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Nvidia and Arm today announced a partnership that’s aimed at making it easier for chip makers to incorporate deep learning capabilities into next-generation consumer gadgets, mobile devices and Internet of Things objects. Mostly, thanks to this partnership, artificial intelligence could be coming to doorbell cams or smart speakers soon.
Arm intends to integrate Nvidia’s open-source Deep Learning Accelerator (NVDLA) architecture into its just-announced Project Trillium platform. Nvidia says this should help IoT chip makers incorporate AI into their products.
“Accelerating AI at the edge is critical in enabling Arm’s vision of connecting a trillion IoT devices,” said Rene Haas, EVP, 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.”
Announced last month, Arm’s Project Trillium is a series of scalable processors designed for machine learning and neural networks. NVDLA open-source nature allows Arm to offer a suite of developers tools on its new platform. Together, with Arm’s scalable chip platforms and Nvidia’s developer’s tools, the two companies feel they’re offering a solution that could result in billions of IoT, mobile and consumers electronic devices gaining access to deep learning.
Deepu Tallam, VP and GM of Autonomous Machines at Nvidia, explained it best with this analogy: “NVDLA is like providing all the ingredients for somebody to make it a dish including the instructions. With Arm [this partnership] is basically like a microwave dish.”
