What is Janction (JCT)?

Deep Dive

1. Purpose & Value Proposition

Janction tackles the high cost and centralization of AI computation by creating a decentralized marketplace where GPU owners can rent idle capacity to developers. This model reduces reliance on centralized cloud providers like AWS, lowering costs by up to 70% for AI training tasks (JANCTION Tokenomics). The platform targets SMEs and startups needing affordable, scalable AI resources.

2. Technology & Architecture

As a Layer-2 blockchain, Janction uses a Cluster GPU Pool for dynamic resource scheduling and integrates smart contracts to automate tasks like data preprocessing and model training. Its architecture emphasizes:
- Verifiable Computation: Proof-of-workload mechanisms validate GPU contributions.
- Microservice Containers: Simplify AI deployment with pre-optimized environments.
- Cross-Chain Compatibility: EVM support enables integration with Ethereum and BSC (Janction Docs).

3. Tokenomics & Governance

JCT’s 50 billion supply is allocated to stakeholders like GPU providers (34.29% ecosystem pool) and developers. Key utilities:
- Staking: Providers lock JCT to earn veJCT, granting bidding priority and governance rights.
- Payments: AI users pay in JCT or stablecoins, with fee discounts for token usage.
- Governance: veJCT holders vote on parameters like pricing models and grant allocations.

Conclusion

Janction positions itself as a decentralized backbone for AI development, leveraging blockchain to optimize GPU resource sharing. Its success hinges on balancing GPU supply-demand dynamics and scaling verification systems. Can decentralized coordination outpace centralized cloud providers in AI’s compute arms race?