Imagination Announces PowerVR series3NX Neural Network Accelerator, Bringing Multi-Core Scalability to the Embedded AI Market

Offering single-core performance from 0.6 to 10 TOPS with multi-core scalability beyond 160 TOPS to reach unprecedented levels of compute performance and scalability

Imagination Technologies announces PowerVR Series3NX, its latest neural network accelerator (NNA) architecture. Building on the success of its multi award-winning predecessor, Series3NX provides an unrivalled level of scalability, enabling SoC manufacturers to optimise compute power and performance across a range of embedded markets such as automotive, mobile, smart surveillance and IoT edge devices.

A single Series3NX core scales from 0.6 to 10 tera operations per second (TOPS), while multicore implementations can scale beyond 160 TOPS. Thanks to architectural enhancements, including lossless weight compression, the Series3NX architecture benefits from a 40% boost in performance in the same silicon area over the previous generation, giving SoC manufacturers a nearly 60% improvement in performance efficiency and a 35% reduction in bandwidth.

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As part of the Series3NX architecture, Imagination is also announcing the PowerVR Series3NX-F (Flexible) IP configuration to provide an unprecedented balance of functionality and flexibility, combined with industry-leading performance. Using Series3NX-F customers can differentiate and add value to their offerings through the OpenCL framework.

“There are tremendous opportunities to apply AI at the edge to create devices that are more capable, more autonomous and easier to use,” said Jeff Bier, founder of the Embedded Vision Alliance. “In many of these applications, a key challenge is achieving the right combination of processing performance, flexibility, cost and power consumption. I applaud Imagination Technologies’ ongoing investment in creating innovative processors to meet these needs.”

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Russell James, vice president, Vision & AI, Imagination, says: “The Series3NX architecture and Series3NX-F are built without compromise. Together they bring flexibility and scalability, while near doubling top-line performance. This is a game changer, a true enabler for mass AI adoption in embedded devices.”

To cater for a rapidly developing market, new PowerVR tooling extensions can optimally map emerging network models, offering an ideal mix of flexibility and performance optimisation.

With Imagination’s dedicated DNN (Deep Neural Network) API, developers can easily write AI applications targeting Series3NX architecture as well as existing PowerVR GPUs. The API works across multiple SoC configurations for easy prototyping on existing devices.

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