This session is an introduction into Apache TVM – an end to end compiler framework for deep learning models. It can compile machine learning models from various deep learning frameworks to machine code for different type of hardware targets like CPU, GPU, FPGAs, microcontrollers. It provides bindings for different higher level languages like C++, Rust etc. and also has provision for autotuning the models for different hardware targets. You will learn how to use Apache TVM to deploy your models on different target systems.