Raven ProtocolPrice

(RAVEN)

Raven Protocol is a decentralized and distributed network specifically designed for deep learning and artificial intelligence training. Its primary mission is to solve the problem of high costs and slow speeds associated with training complex neural networks. By leveraging a global network of idle computing resources, the protocol aims to provide a more efficient alternative to traditional centralized cloud computing services. The ecosystem functions as a marketplace connecting two main groups: contributors and requesters. Contributors are individuals or organizations that provide their unused hardware power—ranging from individual smartphones and personal computers to large server racks—to the network. In exchange for this computational contribution, they receive rewards in the form of the native Raven token. Requesters are developers or enterprises that need significant processing power to train AI models. By distributing heavy computing tasks across many nodes simultaneously, the protocol claims to drastically reduce the time required for training compared to traditional setups. Technically, the project is built around a framework known as Ravenverse. This framework includes several specialized components such as Ravsock for task scheduling, Ravop for mathematical operations, and RavDL, which serves as a high-level wrapper for building neural network layers. These tools allow developers to integrate decentralized computing into their existing workflows using familiar languages like Python and JavaScript. A key feature of the protocol is its unique consensus mechanism called Proof of Calculation. This system ensures that rewards are distributed fairly based on the speed and accuracy of the calculations performed by each node. This approach prioritizes performance and encourages contributors to optimize their hardware for the network. Beyond AI training, the protocol is expanding its reach into other compute-intensive areas such as Web3, the metaverse, and gaming. It has also established partnerships within the blockchain space, notably working with Ocean Protocol to enable federated learning and secure data processing. By democratizing access to high-performance computing, the project seeks to empower smaller startups and individual researchers to compete with large corporations in the field of artificial intelligence development. Learn more

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