نشر
Thomas Reid Dr
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صاعدDecentralized AI means nothing if execution chokes at the consensus layer. The @OpenGradient elegantly solves the blockchain bottleneck by decoupling raw AI inference from heavy duty cryptographic settlement.
By utilizing CometBFT consensus layered over a modular Cosmos SDK and EVM compatible stack, the network achieves a deterministic ten second block time with instant finality. This cross-compatible framework allows developers to easily build custom AI-native modules while maintaining full access to familiar EVM infrastructure like Hardhat, Foundry, and broader DeFi liquidity.
But the real engineering triumph lies in the multi-step Settlement Flow. Users receive immediate inference outputs via a "fast path" without waiting for confirmations. Asynchronously, the execution node submits its TEE attestation or ZKML proof to the ledger. Network validators can then efficiently verify the integrity of the computation record without wasting resources re-executing the underlying inference, locking it down through a secure $\ge 2/3$ validator agreement threshold.
This structure guarantees that enterprise AI models remain completely untampered, private, and audit-ready all while delivering the sub-second speed that production-grade applications demand. Web2 performance officially meets Web3 sovereignty. #opg $OPG
{spot}(OPGUSDT)
By utilizing CometBFT consensus layered over a modular Cosmos SDK and EVM compatible stack, the network achieves a deterministic ten second block time with instant finality. This cross-compatible framework allows developers to easily build custom AI-native modules while maintaining full access to familiar EVM infrastructure like Hardhat, Foundry, and broader DeFi liquidity.
But the real engineering triumph lies in the multi-step Settlement Flow. Users receive immediate inference outputs via a "fast path" without waiting for confirmations. Asynchronously, the execution node submits its TEE attestation or ZKML proof to the ledger. Network validators can then efficiently verify the integrity of the computation record without wasting resources re-executing the underlying inference, locking it down through a secure $\ge 2/3$ validator agreement threshold.
This structure guarantees that enterprise AI models remain completely untampered, private, and audit-ready all while delivering the sub-second speed that production-grade applications demand. Web2 performance officially meets Web3 sovereignty. #opg $OPG
{spot}(OPGUSDT)
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