Intro
Multiple Network— Web3 Privacy Acceleration solution for AI
Last updated
Multiple Network— Web3 Privacy Acceleration solution for AI
Last updated
Multiple Network is a Web3 Privacy Acceleration solution for AI that provides privacy protection and data acceleration services based on P2P and SD-WAN technologies. By aggregating the bandwidth of distributed nodes, it offers anonymous communication and encrypted transmission services. Multiple Network provides higher bandwidth and lower latency, widely used in AI model invocation, search engine interactions, and the encryption and acceleration of large-scale sensitive data, enhancing the efficiency and security of AI model training and inference.
As an emerging decentralized privacy network (DePIN Unicorn), Multiple Network's core mission and vision are to build a decentralized network to promote the transmission of private encrypted digital data. Through its innovative De-WAN (Decentralized Wide Area Network) technological principles, Multiple Network leverages blockchain, software-defined WAN (SD-WAN), peer-to-peer (P2P) networks, and encryption technologies to further strengthen its privacy and data acceleration capabilities.
Empowered by De-WAN technology principles, Multiple Network has envisioned and constructed an innovative, decentralized platform where different demographics of its network users ranging from giant corporations, small-medium enterprises and individuals can consistently experience secure, seamless and high speed data transmission process, regardless of their whereabouts. Multiple Network has built an innovative decentralized platform that provides strong support for AI applications.
Speed and Stability for AI Training and Inference
High Bandwidth and Low Latency: Multiple Network uses P2P and SD-WAN technology to aggregate bandwidth from distributed nodes, providing fast data transfer. This allows AI models to quickly access and transfer data during training and inference.
Stability Assurance: SD-WAN's dynamic routing optimizes paths during Network interruptions or high traffic, ensuring stable data flow and reducing transmission fluctuations.
Privacy and Security
Anonymous Communication: P2P Network anonymity protects user privacy by concealing participant identities during data transmission.
Encrypted Transfer: End-to-end encryption safeguards data during transmission, especially crucial for handling sensitive information.
Secure Data Exchange: Ensures high-security standards for API calls and data exchanges during AI model usage, effectively preventing cyberattacks and data leaks.
