Enterprise Setup Guide

Configure and launch Elenoon AI services in your organization with secure, scalable infrastructure.

Prerequisites

1

Enterprise License

Purchase or request a trial license from our enterprise dashboard to get access to the deployment package.

Contact Sales
2

Environment Setup

Ensure your systems meet our requirements: Minimum 4-core CPU, 16GB RAM, and compatible Linux/Unix environment.

View System Requirements

Installation Guide

Step 1: Install Enterprise Package

Use our package manager to install the Elenoon Enterprise distribution for your operating system.

sudo curl -sSL https://install.elenoon.ai/enterprise.sh | sudo bash

This command will:

  • • Download and install the latest release
  • • Set up necessary system dependencies
  • • Create the elenoon user and groups
  • • Configure basic security policies
Installation architecture

Step 2: Configure System

Edit the configuration file to customize deployment options for your infrastructure.

sudo nano /etc/elenoon/enterprise/config.yml

Key configuration options:

  • • cluster_mode: Set to cluster or single-node
  • • license_key: Your enterprise license key
  • • data_dir: Path for AI model storage
  • • api_url: Custom endpoint URL

Changes require the service to be restarted with sudo systemctl restart elenoon-enterprise

Configuration options

Step 3: Security Configuration

Set up authentication, network security, and compliance controls.

Enable multi-factor authentication and configure firewalls:

sudo elenoon-configure-security \
  --enable-mfa \
  --firewall-rules 0.0.0.0/32 \
  --ssl-certificate /etc/ssl/certs/your-cert.pem
  • ✅ Automatic TLS encryption
  • ✅ Role-based access control
  • ✅ Audit log recording
Security controls

Best Practices

Use Containerization

Docker and Kubernetes integration is recommended for scalable deployments with seamless version updates.

elenoon-enterprise --run-as-container

Monitor Performance

Use our built-in metrics dashboard to track system health, model usage, and potential bottlenecks.

http://localhost:8999/metrics