Swan Chain, a decentralized infrastructure, is utilizing blockchain technology to tackle the challenges in the AI sector. By integrating underutilized computing resources, Swan Chain aims to reduce expenses by up to 70% and streamline secure data operations.
The AI industry is full of potential, but it also faces significant hurdles. High costs for computing power and storage spaces hinder innovators and businesses seeking to push the boundaries of AI. Additionally, maintaining data privacy while ensuring efficient operations is a complex technical problem, especially within blockchain environments. These issues make the need for accessible and secure AI integration more crucial than ever.
Established in 2021, Swan Chain (formerly FilSwan) is leveraging OP Stack’s Ethereum layer-2 technology to accelerate the adoption of AI. By combining Web3 with AI, Swan Chain provides a comprehensive range of storage, computing, bandwidth, and payment solutions.
On April 29, Swan Chain launched its Proxima Testnet, the final testing stage before the planned mainnet launch. This launch coincided with the Atom Accelerator Race, which features a Contribution Credit System with a reward pool of 15 million credits. The system measures and rewards user engagement within the platform, with credits correlating to potential rewards during the token generation event.
Swan Chain collaborates with Lagrange DAO, a decentralized autonomous organization focused on data value realization, to facilitate seamless and cost-effective AI model deployment. Lagrange serves as a decentralized computing platform, providing secure storage and deployment capabilities for code and enabling developers to create Web3 applications with various tooling options.
During the Saturn Testnet, Swan Chain engaged over 80 computing providers from more than 15 countries and 20 cities, with the majority located in T3 data centers. The network processed over 145 million transactions, deployed over 630,000 contracts, and provided millions of CPU and GPU hours of computing resources.
Swan Chain addresses the high costs associated with computing and storage in the AI sector by integrating underutilized computing resources from community data centers. This approach can significantly reduce costs and monetize idle computing assets.
Another focus area for Swan Chain is the secure and efficient computation of zero-knowledge proofs (ZKPs) within the blockchain ecosystem. The platform offers outsourcing services for ZKP computations, supporting global blockchain networks like Filecoin and Aleo.
Swan Chain also lowers the entry barriers for developers and users to access decentralized AI resources. Tools such as Lagrange DAO, Multi-Chain Storage, and support for advanced AI models democratize access to AI technologies.
To enhance interoperability, Swan Chain has decentralized resource trading markets for storage, AI, and ZK suppliers. The platform has also formed strategic partnerships with industry players like Filecoin, IPFS, Chainlink, and Optimism.
Swan Chain offers an Ethereum Virtual Machine (EVM) compatible, high-throughput, low-cost environment on OP Superchain, an Ethereum layer 2 solution. This enables existing Ethereum decentralized applications (DApps) to migrate to Swan Chain for more efficient and cost-effective operations, particularly for resource-intensive decentralized AI applications.
By organizing a network of independent computing nodes, Swan Chain enhances the robustness and resilience of its computing network. The decentralized setup ensures stability and efficiency, even in the face of issues.
Supported by industry heavyweights such as Binance Labs, Protocol Labs, and Chainlink Labs, Swan Chain aims to democratize access to advanced AI and blockchain technologies. The platform’s partnerships with Nvidia, Google Web3 Startup Program, Microsoft Startup Program, and others further contribute to its goal of creating a more interconnected and efficient ecosystem.
Swan Chain’s innovative approach paves the way for a new era of technological integration, where barriers between sophisticated computing and everyday applications diminish. This fosters widespread technological empowerment and innovation.
Reduced costs and enhanced usability make AI more accessible through Blockchain technology.