Lagrange: How the 'Computing Power Grid' of the zkML Track Reshapes the Web3 Economic Model
In the next stage of Web3, the real bottleneck is no longer consensus, but verifiable computation. Lagrange Labs is creating a decentralized computing power grid with a 'ZK as a service' model.
Its core product, DeepProve, has achieved a 158-fold performance breakthrough in the zkML field. This means that AI model inference can be completed off-chain while generating ZK proofs that can be verified on-chain—enterprises can prove their decision-making compliance without exposing core algorithms. Fields such as healthcare, finance, and autonomous driving have already integrated this technology. #lagrange
The business model of @Lagrange Official is highly disruptive: developers pay for LA API calls on demand, while computing power nodes provide proof services and earn revenue by staking $LA . This forms a decentralized 'ZK labor market', where resource allocation is optimized by a DARA (double auction) mechanism, balancing efficiency and fairness.
More critically, its DA layer strategy. Under a modular architecture, Rollup relies on external data availability. Lagrange provides low-cost and high-security DA services through incentive mechanisms and redundant storage, becoming a 'public good' for the multi-chain ecosystem.
Integration with EigenLayer anchors its security to Ethereum; collaboration with Ankr releases ultra-parallel computing power; and exploration with Azuki creates new scenarios for NFT verification. @Lagrange Official is building a cross-chain, cross-application ZK ecological network.
LA is not just a payment medium but a symbol of network participation rights. As institutions like Frax Finance integrate on-chain dynamic interest rate model verification, the actual demand for LA will continue to grow.
The ambition of #Lagrange is not to become another Layer2 but to become the 'trust infrastructure provider' of Web3—opening up a market worth hundreds of billions at the intersection of AI and blockchain.
