What does Outlier channels mean in inference serving?
Outlier channels contain values whose magnitudes are much larger than most peer channels. When one tensor scale preserves those extremes, fewer useful levels remain for ordinary values. Quantizers inspect activation and weight distributions before choosing scale granularity. Teams verify that outlier handling improves task quality without adding unsupported layouts or excessive kernel work.