AI Acceleration

Enhancing the speed of AI model training and inference, as well as network stability.

• High Bandwidth and Low Latency: Through optimizations based on P2P and SD-WAN technologies, Multiple Network aggregates the bandwidth of distributed nodes to provide high-speed data transmission services. This feature enables AI models to acquire and transmit data at faster speeds during training and inference phases.

• Stability Assurance: The dynamic routing optimization technology of SD-WAN can switch to the best path during network interruptions or high traffic, ensuring stable data flow and reducing fluctuations during transmission.

• Cross-Regional Data Synchronization: Rapidly synchronizing distributed datasets globally to shorten training and inference times, particularly suitable for tasks requiring real-time responses, such as search engine interactions or large-scale data processing.