team](#team)

[See what we\'ve built](#cards)

- **178** Repositories in rh-aiservices-bu ([GitHub org](https://github.com/rh-aiservices-bu))

- **70+** Demos built by the team ([AI Quickstart](https://github.com/rh-ai-quickstart))

- **6** Dashboard plugins ([Community Plugins](https://github.com/rh-ai-community-plugins))

- **9** Team members ([Meet the team](#team))

## Initiatives

- [**Red Hat AI GitHub org**](https://github.com/rh-aiservices-bu) — For everyone — our main org with 178 repos covering AI projects, prototypes, and utilities.

- [**Red Hat AI Community Plugins**](https://github.com/rh-ai-community-plugins) — For RHAIE admins — community plugins extending Red Hat OpenShift AI.

- [**AI Quickstarts**](https://github.com/rh-ai-quickstart) — For developers — outcome-focused examples of how AI solves real business problems.

- [**AI on OpenShift**](https://ai-on-openshift.io/) — For anyone learning AI on OpenShift — patterns, demos, tools, and how-tos.

- [**AI500 MLOps Enablement**](https://github.com/rhoai-mlops) — For teams building MLOps skills — AI500 lab covering experimentation, automated model training, and delivery.

- [**AI501 GenAIOps Enablement**](https://github.com/rhoai-genaiops) — For teams running GenAI in production — AI501, a 5-day workshop with labs, slides, and deployment tooling.

- [**LiteMaaS**](https://github.com/rh-aiservices-bu/litemaas) — For platform teams — proof-of-concept for LLM subscriptions, API keys, and usage tracking, integrating with LiteLLM.

- [**Parasol workshop**](https://github.com/rh-aiservices-bu/parasol-demo-deployment) — For hands-on learners — deployment recipe for the Parasol Insurance demo on a RHOAI cluster.

## Tutorials

- [RHOAI MaaS guide](https://github.com/rh-aiservices-bu/rhoai-maas-guide) — use models as a service in Red Hat OpenShift AI
- [Disconnected RHOAI](https://github.com/rh-aiservices-bu/disconnected-rhoai) — run Red Hat OpenShift AI in disconnected (air-gapped) environments
- [GPU partitioning guide](https://github.com/rh-aiservices-bu/gpu-partitioning-guide) — partition GPUs for AI workloads on OpenShift
- [RHOAI 2.25 → 3.5 migration guide](https://github.com/rh-aiservices-bu/rhoai-2.25-3.5-migration-guide) — migrate Red Hat OpenShift AI from 2.25 to 3.5


## Mission

Through advice rooted in real-world experience, we empower customers,
partners and colleagues, to unlock the full potential of Red Hat AI.

- Leverage Red Hat AI products like our customers do
- Act as an internal "customer zero" at Red Hat — proving our products on ourselves before customers have to
- Help support customers on complex AI topics
- Share expertise based on first-hand experience
- Push the envelope on what is possible with Red Hat AI!


## Team

- **Erwan Granger** — [GitHub](https://github.com/erwangranger) · [LinkedIn](https://www.linkedin.com/in/erwangranger)

- **Guillaume Moutier** — [GitHub](https://github.com/guimou) · [LinkedIn](https://www.linkedin.com/in/guillaume-moutier-70aba762)

- **Robert Lundberg** — [GitHub](https://github.com/RHRolun) · [LinkedIn](https://www.linkedin.com/in/rolun)

- **Roberto Carratalá** — [GitHub](https://github.com/rcarrata) · [LinkedIn](https://www.linkedin.com/in/rcarrata)

- **Karl Eklund** — [GitHub](https://github.com/keklundrh) · [LinkedIn](https://www.linkedin.com/in/karl-eklund-a2180515)

- **Cansu Kavili Örnek** — [GitHub](https://github.com/ckavili) · [LinkedIn](https://www.linkedin.com/in/ckavili)

- **Philip Hayes** — [GitHub](https://github.com/deewhyweb) · [LinkedIn](https://www.linkedin.com/in/philip-hayes-0327532)

- **Sara Banderby** — [GitHub](https://github.com/sarabanderby) · [LinkedIn](https://www.linkedin.com/in/annelisarabanderby)

- **Will Parker** — [GitHub](https://github.com/willsparker) · [LinkedIn](https://www.linkedin.com/in/willsparker98)

## How to get started

Learn and get help at AI on OpenShift, try ready-to-deploy demos in AI Quickstart, propose plugin ideas in Community Plugins — or open an issue in this repository to work with the team directly.

[Learn at AI on OpenShift](https://ai-on-openshift.io/)

[Try AI Quickstart demos](https://github.com/rh-ai-quickstart)

[Propose a community plugin](https://github.com/rh-ai-community-plugins)