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Lagrange (LA) is a blockchain infrastructure project focused on zero-knowledge proof (ZKP) technology, dedicated to advancing Web3 through verifiable computation and cross-chain interoperability. Its core products include ZK co-processors, decentralized storage networks, and innovative token economic models, aimed at providing efficient and secure data verification solutions for the blockchain ecosystem.
1. Decentralized Storage Network
Lagrange's decentralized storage network optimizes data storage and verification through zero-knowledge proofs (ZKP), reducing storage costs by over 40% while ensuring data security and verifiability. The network has been integrated with several mainstream blockchain projects, including EigenLayer, Mantle, and Base, to support cross-chain data queries.
2. ZK Co-processor
Lagrange's ZK co-processor is one of its core innovations, supporting:
Cross-chain interoperability: Verifying the states of different blockchains through ZK proofs, enabling trustless cross-chain communication.
AI verifiable computation: Developed in collaboration with NVIDIA, the DeepProve system ensures that the computational results of AI models are verifiable, applicable in fields such as finance, healthcare, and defense.
Efficient parallel computing: Utilizing Reckle
#lagrange @Lagrange Official $LA
1. Decentralized Storage Network
Lagrange's decentralized storage network optimizes data storage and verification through zero-knowledge proofs (ZKP), reducing storage costs by over 40% while ensuring data security and verifiability. The network has been integrated with several mainstream blockchain projects, including EigenLayer, Mantle, and Base, to support cross-chain data queries.
2. ZK Co-processor
Lagrange's ZK co-processor is one of its core innovations, supporting:
Cross-chain interoperability: Verifying the states of different blockchains through ZK proofs, enabling trustless cross-chain communication.
AI verifiable computation: Developed in collaboration with NVIDIA, the DeepProve system ensures that the computational results of AI models are verifiable, applicable in fields such as finance, healthcare, and defense.
Efficient parallel computing: Utilizing Reckle
#lagrange @Lagrange Official $LA
Disclaimer: Includes third-party opinions. No financial advice. May include sponsored content. See T&Cs.
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