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Home » Reduced costs and improved usability bolster AI accessibility through Blockchain integration
Reduced costs and improved usability bolster AI accessibility through Blockchain integration
Reduced costs and improved usability bolster AI accessibility through Blockchain integration
Blockchain

Reduced costs and improved usability bolster AI accessibility through Blockchain integration

05/13/20243 Mins Read
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Swan Chain, a trailblazer in the AI sector, harnesses the power of blockchain to revolutionize the industry by optimizing resource utilization and enhancing secure data operations. Launched in 2021, the company, previously known as FilSwan, has embraced Ethereum’s layer-2 technology through OP Stack to integrate Web3 with AI, offering a comprehensive suite of solutions for storage, computing, bandwidth, and payments.

The AI landscape, brimming with potential, faces significant challenges due to exorbitant costs for computing and storage. Swan Chain addresses these hurdles by integrating idle computing resources from community data centers, reducing expenses by up to 70%. This innovative approach not only saves costs but also paves the way for secure, efficient AI integration within blockchain environments.

The Proxima Testnet, launched in April 2023 as part of the Atom Accelerator Race, serves as a crucial testing ground before the mainnet launch. The race, which includes a 15 million credit reward pool, incentivizes users, developers, and explorers to engage with the platform. This system rewards engagement, aligning credits with potential token generation event rewards.

Swan Chain collaborates with Lagrange DAO, a decentralized organization focused on data value realization, to facilitate seamless AI model deployment. Lagrange, a decentralized computing platform, provides secure storage and deployment options, empowering developers to create Web3 applications with a rich set of tools.

The platform has already demonstrated its prowess with six testnet runs, witnessing participation from diverse regions and providers, including T3 data centers. During the Saturn Testnet, it processed over 145 million transactions, engaged 25 million wallet addresses, and deployed 630,000 contracts in a short span. The computing resources, including 2.85 million CPU hours and 600,000 GPU hours, further highlight its capacity to address AI’s resource-intensive demands.

Swan Chain’s commitment to solving AI problems through blockchain extends to the secure computation of zero-knowledge proofs (ZKPs) and the facilitation of ZKP outsourcing services for global networks like Filecoin and Aleo. The ZK market on the platform has processed over 50,000 tasks within two months, demonstrating its potential in this area.

By lowering the barriers for developers and users, Swan Chain introduces tools like Multi-Chain Storage and supports advanced AI models, fostering a more inclusive AI ecosystem. The platform’s interoperability is further strengthened through decentralized resource trading markets and strategic partnerships with industry leaders like Filecoin, IPFS, Chainlink, and Optimism.

By offering an Ethereum Virtual Machine (EVM)-compatible, high-throughput, low-cost environment on OP Superchain, Swan Chain complements Ethereum’s limitations, enabling efficient migration of decentralized applications and resource-intensive AI projects.

Backed by the support of industry giants such as Binance Labs, Protocol Labs, and Outlier Ventures, Swan Chain is poised to reshape the AI landscape and create a more interconnected and efficient ecosystem. Its innovative approach has the potential to bridge the gap between sophisticated computing and everyday applications, empowering widespread technological advancement and innovation.

For more information on Swan Chain, visit their official website or follow their journey as they continue to democratize access to cutting-edge technologies. Please note that this article is not an investment advice and readers should conduct their own research before making any decisions.

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