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SeeedStudio LoRa-E5 mini
by SeeedStudio
Cortex-M4F with 64 KB SRAM supports ML inference via CMSIS-NN optimized kernels
Board Specifications
| Clock Speed | 48 MHz |
| SRAM | 64 KB |
| Flash | 256 KB |
| Connectivity | None |
| Supported Frameworks | arduino |
| Platform | ststm32 |
Data synced from PlatformIO registry on 2026-04-01
View source on GitHub ↗
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Orchestrate SeeedStudio LoRa-E5 mini Edge AI with ForestHub
The SeeedStudio LoRa-E5 mini 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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