NVIDIA Unveils Open Source Hardware NVDLA Deep Learning Accelerator

Orange Pi Development Boards

NVIDIA is not exactly known for their commitment to open source projects, but to be fair things have improved since Linus Torvalds gave them the finger a few years ago, although they don’t seem to help much with Nouveau drivers, I’ve usually read positive feedback for Linux for their Nvidia Jetson boards.

So this morning I was quite surprised to read the company had launched NVDLA (NVIDIA Deep Learning Accelerator), “free and open architecture that promotes a standard way to design deep learning inference accelerators”

Comparison of two possible NVDLA systems – Click to Enlarge

The project is based on Xavier hardware architecture designed for automotive products, is scalable from small to large systems, and is said to be a complete solution with Verilog and C-model for the chip, Linux drivers, test suites, kernel- and user-mode software, and software development tools all available on Github’s NVDLA account. The project is not released under a standard open source license like MIT, BSD or GPL, but instead NVIDIA’s own Open NVDLA license.

This an on-going project, and NVIDIA has a roadmap until H1 2018, at which point we should get FPGA support for accelerating software development, as well as support for TensorRT and other supported frameworks.

Via Phoronix

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Natsu
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Natsu

NVIDIA is loosing its biggest Tegra ARM business With Tesla that turned toward custom design With AMD, so open source seems to natural and logic way to go for them

Bumsik Kim
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Bumsik Kim

No, Nvidia still has a ton of cumtomers other than Tesla. And Tesla is not mainly working with AMD but Intel.