NVIDIA And Arm To Bring Deep Learning To IoT Devices, Aims To Help Chip Companies Integrate AI Into Their Designs

NVIDIA and Arm has announced their partnership to bring deep learning inferencing to the billions of mobile, consumer electronics and Internet of Things devices that will enter the global marketplace.

This partnership will see that both corporations combine NVIDIA Deep Learning Accelerator (NVDLA) architecture with Project Trillium for Machine Learning (ML). The aim of the collaboration is to help IoT chip companies to easily “integrate AI into their designs and help put intelligent, affordable products into the hands of billions of consumers worldwide.”

Deepu Talla, Vice President and General Manager of Autonomous Machines at NVIDIA said:

Inferencing will become a core capability of every IoT device in the future; 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.

Rene Haas, Executive Vice President, and President of the IP Group, at Arm had this to say:

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

Karl Freund, lead analyst for deep learning at Moor Insights & Strategy said that it is a win-win situation for mobile, IoT and embedded chip companies. He declares that “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.”

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