What is DeepNode (DN)?

Deep Dive

1. Purpose & Value Proposition

DeepNode tackles AI centralization by creating a peer-to-peer network where developers, validators, and compute providers collaborate. Instead of closed corporate systems, it offers an open marketplace: model creators earn $DN when users run their AI tools, while validators and node operators get paid for verifying outputs and providing resources. This shifts value from extractive intermediaries to contributors, democratizing AI development across fields like healthcare, finance, and research.

2. Technology & Architecture

Built on Ethereum Layer-2 Base for scalability, DeepNode uses Proof-of-Work-Relevance (PoWR) – a consensus mechanism that measures a model’s real-world utility through peer validation. Key components:
- Domains: Specialized subnets (e.g., medical diagnostics) with custom governance.
- Decentralized Marketplace: Hosts models; users pay $DN to access them.
- Validation Layer: Independent validators test model outputs for accuracy, preventing manipulation.
Tasks use "one model, two nodes" redundancy to ensure reliability.

3. Tokenomics & Governance

$DN powers all network activity:
- Utility: Pays for model usage, stakes for rewards (stDN), funds model development.
- Supply Allocation: 50% community, 15% team/advisors, 10% liquidity, 13% investors, 2% airdrop.
- Deflationary Mechanics: 1% of platform fees buy back and burn $DN.
Governance involves token holders voting on protocol upgrades via the DeepNode Foundation.

Conclusion

DeepNode reimagines AI as a community-owned utility, where value flows to those creating useful models or infrastructure. How will its domain-specific subnets evolve to handle industry-specific AI demands?