Cezen AI Suite — Installer

Quick Start

git clone <cgit-url>
cd cgit
sudo bash install.sh

Server reboots automatically after NVIDIA drivers install. Phase 2 runs on its own after reboot.

What Gets Installed (Entry Tier)

Service	Port	Notes
Ollama	11434	LLM inference, 2 models pre-loaded
Open WebUI	3001	Chat interface
vLLM	8000	OpenAI-compatible API (start manually)
JupyterLab	8888	Token: cezen2024
ChromaDB	8100	Vector DB for RAG
MLflow	5000	Experiment tracking
MinIO	9001	Object storage (user: cezenadmin / Cezen@2024!)
Grafana	3000	GPU + system monitoring (admin / cezen2024)

Testing Without a GPU (Multipass)

# On your MacBook:
multipass launch 22.04 --name cezen-test --cpus 4 --mem 8G --disk 40G
multipass shell cezen-test

# Inside the VM:
git clone <cgit-url>
sudo bash install.sh

NVIDIA driver install will succeed but nvidia-smi won't show GPUs — that's expected. All other services will run fine.

Pull More Models

bash models/pull-models.sh --tier=entry

File Structure

cgit/
├── install.sh                    ← Entry point
├── ansible/
│   ├── phase1_nvidia.yml         ← Phase 1: drivers (triggers reboot)
│   ├── entry.yml                 ← Phase 2: full stack
│   └── roles/
│       ├── base/                 ← OS, Python, Miniconda, LangChain
│       ├── nvidia/               ← Drivers, CUDA 12.4, cuDNN 9
│       ├── docker/               ← Docker CE + NVIDIA Container Toolkit
│       ├── k3s/                  ← Lightweight Kubernetes
│       ├── ollama/               ← Ollama + Open WebUI
│       ├── vllm/                 ← vLLM inference server
│       ├── jupyterlab/           ← JupyterLab notebooks
│       ├── chromadb/             ← Vector database
│       ├── mlflow/               ← Experiment tracking
│       ├── minio/                ← Object storage
│       └── monitoring/           ← Grafana + Prometheus + DCGM
└── models/
    └── pull-models.sh            ← Pull additional models

Change Default Passwords

Before shipping to a customer, update these:

• JupyterLab token: /opt/cezen/.jupyter/jupyter_lab_config.py
• MinIO: /etc/default/minio
• Grafana: environment vars in monitoring role, or via UI after first login
• MLflow: no auth by default (add reverse proxy if needed)