Sockeye 3 is the latest version of the Sockeye toolkit for Neural Machine Translation (NMT). Now based on PyTorch, Sockeye 3 provides faster model implementations and more advanced features with a further streamlined codebase. This enables broader experimentation with faster iteration, efficient training of stronger and faster models, and the flexibility to move new ideas quickly from research to production. When running comparable models, Sockeye 3 is up to 126% faster than other PyTorch implementations on GPUs and up to 292% faster on CPUs. Sockeye 3 is open source software released under the Apache 2.0 license.

The performance of machine translation systems, which previously relied on phrase-based systems, has suddenly improved with the advent of neural network-based models. An open-source framework called Sockeye was released in 2018. This framework provides quick and dependable PyTorch implementation for neural machine translation (NMT) and other related tasks. It supports Amazon Translate and several other NMT applications. In 2020, Sockeye 2, its improved version, was also launched.

Amazon has introduced the latest version of their Sockeye toolkit for the efficient training of stronger and faster neural machine translation (NMT) models. Sockeye 3 achieves speeds up to 126 percent faster than other PyTorch implementations on GPUs and up to 292 percent faster on CPUs.