The value of Lagrange, fundamentally speaking, is to 'off-chain' complex computations and then 'safely on-chain' them. As we observe the rapid development of emerging sectors like DePIN, DeAI, and ZKML, the high cost of on-chain computations becomes a limiting factor. The ZK Coprocessor launched by Lagrange is precisely aimed at addressing this bottleneck.

It utilizes the Zero Knowledge Proof mechanism, which can verify the correctness of off-chain computations without needing to redo the calculations on-chain. This means that whether it is the inference results of an AI model or the sorting and filtering of a large-scale data set, it can be completed off-chain and then uploaded to the chain for verification through Lagrange.

What's even more remarkable is that Lagrange has designed modular tools specifically for developers, allowing the integration of off-chain logic into the ZK process with minimal code changes. You can think of it as the 'off-chain GPU' in the ZK world—enhancing computational efficiency and making the chain run more smoothly.

Lagrange does not build Rollups; instead, it empowers Rollups, allowing every chain to possess strong off-chain processing capabilities. It bridges ZK, modularization, and data availability, and is becoming an indispensable part of future high-performance chain applications. #Lagrange @Lagrange Official $LA