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. Figure 1: WAN optimization … More →

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