The NVIDIA Deep Learning Accelerator (NVDLA) is a free and open architecture that promotes a standard way to design deep learning inference accelerators. With its modular architecture, NVDLA is scalable, highly configurable, and designed to simplify integration and portability. Learn more about NVDLA on the project web page. This release, in the nvdlav1 branch, contains the non-configurable "full-precision" version of NVDLA. This non-configurable version is fixed at 2048 8-bit MACs (or 1024 16-bit fixed- or floating-point MACs). This branch is expected to be a stable sustaining release; although bug fixes may be added, new RTL feature improvements will not appear in this branch. Additionally, this branch will diverge from the master branch; commits from that branch may be cherry-picked into this branch, but wholesale merges from master will not appear on nvdlav1.