[Privasea] Node Executor

Overview

Operated and maintained Privasea AI Network nodes — a privacy-preserving AI infrastructure powered by Fully Homomorphic Encryption (FHE). Privasea enables machine learning computations on encrypted data, ensuring data privacy while delivering AI inference results on-chain.

Key Components

FHE Node Architecture

• Deployed Privasea Privanetix worker nodes for encrypted AI computation
• Configured FHE parameter tuning for optimal inference latency vs. security trade-offs
• Managed node identity registration and staking via Privasea’s smart contracts

Monitoring & Reliability

• Built Prometheus + Grafana dashboards tracking node health, task completion rates, and reward accrual
• Automated restart scripts with Docker health checks for 99.9% uptime
• Set up alerting for missed tasks and network disconnections

Network Participation

• Participated in Privasea testnet phases, contributing encrypted AI inference tasks
• Validated FHE proof submissions and earned testnet rewards
• Documented operational procedures for community node operators

Technologies

• FHE Libraries: TFHE-rs, Concrete
• Infrastructure: Docker, Docker Compose
• Monitoring: Prometheus, Grafana, custom Python scripts
• Chain Interaction: ethers.js for staking and registration

Results

Successfully operated Privasea nodes across multiple testnet phases with consistent uptime and task completion rate above 98%. Contributed to the network’s encrypted AI inference capacity.