New DART-MX93 System on Module by Variscite Brings Machine Learning to Compact, Cost-Optimized, Rugged Edge Devices
Variscite , a leading worldwide System on Module (SoM) designer, developer and manufacturer, today announced the newest member of the DART Pin2Pin family for machine learning on edge devices at a competitive price for markets like industrial, IoT, smart devices, and wearables.
- Variscite , a leading worldwide System on Module (SoM) designer, developer and manufacturer, today announced the newest member of the DART Pin2Pin family for machine learning on edge devices at a competitive price for markets like industrial, IoT, smart devices, and wearables.
- At only 55 x 30 millimeters—about half the size of a credit card—the DART-MX93 enables machine learning, even in compact devices.
- Its energy-flex architecture provides efficient processing; built-in security ensures data and applications are protected.
- DART-MX93 evaluation kits, which include the scalable VAR-DT8M custom board and an optional LVDS display with a touch panel, are also available.