Press release
NXP’s i.MX 93 Applications Processor Family Powers a New Era of Secure Edge Intelligence
Fast, efficient, low-cost machine learning acceleration enables IoT, automotive and industrial edge applications with the industry’s first implementation of
About this update from Nxp Semiconductors N.v.
[{"type":"text","content":"Fast, efficient, low-cost machine learning acceleration enables IoT, automotive and industrial edge applications with the industry’s first implementation of the Arm® Ethos™-U65 microNPU.Simplifies deployment of security in edge applications with state-of-the-art NXP EdgeLock™ secure enclave that enhances on-die security capabilities.Provides low-power, always-on machine learning and sensor fusion functionality with built-in real-time domain MCU inside the applications processors EINDHOVEN, The Netherlands, Nov. 09, 2021 (GLOBE NEWSWIRE) -- NXP Semiconductors (NASDAQ: NXPI) today announced the i.MX 93 family of applications processors designed for automotive, smart home, smart building and smart factory applications, which leverage edge machine learning to anticipate and automate based on user needs. As the first applications processors in NXP’s i.MX 9 series, the new i.MX 93 family combines the industry’s first implementation of the Arm Ethos-U65 microNPU with state-of-the-art security and a high degree of integration to deliver efficient, fast, secure machine learning at the edge. These family attributes enable developers to address diverse areas, from voice-assisted smart home and building systems, to low-power industrial gateways and automotive driver monitoring systems. Systems that can process system inputs to make intelligent decisions locally with a high degree of accuracy are essential for the growth of the edge. To take on these challenges, the i.MX 93 family leverages a heterogenous multi-core architecture, including up to 2x 1.7 GHz Arm Cortex®-A55 applications processors and a real-time Cortex-M33 microcontroller sub-system with full access to all SoC peripherals, including the industry’s first implementation of a 256 MACs/cycles Arm Ethos-U65 microNPU. This architecture delivers best-in-class, power-efficient machine learning performance across a variety of applications, including compact, battery-powered IoT devices, which require highly capable and efficient processors to maintain a longer battery life. The i.MX 93 family is highly integrated, supporting a wide variety of industrial and automotive connectivity interface protocols, in addition to broad multi-media interfaces. This makes it easier for designers to connect the i.MX 93 devices across multiple systems. It also reduces the need for external hardware com...