NVIDIA Open Source Deep Learning Accelerator (NVDLA)

Haven't seen any mention of this here, so hopefully this isn't a dupe. Not sure what to make of it - but at the very least it's the ultimate form of documentation right? No more binary blobs? Has anyone seen any analysis of this move?

"The NVIDIA Deep Learning Accelerator (NVDLA) is a free and open architecture that promotes a standard way to design deep learning inference accelerators"

"Xavier is a complete system-on-chip (SoC), integrating a new GPU architecture called Volta, a custom 8 core CPU architecture, and a new computer vision accelerator. The processor will deliver 20 TOPS (trillion operations per second) of performance, while consuming only 20 watts of power. As the brain of a self-driving car, Xavier is designed to be compliant with critical automotive standards, such as the ISO 26262 functional safety specification."

http://nvdla.org
https://github.com/nvdla/

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