NVIDIA and Arm to Build Deep Learning IoT Chips

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NVIDIA and Arm to Build Deep Learning IoT Chips

At the GPU AI & Deep Learing Technology Conference in San Jose, CA., NVIDIA and Arm announced that they are partnering to bring deep learning inferencing to the billions of mobile, consumer electronics and Internet of Things devices that will enter the global marketplace. Under this partnership, NVIDIA and Arm will integrate the open-source NVIDIA Deep Learning Accelerator (NVDLA) architecture into Arm’s Project Trillium platform for machine learning. The collaboration will make it simple for Deep Learning IoT chip companies to integrate AI into their designs and help put intelligent, affordable products into the hands of billions of consumers worldwide.

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.

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.

Accelerating AI at the edge is critical in enabling Arm’s vision of connecting a trillion IoT devices,

said Rene Haas, executive vice president, and president of the IP Group, at Arm.

Today we are one step closer to that vision by incorporating NVDLA into the Arm Project Trillium platform, as our entire ecosystem will immediately benefit from the expertise and capabilities our two companies bring in AI and IoT.


Author: Tim Cole
Image Credit: ARM

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