Security News > 2024 > July > GenAI network acceleration requires prior WAN optimization

As GenAI models used for natural language processing, image generation, and other complex tasks often rely on large datasets that must be transmitted between distributed locations, including data centers and edge devices, WAN optimization is essential for robust deployment of GenAI applications at a scale.

WAN optimization can significantly enhance AI acceleration by improving data transfer speeds, reducing latency, and optimizing the use of network resources, thus ensuring faster response times.

Reduce latency: GenAI apps require real-time or near-real-time data processing.

Achieve application acceleration by optimizing protocols to reduce overhead. Example: A distributed AI system collects data from multiple resources, ensuring faster data aggregation and processing.

Example: Training AI models using data from various geographical locations; WAN Optimization can accelerate data transfer between data centers, reducing the overall training time.

Optimize resource utilization: Efficient use of network resources can lower operational costs and improve the overall performance of AI systems by ensuring that computational resources are not idling while waiting for data.

News URL

https://www.helpnetsecurity.com/2024/07/19/wan-optimization/