STMicroelectronics
STM32F3 Edge AI Guides
80 KB SRAM with Cortex-M4F FPU and DSP supports very basic ML inference via CMSIS-NN. Limited RAM constrains model size to simple classification tasks.
Hardware Specs
| Processor | ARM Cortex-M4F @ 72 MHz |
| Cores | 1 |
| Clock | 72 MHz |
| SRAM | 80 KB |
| Flash | 512 KB |
| FPU | single |
| Connectivity | |
| Key Features | Mixed-signal (high-speed ADC + DAC + comparators + op-amps), Motor control PWM (advanced timers), Single-precision FPU |
| Price | $2–$5 (chip), $10–$15 (dev board) |
Dev Boards in This Family
2 edge-AI-capable STM32F3 development boards with specs and compatibility details.
Hardware Guides
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Orchestrate STM32F3 Edge AI with ForestHub
The STM32F3 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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