Variscite, a System on Module (SoM) designer, developer and manufacturer, is currently demonstrating its newest SoMs for the first time at Embedded World 2023 in Nuremberg, Germany, at stand 3A-135.
The VAR-SOM-MX93 is ideal for energy-efficient machine learning edge devices, with a rich set of features for markets like industrial, IoT, and smart devices at an attractive price point, starting at $39. Powered by a 1.7GHz Dual Cortex-A55 NXP i.MX 93 processor, the industry’s first implementation of the Arm neural processing unit (NPU), Ethos-U65 microNPU, VAR-SOM-MX93 accelerates ML workloads and offers an energy-flex architecture for efficient processing.
The SoM offers an additional 250MHz Cortex-M33 real-time co-processor, AI/ML capabilities, built-in security and a wide range of industrial features.
In addition, Variscite is showing the new, the VAR-SOM-AM62, starting at $33 and powered by Texas Instruments’ AM62x. It is an ideal platform for cost-sensitive embedded products that require low power, high performance and a GPU. The VAR-SOM-AM62 runs on 1.4GHz Quad-core Cortex-A53 AM625x with 400MHz Cortex-M4F and additional 333MHz PRU real-time co-processors. It offers rich connectivity options like a camera interface, dual LVDS display, certified dual-band Wi-Fi, BT/BLE 5.2, 3x CAN bus, dual USB, and dual GbE.
The company unveils real world machine learning performance benchmarks for the latest addition to its SoM portfolio. For this performance benchmark, Variscite compared 3 modules with different CPU performance, pricing, power efficiency level and ML options.
