One of the core challenges currently facing the industry is its inherent computational capacity limitations. To ensure decentralization and security, all network nodes must perform the same computations repeatedly, which results in high costs and low efficiency.
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To resolve this contradiction, @brevis_zk positions itself as an infinite computation layer, aiming to provide computing power through a verifiable computing method of "off-chain computation and on-chain verification," while maintaining its trustless security.
The core of Brevis is "verifiable computation," which decouples the computation process from the verification process. Heavy computational tasks are executed off-chain, generating a concise ZK proof, while the on-chain smart contract only needs to verify the correctness of the proof at a very low cost, without repeating the entire computation process.
In the implementation process, Brevis primarily adopts a unique hybrid architecture, including two core modules: Pico zkVM and zkCoprocessor.
A universal computing engine that can generate ZK proofs for the execution process of any program. Developers, even those unfamiliar with cryptography, can create an environment for ZK applications. The Pico zkVM adopts a highly modular design that allows the integration of external co-processors to accelerate specific tasks.
zkCoprocessor (ZK Data Co-Processor)
A co-processor customized for blockchain data scenarios. Smart contracts themselves cannot directly access or compute historical states. The zkCoprocessor reads and aggregates historical data (such as user transactions, balances, positions, etc.) off-chain and generates proofs to verify the authenticity of this data.
The architecture of "Universal zkVM + Dedicated Co-Processor", combining flexibility and high performance, enables @brevis_zk to efficiently handle various tasks from DeFi data analysis to complex algorithm verification.
With the continuous improvement of Pico zkVM performance and the ongoing expansion of zkCoprocessor application scenarios, Brevis is moving from scalability to verifiability.
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One of the core challenges currently facing the industry is its inherent computational capacity limitations. To ensure decentralization and security, all network nodes must perform the same computations repeatedly, which results in high costs and low efficiency.
—————————————————————————
To resolve this contradiction, @brevis_zk positions itself as an infinite computation layer, aiming to provide computing power through a verifiable computing method of "off-chain computation and on-chain verification," while maintaining its trustless security.
The core of Brevis is "verifiable computation," which decouples the computation process from the verification process. Heavy computational tasks are executed off-chain, generating a concise ZK proof, while the on-chain smart contract only needs to verify the correctness of the proof at a very low cost, without repeating the entire computation process.
In the implementation process, Brevis primarily adopts a unique hybrid architecture, including two core modules: Pico zkVM and zkCoprocessor.
Pico zkVM (General Zero-Knowledge Virtual Machine)
A universal computing engine that can generate ZK proofs for the execution process of any program. Developers, even those unfamiliar with cryptography, can create an environment for ZK applications. The Pico zkVM adopts a highly modular design that allows the integration of external co-processors to accelerate specific tasks.
zkCoprocessor (ZK Data Co-Processor)
A co-processor customized for blockchain data scenarios. Smart contracts themselves cannot directly access or compute historical states. The zkCoprocessor reads and aggregates historical data (such as user transactions, balances, positions, etc.) off-chain and generates proofs to verify the authenticity of this data.
The architecture of "Universal zkVM + Dedicated Co-Processor", combining flexibility and high performance, enables @brevis_zk to efficiently handle various tasks from DeFi data analysis to complex algorithm verification.
With the continuous improvement of Pico zkVM performance and the ongoing expansion of zkCoprocessor application scenarios, Brevis is moving from scalability to verifiability.