LightSeq provides optimized CUDA kernels for transformer operations used in NLP sequence processing tasks including machine translation, BERT, and GPT. The library offers both training acceleration and high-throughput inference with support for int8 and fp16 mixed-precision computation. It integrates with Fairseq and Hugging Face frameworks for model deployment and supports beam search, diverse decoding, and sampling strategies.