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Inference Latency

Date of Addition

17 October 2025

The time delay measured in milliseconds between submitting a query to an AI model and receiving the complete generated response, representing a critical performance metric that directly impacts user experience in production applications. Inference latency comprises multiple components including network transmission time, request queuing, prompt processing, iterative token generation, and response formatting, with each element subject to optimization through architectural choices and infrastructure configuration. High latency undermines real-time conversational interfaces, chatbots, and interactive applications where users expect sub-second response times, making it a primary constraint determining which model architectures and deployment strategies are viable for specific use cases regardless of accuracy advantages.​

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