PyTorch is a popular machine learning library, known for its ease of use and dynamic approach to computing, which makes it straightforward to design, debug and experiment with models. It allows you to develop complex architectures quickly, with code that stays clean and feels just like standard Python. When run on a CPU server, PyTorch performs particularly well, thanks to efficient parallel processing and optimisations for modern processors. It’s well suited to prototyping, training medium-sized models and, above all, inference, offering a flexible solution that makes light demands on hardware.