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Latency is crucial for AI inference because it determines how quickly a model can process and respond to inputs. In real-time applications like autonomous driving, healthcare diagnostics, or customer service chatbots, delays can lead to poor user experiences or safety risks. For example, a self-driving car must make split-second decisions, and even a few seconds of latency could cause accidents. Similarly, in finance, high-frequency trading systems rely on low latency to execute trades before market