Silicon Labs
EFR32MG Edge AI Guides
256 KB SRAM with Cortex-M4F FPU and DSP meets threshold for ML inference. Low clock speed (40 MHz) limits inference throughput — best suited for simple always-on models like anomaly detection.
Hardware Specs
| Processor | ARM Cortex-M4F @ 40 MHz |
| Cores | 1 |
| Clock | 40 MHz |
| SRAM | 256 KB |
| Flash | 1 MB |
| FPU | single |
| Connectivity | 802.15.4 (Thread/Zigbee), Bluetooth 5.0 LE |
| Key Features | Multi-protocol wireless (802.15.4 + BLE), Matter/Thread certified, Ultra-low-power radio, Hardware crypto acceleration |
| Price | $3–$6 (chip), $20–$40 (dev board) |
1 dev boards available across PlatformIO registries.
Hardware Guides
No hardware guides yet. Use the MCU Checker to explore compatibility.
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Orchestrate EFR32MG Edge AI with ForestHub
The EFR32MG 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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