Installation Guide

On-Premise Deployment

Complete guide for deploying and configuring the AI Avatar Platform in your infrastructure

System Requirements

Hardware and software requirements for deploying the AI Avatar Platform on-premise.

Minimum Requirements

Processor
8-core CPU (x86-64 architecture)
Memory (RAM)
16 GB RAM
Storage
100 GB SSD (OS + Application)
500 GB HDD (Media storage)
GPU (Optional)
NVIDIA GPU with 6GB+ VRAM
For accelerated video generation

Recommended Requirements

Processor
16-core CPU or higher
Memory (RAM)
64 GB RAM or higher
Storage
250 GB NVMe SSD (OS + Application)
1 TB+ SSD/NAS (Media storage)
GPU (Recommended)
NVIDIA H100 or A100
80GB VRAM

Parallel Video Generation Calculator

Use the slider below to see how hardware requirements scale based on the number of simultaneous video generations your system needs to support.

1
1510
CPU Cores
8+
Base requirement
System RAM
16 GB
Minimum for single generation
GPU VRAM
24 GB
Single model instance
Storage (SSD)
100 GB
Base application storage
Recommended GPU for 1 Parallel Generation
NVIDIA H100 (80GB) - Optimal for up to 6 parallel generations

Software Requirements

Operating System
  • • Ubuntu 20.04 LTS or higher
  • • CentOS 8 or higher
  • • Red Hat Enterprise Linux 8+
Runtime Environment
  • • Docker 20.10 or higher
  • • Docker Compose 2.0 or higher
  • • NVIDIA Container Toolkit (if using GPU)

Network Requirements

Port Requirements
Web Interface (HTTP/HTTPS)80/443
API Service3000
Database Server5432
Vector Database8000
Internet Connectivity
  • • Required for initial software downloads and updates
  • • Required for external API services (Text-to-Speech, LLM inference)
  • • Bandwidth: Minimum 100 Mbps recommended for optimal performance