In the field of Computing Power trading, Lagrange is leading a revolutionary change. Traditional off-chain computing models have many drawbacks: the project party either invests heavily in building their own ZK servers or relies on third-party service providers, which not only incurs high costs but also faces challenges regarding data security and credibility.

Lagrange has fundamentally changed the situation by innovatively applying zero-knowledge proof technology. It transforms the previously opaque computing process into fully verifiable transparent operations, with each step anchored by cryptographic hashes. This approach ensures the verifiability of the computing results while effectively protecting the privacy of the original data.

The LA token plays a core role in the Lagrange ecosystem. Holders can not only earn rewards based on the Computing Power they contribute, but also participate in network governance decisions. Recently, the community passed a proposal to increase the fee-sharing ratio for AI inference tasks to 45%, which directly incentivized nodes to upgrade their hardware facilities, doubling the efficiency of model processing.

This innovative model that combines Computing Power with governance rights transforms node operators from mere resource providers into decision-makers for network development, significantly enhancing participation and enthusiasm.

Under Lagrange's new rules, Computing Power trading has presented a new pattern: the project party can pay fees based on actual usage without the need for a large upfront investment; nodes can flexibly allocate resources according to different task types, maximizing utilization; users can monitor the entire computing process in real-time through the blockchain explorer to ensure transparency.

As applications like AI painting and gene sequencing, which have extremely high data privacy requirements, gradually move towards Web3, Lagrange's set of rules is likely to become a universal standard in the field of trusted computing, injecting new vitality into the trust foundation of the digital economy.