NXP Semiconductors has expanded its physical AI market by unveiling an application processor capable of simultaneously implementing AI processing, wireless connectivity, and security capabilities in edge environments. The new processor focuses on reducing design complexity for edge-based AI devices by integrating AI accelerators, wireless connectivity, and security into a single package.

NXP announced on the 11th in Seoul that it has launched the 'i.MX 93W' application processor, an extension of the i.MX 93 product family. According to the company, the product is an application processor that combines a dedicated AI NPU and secure tri-radio wireless connectivity, and is primarily targeted at physical AI applications operating in edge environments.

The i.MX 93W features a dual-core Arm Cortex-A55-based application processor and an Arm Ethos NPU with up to 1.8 eTOPs of performance. It also integrates the IW610 tri-radio connectivity, supporting Wi-Fi 6, Bluetooth LE, and 802.15.4, enabling the building of Matter- and Thread-based devices. NXP explained that this integrated structure can replace up to 60 individual components, reducing board area, design complexity, and supply chain burden.

One of the technical features is the simplification of RF design and wireless certification processes. The company claims that by providing pre-certified single- and dual-antenna reference designs, it can reduce RF tuning and wireless coexistence issues, as well as shorten the certification costs and time associated with product development.

On the security front, the EdgeLock Secure Enclave is integrated to support core functions such as secure boot, device authentication, and security updates. Device security is strengthened through a hardware-based root of trust (HRoT), and integration with the EdgeLock 2GO key management service supports secure provisioning during device manufacturing or in the field.

This integrated platform is expected to be utilized in a variety of fields, including smart buildings, healthcare devices, industrial IoT gateways, and energy infrastructure monitoring equipment. For example, in smart buildings, AI agents connecting lighting, HVAC, access control, and energy management systems can support real-time operational optimization. In the healthcare sector, wearable devices, diagnostic equipment, and sensor-based data analysis can enable on-site responsive services.

NXP sees this product as a platform for rapidly deploying collaborative AI agents in edge environments. Charles Dax, Senior Vice President of NXP, explained that the goal is to reduce design complexity and accelerate the development of edge-based AI applications by integrating AI computation and secure wireless connectivity. Partners also evaluated that the simplified system design and certification process will reduce costs and development times in the development of industrial IoT devices and connected HMIs.