Apache TVM is an open source machine learning compiler that distills the largest, most powerful deep learning models into lightweight software that can run on the edge. This allows the outputed model to run inference much faster on a variety of target hardware (CPUs, GPUs, FPGAs & accelerators) and save significant costs.
In this deep dive, we’ll discuss how Apache TVM works, share the latest and upcoming features and run a live demo of how to optimize a custom machine learning model.
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