Rivalz Network has built a decentralized AI ecosystem through its five core modules, with zNodes verification layer as the technological core, ensuring data integrity through hash comparison and dynamic decryption mechanism. This design not only solves the problem of easy tampering of traditional AI data storage but also improves data retrieval efficiency by more than 40% through the OCY module for fragmented storage. The rAgents (resource-based AI agents) introduced by ROME protocol tokenize Computing Power, storage, and other resources in the form of Non-fungible Tokens, supporting clustered task processing and providing a decentralized Computing Power pool for complex AI model training.

The technical highlight lies in the dynamic spot check algorithm of zNodes, which can automatically adjust the verification frequency according to the network load. Combined with zero-knowledge proof technology, the verification delay is kept within 200ms while ensuring privacy. In addition, the ADCS oracle module compresses the error rate of off-chain data to below 0.03% through a multi-node cross-verification mechanism, providing a reliable data source for high-sensitivity scenarios such as finance and healthcare.
For technical developers, the VORD platform provides SDK support for rapid deployment of AI applications, and the pre-installed federated learning framework allows model training to be completed without data leaving the domain. This combination of technologies is attracting traditional cloud computing users to migrate, with test data showing its overall cost is only 17% of similar services provided by AWS.
RIZ has now launched the Launchpool staking activity on Gate.io, where you can participate in early ecosystem development by staking BTC or USDT to share 20 million RIZ rewards. Spot trading is also launched simultaneously, seize the value window of decentralized AI infrastructure.
Participate in Staking: https://www.gate.io/announcements/article/43371
Join spot trading: https://www.gate.io/trade/RIZ_USDT
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