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Thunderboard Sense 2 Sensor-to-Cloud Advanced IoT
by Silicon Labs
Cortex-M4 with 256 KB SRAM supports ML inference via CMSIS-NN optimized kernels
Board Specifications
| Clock Speed | 40 MHz |
| SRAM | 256 KB |
| Flash | 1 MB |
| Connectivity | bluetooth |
| Supported Frameworks | mbed, zephyr |
| MCU Family | EFR32MG (Silicon Labs) |
| Platform | siliconlabsefm32 |
Data synced from PlatformIO registry on 2026-04-01
View source on GitHub ↗
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Orchestrate Thunderboard Sense 2 Sensor-to-Cloud Advanced IoT Edge AI with ForestHub
The Thunderboard Sense 2 Sensor-to-Cloud Advanced IoT runs inference on-device. ForestHub on your Linux edge gateway ingests its results over MQTT, orchestrates the sense-reason-act loop as a deterministic, auditable graph, and acts on the line.
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