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Delphinus Lab and ZAN have reached a cooperation to speed up zero-knowledge proof calculation by more than 20%

Delphinus Lab and ZAN have reached a cooperation to speed up zero-knowledge proof calculation by more than 20%

Bitget2024/05/14 09:27

PANews reported on May 14 that the zkWASM open source community Delphinus Lab announced the upgrade of the ZK (zero-knowledge proof) acceleration service. After introducing the ZAN team’s integrated software and hardware acceleration solution, the GPU computing performance increased by more than 20%, setting a record for similar services in the community. This will help improve the product experience for developers.

It is understood that ZAN’s technical team’s GPU acceleration library accelerates and optimizes operators commonly used in zero-knowledge proofs, including multi-scalar point multiplication MSM, number theory transformation NTT, H polynomial solution, polynomial opening proof and other key components, making full use of It reduces the computing resources, storage bandwidth and PCIe bandwidth of the GPU, significantly improving computing efficiency.

Delphinus Lab is an infrastructure provider that implemented what is known in the industry as the first open source zkWASM virtual machine. zkWASM technology enables developers to make zero-knowledge (ZK) applications using their preferred programming language and deploy them in a WebAssembly (WASM)-powered environment to further protect application security and privacy.

ZAN is Ant Digital's overseas-oriented Web3 one-stop technical service platform. Its products include eKYC (digital identity verification), KYT (transaction risk control), smart contract audit, node services, etc. Its ZK acceleration related technical solutions have been selected into the "DAC 2024, the top international conference on integrated circuit design", and can be applied to technical fields such as trusted AI reasoning and Layer 2 proof, which can effectively improve the efficiency of zero-knowledge proof calculations.

Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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