The realm of artificial intelligence (AI) brims with promise, yet it grapples with numerous hurdles. The steep expenses associated with computing power and extensive storage solutions impede the progress of innovators and enterprises striving to advance the frontiers of Blockchain Revolutionizes AI.
Additionally, striking a balance between data privacy and operational efficiency presents a formidable technical challenge, particularly within the realm of blockchain. This dilemma frequently puts developers in a tough spot, striving to leverage sophisticated tools without incurring hefty costs or jeopardizing security. With these challenges looming large, the pursuit of accessible and secure AI integration emerges as increasingly imperative.
Founded in 2021, Swan Chain, formerly known as FilSwan, stands as a decentralized framework engineered to expedite the integration of AI. By harnessing the Ethereum layer-2 technology of OP Stack, Swan Chain seamlessly combines Web3 and AI, providing an extensive array of storage, computing power, bandwidth, and payment solutions.
However, Swan Chain initiated its Proxima Testnet, marking the final testing phase preceding its anticipated mainnet release, on April 29th, coinciding with the kickoff of the Atom Accelerator Race. This event introduces a Contribution Credit System, with a reward pool totaling 15 million credits.
Cost-Cutting Blockchain Boosts AI Accessibility
The system’s credits are correlated with possible incentives that users can get when the platform has a token generating event. Furthermore, the network supplied over 2.85 million CPU hours and 600,000 GPU hours of computing resources.
The AI sector grapples with the considerable expense of high-performance computing and extensive storage. Swan Chain offers a solution by harnessing the latent power of community data centers’ underutilized computing resources. This approach can slash costs by as much as 70% while also providing a means to monetize idle computing assets.
The service streamlines the transition of current Ethereum decentralized applications (DApps) to Swan Chain, enhancing their operational efficiency while reducing costs. This is especially advantageous for decentralized AI applications that require substantial resources.
Related Reading | https://btcpolitan.com/tron-blockchain-founder-backs-changpeng-zhao-ahead-of-sentencing/
The author’s views are for reference only and shall not constitute any investment advice. Please ensure you fully understand and assess the products and associated risks before purchasing.
Comments (No)