RAK3112 WisDuo Module for Edge AI with LoRa®

Product Summary

Note: MHF connectors are generally interoperable with IPEX-style connectors in most practical deployments, allowing cross-use in numerous designs.

Editorial narrative

Note: MHF connectors are generally interoperable with IPEX-style connectors in most practical deployments, allowing cross-use in numerous designs. What Is RAK3112 WisDuo Module for Edge AI with LoRa? RAK3112 is a high-performance LoRa module that combines the ESP32-S3’s AI-capable dual-core processor with the long-range SX1262 LoRa transceiver . Designed for next-generation IoT devices, this module empowers developers to build smarter, faster, and more connected edge systems. It’s applicable for real-time data processing , graphical interfaces, or long-distance mesh communication. With integrated WiFi, BLE, and LoRa in one compact Meshtastic module, RAK3112 eliminates the need for multiple components, reducing hardware complexity while maximizing flexibility. Why You Need RAK3112 WisDuo Module for Edge AI with LoRa Build smarter IoT devices with one powerful module. Whether you're creating a Meshtastic-connected handheld terminal , an edge AI sensor , or a graphical control panel for remote systems , the RAK3112 LoRa wireless module gives you the performance and flexibility to do it all. Why it's useful: All-in-one wireless – Combines LoRa, WiFi, and BLE in one compact module Ready for edge AI – Run lightweight neural networks directly on the device Supports displays – Ideal for interactive dashboards, status panels, and Meshtastic mUI devices Built for mesh networking – Perfect for Meshtastic and long-range communication setups Note: The antenna in Check to Include is a supporting antenna for certification. When purchasing Blade Antenna , you need to use it with MHF TO RP-SMA/SMA Connector type MHF-4 variant. As our customers are starting mass production and deploying their products globally, we want to clarify that our modules' hardware supports multiple LoRaWAN regions. As there is no difference in the hardware, we optimized the variants in our store to make it easier to select the correct module. Please note that the difference between the variants is only in th

Facets

• Last verified: 2026-06-01