NXP Semiconductors has reported the enhancement of its machine learning development environment and product portfolio.
Through an investment, NXP has established an exclusive, strategic partnership with Canada-based Au-Zone Technologies to expand NXP’s eIQ Machine Learning (ML) software development environment with easy-to-use ML tools and expand its offering of silicon-optimized inference engines for Edge ML.
“NXP’s scalable applications processors deliver an efficient product platform and a broad ecosystem for our customers to quickly deliver innovative systems,” said Ron Martino, Senior Vice President and General Manager of Edge Processing at NXP Semiconductors. “Through these partnerships with both Arm and Au-Zone, in addition to technology developments within NXP, our goal is to continuously increase the efficiency of our processors while simultaneously increasing our customers’ productivity and reducing their time to market. NXP’s vision is to help our customers achieve lower cost of ownership, maintain high levels of security with critical data, and to stay safe with enhanced forms of human-machine-interaction.”
“Au-Zone is incredibly excited to announce this investment and strategic partnership with NXP, especially with its exciting roadmap for additional ML accelerated devices,” said Brad Scott, CEO of Au-Zone. “We created DeepViewTM to provide developers with intuitive tools and inferencing technology, so this partnership represents a great union of world-class silicon, run-time inference engine technology, and a development environment that will further accelerate the deployment of embedded ML features. This partnership builds on a decade of engineering collaboration with NXP and will catalyze to deliver more advanced Machine Learning technologies and a turnkey solution as OEM does continue to transition inferencing to the Edge.”
Additionally, NXP announced that it has been working with Arm as the lead technology partner in evolving Arm Ethos-U microNPU (Neural Processing Unit) architecture to support applications processors.
NXP will integrate the Ethos-U65 microNPU into its next generation of i.MX applications processors to deliver energy-efficient, cost-effective ML solutions for the fast-growing Industrial and IoT Edge.
By adding Au-Zone’s DeepView run-time inference engine to complement open source inference technologies in NXP eIQ, users will be able to quickly deploy and evaluate ML workloads and performance across NXP devices with minimal effort.