Apache TVM is an open-source machine learning compilation framework designed to optimize and compile ML models for deployment across a wide range of hardware platforms, from data center GPUs to edge devices. It uses a Python-first approach that allows users to customize compilation pipelines and produce minimal deployable modules tailored to specific hardware backends.