Apache TVM is an open source deep learning compiler framework for CPUs, GPUs, and specialized accelerators. It aims to close the gap between the productivity-focused deep learning frameworks and the performance or efficiency-focused hardware backends. TVM enables deep learning workloads to run efficiently on a wide range of hardware platforms by providing tools to optimize and compile models. It is commonly used for deploying and optimizing deep learning models on various platforms, including embedded systems, mobile devices, and servers.
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