NXP semiconductors released the application processor series i.MX 93, which uses edge machine learning to predict and automate according to user needs, and is applied to automobiles, smart homes, smart buildings and smart factories. i. MX9 is the first application processor in the series. The new i.mx93 series realizes the industry of arm ethos-u65 micronpu for the first time with the most advanced security and high integration, so as to realize efficient, fast and safe edge machine learning. These home attributes allow developers to meet the needs of different fields, from voice assisted smart home and building systems to low-power industrial gateways and car driver monitoring systems
A system that can process system inputs to form high-precision local intelligent decision-making is very important for edge growth. In order to meet these challenges, the family adopts a heterogeneous multi-core architecture, integrates up to 2x 1.7 GHz arm cortex-a55 application processor and real-time cortex-m33 microcontroller subsystem, and can fully access all SOC peripherals, including the 256mac / cycles arm etheros - u65 microprocessor implemented for the first time in the industry. The architecture produces first-class and energy-saving machine learning performance in a variety of applications, including compact, battery powered Internet of things devices, which need high-performance and efficient processors to maintain longer battery life.
Ron Martino, executive vice president and General manager of NXP Semiconductor's Edge Processing division, said: "With the number of connected devices growing rapidly to 75 billion globally by 2030, it is critical to ensure that we can improve energy efficiency and security, as well as achieve intelligence, in every device." "The highly integrated I.mx 93 application processor will help open up a whole new set of use cases, where you need to be tightly integrated with sensor data to make quick decisions. This will enable a new generation of secure, efficient and smart devices across the Internet of Things, industrial Internet of Things and automotive applications."
The company's edgelock security enclave is a preconfigured, self-management and autonomous security subsystem. It is a standard die feature of the series, allowing developers to deliver their device security goals without in-depth security expertise.Maintaining the security of edge devices for a long time after the first deployment is a challenge, which needs the help of uninterrupted trusted management services. It cooperates with Microsoft to provide customers with comprehensive chip to cloud security solutions, and has made continuous updates and security improvements for more than a decade through the "cloud security" i.MX 93-cs series built by Microsoft azure sphere.
"By providing a comprehensive platform actively supported by the scale and expertise of Microsoft's software, cloud and security experts, we are making it easier for developers to create, connect and maintain innovative iot devices," said Halina McMaster, Project manager, Microsoft Azure Sphere Partner Group. "We partner with NXP to deliver a variety of Microsoft Azure Sphere-certified edge processors that provide a secure environment for customer applications, critical in-the-air update infrastructure, and more than 10 years of security improvements on each Azure Sphere chip. With new secure iot devices, THE I.mx 93-CS chip will bring opportunities for the entire industry in terms of performance optimization, sustainability and security."
The I. Max93-CS processor with Azure Sphere was built on the secure enclave of Microsoft Pluton-enabled EdgeLock. Pluton on the EdgeLock security enclave is the root of reliable hardware trust -- built in silicon -- that supports the full Azure Sphere security stack and lays the foundation for developing highly secure devices for a variety of iot and industrial applications.
