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Freenove ESP32-Wrover
by Freenove
Xtensa LX6 with 320 KB SRAM supports basic ML inference for lightweight models
Board Specifications
| Clock Speed | 240 MHz |
| SRAM | 320 KB |
| Flash | 4 MB |
| Connectivity | wifi, bluetooth, ethernet, can |
| Supported Frameworks | arduino, espidf |
| MCU Family | ESP32 (Espressif) |
| Platform | espressif32 |
Data synced from PlatformIO registry on 2026-04-01
View source on GitHub ↗
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Orchestrate Freenove ESP32-Wrover Edge AI with ForestHub
The Freenove ESP32-Wrover 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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