NEAR introduces Nillion privacy technology to build a high-performance confidential ecosystem.

NEAR Partners with Nillion: The Perfect Combination of Privacy and Performance

Recently, an important technological integration has attracted widespread attention in the blockchain field. The NEAR public chain has introduced Nillion's blind computing and blind storage technology, a move that will bring significant privacy enhancements to the NEAR ecosystem.

NEAR, as a highly regarded L1 blockchain network, has always been known for its outstanding performance. Its core advantages include Nightshade sharding technology, a WebAssembly-based smart contract runtime, and a user-friendly readable account system. These features have attracted a large number of developers, allowing the NEAR ecosystem to thrive, and it currently has over 750 active projects.

This collaboration with Nillion combines NEAR's high performance with advanced privacy tools, bringing new possibilities to the entire ecosystem:

  1. Modular Data Privacy: Developers can flexibly store and compute data within the Nillion network while achieving transparent settlement on the NEAR blockchain.

  2. Private Data Management: Nillion's technology provides private storage and computing capabilities for various types of data, significantly expanding the design space for privacy protection applications within the NEAR ecosystem.

  3. Privacy AI: Combining NEAR's focus on decentralized AI, Nillion's privacy computing capabilities provide new possibilities for developing innovative AI solutions.

NEAR Blockchain Introduces Privacy Nillion: The Intersection of Privacy and Performance

This episode opens up new avenues for privacy protection applications within the NEAR ecosystem, especially in the AI field:

  • Private inference: Protect proprietary machine learning models and user inputs.
  • Private Proxy: Ensures the privacy of AI agent operations.
  • Federated Learning: Enhance model training privacy on decentralized datasets.
  • Private Synthetic Data: Protecting data privacy during the GAN training process.
  • Private Retrieval-Augmented Generation (RAG): Achieving privacy-preserving information retrieval.

In addition to AI, this integration will also promote the development of cross-chain privacy solutions, support the construction of privacy-first community platforms, enhance the security and privacy of the DeFi ecosystem, and provide developers with more privacy protection tools.

By combining NEAR's high-performance infrastructure with Nillion's advanced privacy features, developers will be able to build more powerful and secure applications that meet real-world needs. This collaboration marks a step towards more open, secure, and privacy-protecting blockchain technology, providing users with better data control capabilities and asset management options.

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SandwichTradervip
· 07-09 16:04
Privacy is very promising
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ForkMastervip
· 07-09 16:04
A late king is still a king.
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StrawberryIcevip
· 07-09 16:04
It's worth taking a long position.
View OriginalReply0
ETHReserveBankvip
· 07-09 16:02
Privacy is important support
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ShadowStakervip
· 07-09 16:00
Privacy must be in place
View OriginalReply0
PoetryOnChainvip
· 07-09 15:42
Privacy is really important.
View OriginalReply0
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