A serving system loads model parameters, preprocesses input, runs forward computation, and decodes or postprocesses results. Hardware, precision, batching, and model architecture determine latency and throughput.
Inference is the computation a trained model performs to produce predictions or generated outputs from new inputs.
A serving system loads model parameters, preprocesses input, runs forward computation, and decodes or postprocesses results. Hardware, precision, batching, and model architecture determine latency and throughput.