copy Copy chevron-down
Technology Framework Node Architecture Zusama’s decentralized AI infrastructure is designed to redefine how social behavioral data is collected, processed, and utilized through an integrated network of intelligent nodes.
The Zusama Node Architecture is a multi-layer decentralized compute and interaction framework built under a DePIN model.
Beyond browser extensions and desktop applications, Zusama also expands into Telegram-based nodes , allowing users to participate in AI contribution and reward mechanisms directly inside Telegram.
This creates a hybrid infrastructure combining:
Telegram Interaction Nodes
Together, these layers form a unified decentralized intelligence network.
2. Node Classification
2.1 Light Node (Browser Extension Layer)
Deployment: Chrome / Edge
Functions:
Collect anonymized interaction signals
Perform lightweight AI inference
Participate in micro-training
Reward Model:
2.2 Standard Node (Desktop App)
Deployment: Windows / macOS
Functions:
Medium-level compute tasks
Encrypted model update submission
Includes:
Adjustable CPU/GPU limits
2.3 Advanced Node (VPS / Dedicated Infrastructure)
Deployment: VPS / Server
Functions:
High-frequency training cycles
Aggregation participation
Reputation-weighted scoring
These nodes provide backbone stability for the network.
2.4 Telegram Node (Social Interaction Layer)
Deployment: Telegram Bot & Mini App
The Telegram Node introduces a social-intelligence layer into the Zusama ecosystem.
Enable AI interaction inside Telegram
Collect behavioral engagement signals
Power AI conversation training
Distribute micro-rewards instantly
Functional Capabilities
💬 AI Interaction
Users can interact with Zus AI via Telegram bot for:
Community engagement tools
Social simulation features
📊 Engagement Signal Capture
The system collects:
Interaction depth scoring
🎮 Mini App Integration
Telegram Mini Apps allow:
Telegram Node Reward Model
Users earn rewards for:
AI interaction contribution
Telegram Nodes are considered Social Compute Nodes , where value comes from behavioral intelligence rather than raw CPU power.
2.5 Super Node (NFT-Based On-Chain Node)
Requirement:
Ownership of a Super Node NFT on Solana.
Enhanced Benefits:
Super Nodes apply across:
Browser
Desktop
VPS
Telegram
If a user operates multiple node types and holds multiple NFTs, bonus multipliers stack.
3. Unified Node Operational Flow
1️⃣ Task or Interaction Trigger
AI training task (Desktop/VPS)
Gameplay signal (Extension)
Social interaction (Telegram)
2️⃣ Local Processing
Behavioral feature extraction
3️⃣ Secure Transmission
Encrypted gradient updates
Engagement signal aggregation
4️⃣ Validation Layer
5️⃣ On-Chain Logging (Solana)
6️⃣ Reward Distribution
4. Hybrid Contribution Model
Zusama now recognizes three contribution types:
Compute Contribution
CPU/GPU processing power
Data Contribution
Behavioral & engagement signals
Social Intelligence Contribution
Telegram-based AI interaction feedback
Each type carries a weighted value in the Contribution Score formula.
5. Contribution Score (Updated)
CS = (Compute Weight + Data Weight + Social Weight)
× Uptime Reliability
× Validation Score
× NFT Multiplier
Telegram Nodes mainly impact the Social Weight component.
All node types synchronize through:
Cross-platform reward ledger
Shared Contribution Score
This allows a single user to:
Activate Browser Extension
And receive stacked ecosystem benefits.