The collaboration will make it easier for IoT chip companies to integrate artificial intelligence into their designs, Nvidia said.
“Inferencing will become a core capability of every IoT device in the future,” said Deepu Talla, vice president and general manager of autonomous machines at Nvidia, in a statement. “Our partnership with ARM will help drive this wave of adoption by making it easy for hundreds of chip companies to incorporate deep learning technology.”
NVDLA is offered as a free, open architecture and is intended to promote a standard way to design deep learning inference accelerators. It is supported by developer tools, including upcoming versions of TensorRT, a programmable deep learning accelerator.
“Nvidia is the clear leader in ML training and ARM is the leader in IoT end points, so it makes a lot of sense for them to partner on IP,” said Karl Freund, lead analyst for deep learning at Moor Insights & Strategy, in the same statement.
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