Synaptics Extends Edge AI Portfolio with New Adaptive MCUs for Multimodal Context-Aware Computing
Synaptics Incorporated has extended its award-winning Synaptics Astra AI-Native platform with the SR-Series high-performance adaptive microcontroller units (MCUs) for scalable context-aware Edge AI. The series features three tiers of operation: performance (100 GOPS), efficiency, and ultra-low-power (ULP) always-on (AON) to deliver intelligence at every power level. Based on an Arm Cortex-M55 core and the Arm Ethos-U55 neural processing unit (NPU), the SR-Series is supported by the Astra Machina Micro development kit and open-source SDK. It is optimized for multimodal consumer, enterprise, and industrial Internet of Things (IoT) workloads with accelerators and adaptive vision, audio, and voice algorithms. The small-form-factor MCUs have a rich set of peripherals—including multiple camera interfaces—to help minimize system cost, power, and footprint while enabling integration into a wide range of devices, such as battery-operated security cameras, sensors, appliances, point-of-sale, digital signage, and scanners.
Announced at EW2024 with the SL-Series MPUs, the Synaptics Astra AI-Native compute platform for the IoT combines scalable, low-power compute silicon for the device Edge with open-source, easy-to-use software and tools and Veros wireless connectivity. The platform was built upon Synaptics' foundation in neural networks, field-hardened AI hardware and compiler design expertise for the IoT, and refined, in-house support of a broad base of modalities.
Announced at EW2024 with the SL-Series MPUs, the Synaptics Astra AI-Native compute platform for the IoT combines scalable, low-power compute silicon for the device Edge with open-source, easy-to-use software and tools and Veros wireless connectivity. The platform was built upon Synaptics' foundation in neural networks, field-hardened AI hardware and compiler design expertise for the IoT, and refined, in-house support of a broad base of modalities.