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This paper describes the NiuTrans system for the WMT21 translation efficiencytask (http://statmt.org/wmt21/efficiency-task.html). Following last year'swork, we explore various techniques to improve efficiency while maintainingtranslation quality. We investigate the combinations of lightweight Transformerarchitectures and knowledge distillation strategies. Also, we improve thetranslation efficiency with graph optimization, low precision, dynamicbatching, and parallel pre/post-processing. Our system can translate 247,000words per second on an NVIDIA A100, being 3$\times$ faster than last year'ssystem. Our system is the fastest and has the lowest memory consumption on theGPU-throughput track. The code, model, and pipeline will be available atNiuTrans.NMT (https://github.com/NiuTrans/NiuTrans.NMT).

The NiuTrans System for the WMT21 Efficiency Task