What is latency optimization in classification inference systems?

Latency optimization reduces the time taken for a classification model to return predictions.

Techniques include model quantization, pruning, caching, batching, and hardware acceleration (GPU/TPU). Systems also optimize data pipelines and reduce serialization overhead. In high-scale systems, even milliseconds matter for user experience and cost efficiency.