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)
80/443API Service
3000Database Server
5432Vector Database
8000Internet 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