In this episode I speak about machine learning compilers, the most important tools to bridge the gap between high level frontends, ML backends and hardware target architectures.\nThere are several compilers one can choose. Before that, let's get familiar with what a compiler is supposed to do.\nEnjoy the episode!\n\xa0\nChat with me\nJoin us on Discord community chat to discuss the show, suggest new episodes and chat with other listeners!\n\xa0\nSponsored by Amethix Technologies\nAmethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.\n\xa0\nLinks\nAmethix Embedded Machine Learning\nhttps://tvm.apache.org/\nhttps://github.com/pytorch/glow\nhttps://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html