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Latency is important for AI inference because it directly impacts the user experience. Lower latency means faster response times, which is crucial for interactive applications like real-time chatbots, autonomous driving systems, or interactive gaming. If the inference takes too long, users become impatient and the application becomes unusable. Furthermore, in many real-time scenarios, decisions need to be made almost instantaneously, and high latency can lead to missed opportunities or incorrect outcomes. Therefore, optimizing latency is essential for deploying AI models