NEAR and Nillion Join Forces: A Perfect Fusion of Privacy Computing and Performance

Recently, the privacy protocol Nillion announced the introduction of its blind computation and blind storage technology to the L1 public chain NEAR, known for its speed and scalability. This important integration combines NEAR's high performance with Nillion's cutting-edge privacy tools, opening up the possibility of blind computation for over 750 projects in the NEAR ecosystem.

NEAR, as a mature L1 blockchain network, has been known for its outstanding performance. Its three core features include:

1. Nightshade Sharding Technology: NEAR's unique sharding solution significantly improves transaction throughput while reducing latency, making it particularly suitable for high-performance application scenarios.

2. WebAssembly Runtime Environment: NEAR's Wasm-based virtual machine supports smart contracts written in Rust and AssemblyScript, which attracts developers from various technical backgrounds to join.

3. User-friendly Account System: NEAR adopts an intuitive account naming method, significantly improving user experience and accessibility.

These advantages have attracted a large number of developers, entrepreneurs, and innovators, together building a thriving ecosystem with over 750 applications.

The blind computing capabilities of Nillion combined with the efficient transaction processing of NEAR have brought about the following breakthroughs:

• Modular Data Privacy: Nillion's privacy features seamlessly integrate with NEAR, allowing for modular execution of data storage and computation operations within the Nillion network while enabling transparent settlement on the NEAR blockchain. This modularity provides developers with a flexible application architecture design space.

• Private Data Management: Nillion provides private storage and computation for various types of data, greatly expanding the functional boundaries of NEAR. This significantly broadens the design space for privacy-preserving applications within the NEAR ecosystem, enabling developers to create solutions that were previously unattainable due to privacy constraints, while attracting more privacy-focused users.

• Privacy AI: NEAR's focus on autonomous, user-owned AI complements Nillion's private storage and computing capabilities, opening up vast new design spaces for decentralized AI.

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

1. Private AI:

   • Private Inference: Implement secure inference for AI models, protecting proprietary machine learning models and user sensitive inputs.
   • Private Proxy: Allows users to use AI proxies without disclosing the original queries or actions of the proxy.
   • Federated Learning: Enhances privacy by protecting the aggregation process, ensuring that sensitive information derived during training remains confidential.
   • Private synthetic data: Protect the privacy of the foundational data during the GAN training process.
   • Private Retrieval Augmented Generation (RAG): Achieving privacy protection for information retrieval, promoting quantum-safe storage of vectors and semantic search.

2. Cross-chain privacy solution: Paving the way for privacy-protecting cross-chain applications and asset transfers.

3. Privacy-first community platform: Support for private content storage and social graph processing, enabling personalized recommendations while protecting user privacy.

4. Secure DeFi: Implement private order books, confidential loan assessments, and hidden liquidity pools to enhance the security and privacy of the NEAR DeFi ecosystem.

5. Developer Tools for Privacy Protection: Provide privacy-focused tools and APIs that enable developers to easily integrate advanced privacy features into their 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 create a new open digital economy in which users truly control their assets and data.