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NVDLA hardware utilizes standard practices to interface with the rest of the system: a control channel implements a register file and interrupt interface, and a pair of standard AXI bus interfaces are used to interface with memory.

This enables the same NVDLA hardware architecture to serve a variety of implementation sizes.The NVDLA software ecosystem includes an on-device software stack (part of the open source release), a full training infrastructure to build new models that incorporate Deep Learning, and parsers that convert existing models to a form that is usable by the on-device software.The open source NVDLA project is managed as an open, directed community.This kind of command-execute-interrupt flow repeats until inference on the entire network is complete.NVDLA implementations generally fall into two categories: , below, shows an example of a headless NVDLA implementation while the Large System model shows a headed implementation.

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