Background on Swan
SwanChain is the first AI Super Chain dedicated to decentralized AI computing and development. Leveraging OP Super chain technology, Swan Chain integrates Web3 and AI by providing a comprehensive ecosystem that spans computing, storage, and AI applications. SwanChain harnesses underutilized computing power from a global network of community data centers, reducing costs by up to 70% and creating new opportunities to monetize idle resources.
The core of Swan’s ecosystem revolves around:
- Decentralized AI Computing Market: At the heart of Swan Chain's ambition is the creation of a marketplace that empowers AI developers with the necessary computational resources for training and deploying sophisticated AI models on AI platforms like Lagrange. This initiative is designed to fill the void between the high demand for premium computing in AI research and the resources available within the blockchain ecosystem.
- Support for Web3 Projects: Swan Chain acknowledges the transformative essence of Web3 technologies, aspiring to lay down a foundational infrastructure that underpins the deployment and functioning of decentralized applications (DApps). This includes a suite of decentralized storage solutions, computing power, and ancillary services, all aimed at propelling the decentralized web's expansion.
- Innovative Ecosystem Products: The ecosystem of Swan Chain is augmented with groundbreaking products like MultiChain.storage for decentralized data storage, the Lagrange platform for decentralized computing, and a Decentralized Task Orchestrator, which collectively streamline the management and distribution of computing tasks across the network.
- Universal Basic Income (UBI) Model: A standout feature of Swan Chain is its commitment to fostering a fair and equitable ecosystem via the implementation of a UBI model for computing providers. This innovative approach guarantees compensation for participants' contributions, promoting inclusivity and sustainability within the network.
For more information about Swan, visit the official Swan documentation page.