Latency Optimization
The practice of reducing response latency in AI systems to improve responsiveness, throughput, and user experience.
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Related terms
The time delay between an AI system receiving a request and producing a response or completing an operation.
Inference OptimizationThe process of improving the speed, latency, throughput, memory usage, or cost-efficiency of AI model inference through techniques such as quantization, pruning, batching, caching, hardware acceleration, and optimized model serving.
Performance TuningThe process of improving an AI system's speed, resource efficiency, throughput, or responsiveness by adjusting its implementation and runtime configuration.
Response TimeThe total duration required for an AI system or service to process an input query and return the completed output.