PhysicsNeMo is an open-source PyTorch framework providing scalable training and inference pipelines for Physics AI models. It supports neural operators, graph neural networks, transformers, and Physics-Informed Neural Networks, enabling researchers to combine physics domain knowledge with data-driven learning for scientific and engineering applications.