Data Transfer Process

Diagram: Core Technical Components of the Jam Network

The Jam Network efficiently processes real-time data through compression, encryption, transport, and orchestration layers. Below is an outline of the end-to-end data flow:

1. Client Node (User Input)

   1. Captures raw data (audio, AI-generated content, etc.)

   2. Applies HyperVector Compression for data size reduction

   3. Encrypts using AES/ChaCha20 for security

2. Network Transport (P2P & Server)

   1. Routes packets using Custom UDP Protocol for ultra-low latency

   2. AI Data Orchestration Layer dynamically selects optimal routing

3. Jam Network Nodes (Processing & Synchronization)

   1. Decompresses and processes the data

   2. Applies Jitter Buffer for playback smoothness

   3. Merges multiple user streams into a single synchronized output

4. Client Node (User Output)

   1. Receives final processed data

   2. Decrypts and decompresses using AI-assisted audio restoration

   3. Outputs data to the application layer (music collaboration, AI processing, gaming, etc.)

This structured approach minimizes latency bottlenecks and maximizes efficiency across various real-time use cases.