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Espressif ESP32-S2-Kaluga-1 Kit
by Espressif
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 | 4 MB |
| Connectivity | wifi |
| Supported Frameworks | arduino, espidf |
| MCU Family | ESP32-S2 (Espressif) |
| Platform | espressif32 |
Data synced from PlatformIO registry on 2026-04-01
View source on GitHub ↗
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Orchestrate Espressif ESP32-S2-Kaluga-1 Kit Edge AI with ForestHub
The Espressif ESP32-S2-Kaluga-1 Kit 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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