# Requirements

## System Requirements

### Overview

EPIZO is designed to operate across a wide range of hardware, from low-power devices to high-performance servers.

System requirements vary depending on:

* Number of users
* AI model size
* Amount of stored data

***

### Minimum Requirements

| Component | Requirement             |
| --------- | ----------------------- |
| CPU       | Dual-core 2 GHz         |
| RAM       | 4 GB                    |
| Storage   | 5 GB free               |
| OS        | Debian-based            |
| Network   | Internet (install only) |

***

### Recommended Requirements

| Component | Requirement                  |
| --------- | ---------------------------- |
| CPU       | Ryzen 5 / Intel i5 or higher |
| RAM       | 16 GB                        |
| Storage   | 100 GB SSD                   |
| GPU       | Optional                     |

***

### Optimal (AI-Heavy Workloads)

| Component | Requirement        |
| --------- | ------------------ |
| CPU       | Ryzen 7 / Intel i7 |
| RAM       | 32 GB              |
| GPU       | NVIDIA RTX 3060+   |
| Storage   | 1 TB SSD           |

***

### Deployment Tiers

#### Minimum Node

* Raspberry Pi 4 (8GB)
* Basic AI + knowledge access
* Single-user or small usage

***

#### Community Node

* Laptop / small server
* 10–50 users
* Moderate AI workloads

***

#### Full Capability Node

* High-end desktop
* Large models
* 100+ users

***

#### Institutional Node

* Server-grade hardware
* Multi-GPU
* Large-scale deployments

***

### Storage Considerations

Content size varies:

| Content Type    | Approx Size |
| --------------- | ----------- |
| Wikipedia (ZIM) | 10–100 GB   |
| Maps            | 5–50 GB     |
| AI Models       | 4–30 GB     |

***

### Network Requirements

| Phase   | Internet Required |
| ------- | ----------------- |
| Install | Yes               |
| Runtime | No                |
| Updates | Optional          |

***

### Performance Factors

System performance depends on:

* CPU (AI inference)
* RAM (model loading)
* Disk speed (data access)

***

### Constraints

* Low RAM limits AI capability
* Limited storage reduces content capacity
* No GPU reduces inference speed

***

### Summary

EPIZO scales from:

* personal device → global infrastructure node

Hardware defines capability, not functionality.


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