Just saw @cysic_xyz announce their zero-knowledge proof tech support for the AI network NOYA. As a full-chain yield aggregator, NOYA needs to optimize liquidity allocation in real-time across multi-chain environments. The AI model scans the market 24/7, predicting yield changes, but how can we prove the accuracy of these AI decisions? Traditional solutions either sacrifice transparency or incur high on-chain computation costs. @cysic_xyz's zkML solution allows AI models to perform complex reasoning off-chain and generate zero-knowledge proofs to verify results on-chain. This not only protects the privacy of model weights but also ensures the credibility of strategy execution. The C1 ASIC chip achieves a 4x performance boost per chip, specifically optimized for ZK proof generation. Their GPU acceleration solution supports mainstream ZK systems and outperforms open-source frameworks by over 50%. When NOYA needs to handle large-scale real-time proof generation, traditional cloud services simply can't keep up. @cysic_xyz's distributed proof network leverages hardware acceleration and network coordination to minimize proof generation latency.