NEAR Integration with Nillion: A Perfect Combination of Privacy and Performance

Recently, the NEAR public chain introduced the blind computation and blind storage technology of the privacy protocol Nillion. This integration combines NEAR's high performance with Nillion's advanced privacy tools, providing strong privacy protection capabilities for over 750 projects within the NEAR ecosystem.

NEAR, as a mature L1 blockchain network, is known for its outstanding performance. Its main features include Nightshade sharding technology, WebAssembly-based smart contract runtime, and a user-friendly readable account system. These features have attracted numerous developers and innovators, who together have built a thriving ecosystem.

By combining Nillion's blind computing capabilities with NEAR's efficient transaction processing, the following advantages have been achieved:

1. Modular Data Privacy: Nillion's privacy features integrate seamlessly with NEAR, allowing for modular data storage and computational operations within the Nillion network while enabling transparent settlements on the NEAR blockchain.

2. Private Data Management: Nillion provides private storage and computing services for various types of data, greatly expanding the design space for privacy-preserving applications in the NEAR ecosystem.

3. Private AI: NEAR's focus on autonomous, user-owned AI complements Nillion's private storage and computing capabilities, opening up vast new horizons for decentralized AI.

This integration opens up new avenues for privacy protection applications within the NEAR ecosystem, especially in terms of AI solutions:

• Private Inference: Achieve secure inference on AI models to protect proprietary machine learning models and sensitive user inputs.
• Private Proxy: Provides privacy solutions for AI agents, ensuring that users do not leak sensitive information while using the proxy.
• Federated Learning: Enhancing the privacy of model training on decentralized datasets by protecting the aggregation process.
• Private synthetic data: Protect the privacy of the underlying data during GAN training.
• Private Retrieval-Augmented Generation (RAG): An innovative privacy-preserving method for information retrieval.

In addition to the AI field, this integration has also brought new possibilities to other areas:

• Cross-chain privacy solutions: Paving the way for privacy-preserving cross-chain applications and asset transfers.
• Privacy-first community platform: Combining the advantages of decentralization and privacy protection, it achieves private content storage and personalized recommendations.
• Secure DeFi: Implement private order books, confidential loan assessments, and hidden liquidity pools to enhance the security and privacy of the NEAR DeFi ecosystem.
• Developer tools for privacy protection: provides privacy-focused tools and APIs that allow developers to easily integrate advanced privacy features into applications.

By combining NEAR's high-performance infrastructure with Nillion's advanced privacy features, an environment is being created that enables developers to build powerful, privacy-protecting applications to meet real-world needs. This will help to create a new open digital economy where users truly control their assets and data.