AI computational infrastructure
aZen Protocol provides a modular, scalable, and autonomous computing environment by integrating dfNFTs, AI agents, and smart contract-driven orchestration.
🔹dfNFT-Based Computation & AI Resource Market
Users can tokenize, trade, and deploy AI models, applications, and computational power.
Smart contract automation ensures optimal pricing and transparent execution.
🔹AI Agent-Driven Computation Layer
AI Agents predict workload requirements and allocate compute resources dynamically.
Smart contract-based automation reduces inefficiencies and ensures optimal utilization.
🔹Privacy-Preserving AI Computation
Zero-knowledge proofs (ZKP) and homomorphic encryption ensure AI computations remain secure and verifiable.
Privacy-preserving ML (PPML) enables decentralized AI model training while maintaining data privacy.
🔹AI-Optimized Tokenomics & Incentive Models
AI-driven models dynamically adjust staking, token pricing, and compute resource allocation.
Users contributing computational power, AI services, or dApps are rewarded via tokenized incentives.
Last updated