Development Board
RYMCU ESP32-S3-DevKitC-1-N8R2 (8 MB QD, 2 MB PSRAM)
by RYMCU
Xtensa LX7 with 320 KB SRAM and vector SIMD instructions provides good ML inference performance
Board Specifications
| Clock Speed | 240 MHz |
| SRAM | 320 KB |
| Flash | 8 MB |
| Connectivity | bluetooth, wifi |
| Supported Frameworks | arduino, espidf |
| MCU Family | ESP32-S3 (Espressif) |
| Platform | espressif32 |
Data synced from PlatformIO registry
View source on GitHub ↗
Hardware Guides for ESP32-S3
ESP32-S3 Anomaly Detection with Edge Impulse
Excellent
ESP32-S3 Anomaly Detection with TFLite Micro
Excellent
ESP32-S3 Fall Detection with Edge Impulse
Excellent
ESP32-S3 Fall Detection with TFLite Micro
Excellent
ESP32-S3 Gesture Recognition with Edge Impulse
Excellent
ESP32-S3 Gesture Recognition with TFLite Micro
Excellent
Explore More
Orchestrate RYMCU ESP32-S3-DevKitC-1-N8R2 (8 MB QD, 2 MB PSRAM) Edge AI with ForestHub
The RYMCU ESP32-S3-DevKitC-1-N8R2 (8 MB QD, 2 MB PSRAM) 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.
Get Started Free