Machine learning infrastructure includes the resources, processes, and tooling needed to develop, train, and operate machine learning models. It is sometimes referred to as AI infrastructure or a component of MLOps.
ML infrastructure supports every stage of machine learning workflows. It enables data scientists, engineers, and DevOps teams to manage and operate the various resources and processes required to train and deploy neural network models. Learn more about Triton Inference Server.