What is CESS Network (CESS)?

What is CESS Network?

(Source: CESS_Storage)

CESS Network is a decentralized cloud storage network based on the public chain, aimed at creating an efficient, secure, transparent, and tokenized data processing capability decentralized data value infrastructure in the Web3 era. CESS is the first Layer 1 decentralized storage public chain equipped with CD2N (embedded content-distributed geometric network), full fault-tolerance processing, and optimization functions.

With the development of modern AI, a large amount of data is being centralized and stored in the cloud, leading to issues such as data breaches, privacy leaks, and unclear utilization. CESS analyzes the gaps in existing storage and computation mechanisms, utilizing custom proof mechanisms such as PoIS and PoDR2 to provide reliable, efficient, and cross-reality on-chain data processing capabilities.

Features of CESS Network

1. Layered System Architecture and Efficient On-Chain Processing

CESS is composed of three core layers:

• Layer 1: Provides fundamental blockchain services.
• Distributed Storage Resource Layer: Utilizing virtualization technology to aggregate storage resources.
• CD2N Distributed Delivery Layer: Provides accelerated delivery technology for on-chain content.

2. Optimize data content processing

CESS has its own developed DeOSS decentralized object storage service, supporting large-scale dynamic data acceleration, allowing frequent access and privacy protection.

3. Regional Inventory Summary and Content Retrieval

Improve the regional configuration and caching efficiency of cloud storage, allowing users to choose the optimal storage space based on data rights, latency, and cost calculation methods.

4. AI-LINK and Distributed Federated Learning

CESS AI Agent Hub aggregates various pre-isolated distributed AI agents, providing high security, continuity, and achieving joint training on data privacy.

The tokenomics of CESS Network

The CESS Network designed $CESS as the core of network operations, payments, legitimacy, and economic mechanisms. It is a multi-functional native asset, with a total token supply of 10 billion. The following is the token distribution content:

1. Mining – 45% in total, halved every 4 years

• Storage Nodes: 30% (3 billion)
• Consensus Nodes: 15% (1.5 billion)

2. KOL/Influencer – 5% (500 million)

Unlocking method: 60% is released at TGE (Token Generation Event), and the remaining 40% will be unlocked after 6 months.

3. Team & Advisers – 12.5% (1.25 billion)

Unlock method: 16% unlocked at TGE, the remaining 72 months linear release.

4. Ecosystem & Community Growth – 12% (1.2 billion tokens)

Unlock method: 100% released at TGE

5. Early Backer – 10% (1 billion)

Unlocking method: 20% released at TGE, the remaining released linearly over 48 months.

6. Foundation – 10% (1 billion)

Unlock method: 20% released at TGE, the remaining is released linearly over 48 months.

7. Market Development & Liquidity – 5.5% (550 million tokens)

Unlock method: 100% released at TGE

(Source: doc.cess.network)

This token model design emphasizes long-term network stability and fair distribution, especially by setting a longer unlocking period for the team and early investors to reduce short-term selling pressure; at the same time, it provides significant rewards for storage and consensus nodes to promote infrastructure construction and operation.

$CESS Main Functions:

• Network operation mechanism: Used for storing fee payments, file requests, data preservation proofs, and other operations.
• Rewards and Execution: Provide execution rewards for participants in the distributed network for storage, transmission, verification, and other activities.
• Cost control and DAO decision-making power: Used to participate in community decision-making, update systems, and combine balancing mechanisms.

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Summary

CESS Network is not just a simple storage platform, but a new Web3 infrastructure that redefines data usage rights, value circulation, and privacy security. It supports high-frequency dynamic data operations, secure transformations, and distributed user assurance mechanisms, making it the core foundation for future AI x Web3 applications.