Multiple Network announces brand upgrade and AI-powered privacy solution
The post Multiple Network announces brand upgrade and AI-powered privacy solution appeared on BitcoinEthereumNews.com.
Multiple Network unveils brand upgrade to address AI-privacy and efficiency, announces MultiGrow testnet launch. In an important step toward combining AI and decentralized ecosystems, Multiple Network has announced a brand change. By resolving issues with privacy protection and data acceleration through its P2P and SD-WAN-based network (Software-Defined Wide Area Network), this upgrade aims to assist consumers worldwide in better understanding and utilizing AI technology. SD-WAN technology enables efficient, secure, and scalable data routing across wide-area networks. This technology improves network performance, reduces costs, and enhances security—critical factors in ensuring fast, reliable connections in decentralized systems. As AI models increasingly rely on large datasets for training, the ability to handle vast amounts of data efficiently becomes even more important. 🔥「 Brand Announcement 」🔥🎉 We’re excited to unveil our brand upgrade: Multiple Network — A Web3 Privacy Acceleration Solution for AI As a leading Web3 solution for AI, we specialize in privacy protection and data acceleration services, leveraging cutting-edge P2P and… pic.twitter.com/efewL6H3gL — Multiple Network (@MTP_Network) December 20, 2024 Since launching its testnet and Miniapp a year ago, the company has achieved approximately 100,000 registered node users and formed strategic partnerships with organizations like OKX Ventures and Youbi Capital. The current rebranding of Multiple Network is a big step towards addressing key challenges in the AI sector, particularly around data privacy and the efficiency of data transfers. As AI models like GPT-4 and deep learning systems evolve, they require scalable and privacy-conscious infrastructure, which has made these concerns even more urgent. AI models rely heavily on large datasets and privacy-preserving methods, such as federated learning and secure networks. Multiple Network’s decentralized approach helps protect user data while optimizing data exchange, addressing these critical needs. As AI adoption expands, ensuring fast and secure data transfer is essential for fostering trust in AI-driven solutions.…
