STMicroelectronics
STM32L4 Edge AI Guides
128 KB SRAM at 80 MHz limits ML to small models (anomaly detection, simple classification). FPU and DSP help but clock speed constrains real-time inference.
Hardware Specs
| Processor | ARM Cortex-M4F @ 80 MHz |
| Cores | 1 |
| Clock | 80 MHz |
| SRAM | 128 KB |
| Flash | 1 MB |
| FPU | single |
| Connectivity | USB OTG FS |
| Key Features | Ultra-low-power (< 100 nA shutdown), Single-precision FPU, DSP instructions, AES hardware acceleration |
| Price | $4–$12 (chip), $15–$50 (dev board) |
22 dev boards available across PlatformIO registries.
Hardware Guides
STM32L4 Anomaly Detection with Edge Impulse
For anomaly detection, the STM32L4 with Edge Impulse scores Excellent. Its 128 KB internal SRAM (4.0x the required 32 KB) and 80 MHz clock e…
STM32L4 Anomaly Detection with TFLite Micro
The STM32L4 pairs anomaly detection with extreme power efficiency. Its 128 KB SRAM runs autoencoder models while drawing under 100 nA in shu…
STM32L4 Fall Detection with Edge Impulse
The STM32L4 is an excellent match for fall detection with Edge Impulse. 128 KB SRAM delivers 2.0x the 64 KB minimum while 80 MHz processes 2…
STM32L4 Fall Detection with TFLite Micro
The STM32L4 is an excellent match for fall detection with TFLite Micro. 128 KB SRAM delivers 2.0x the 64 KB minimum while 80 MHz processes 2…
STM32L4 Gesture Recognition with Edge Impulse
STMicroelectronics's STM32L4 is a solid choice for gesture recognition using Edge Impulse. The cortex-m4f core at 80 MHz with 128 KB SRAM ac…
STM32L4 Gesture Recognition with TFLite Micro
Running gesture recognition on the STM32L4 with TFLite Micro is practical. 128 KB SRAM meets the 64 KB minimum with 2.0x headroom. The 80 MH…
STM32L4 Predictive Maintenance with Edge Impulse
The STM32L4 with Edge Impulse enables battery-operated predictive maintenance for remote machinery. Its ultra-low-power modes (under 100 nA …
STM32L4 Predictive Maintenance with TFLite Micro
The STM32L4 handles predictive maintenance effectively with TFLite Micro. 128 KB SRAM at 80 MHz provides 2.0x headroom over the 64 KB requir…
STM32L4 Sound Classification with Edge Impulse
STMicroelectronics's STM32L4 excels at sound classification via Edge Impulse. The 1-core cortex-m4f at 80 MHz with 128 KB SRAM handles 40 KB…
STM32L4 Sound Classification with TFLite Micro
The STM32L4 is an excellent match for sound classification with TFLite Micro. 128 KB SRAM delivers 2.0x the 64 KB minimum while 80 MHz proce…
STM32L4 Voice Recognition with Edge Impulse
STMicroelectronics's STM32L4 is a solid choice for voice recognition using Edge Impulse. The cortex-m4f core at 80 MHz with 128 KB SRAM acco…
Related Guides
Edge Agents vs Cloud Agents
Edge agents vs cloud agents: latency, privacy, cost, reliability, and determinism compared, and when to run the agent loop on-device vs in the cloud.
Edge AI Agents on Microcontrollers
How edge AI agents run on microcontrollers: the sense-reason-act loop on-device, architecture, memory constraints on ESP32 and STM32, and when to use them.
Edge AI for Manufacturing
How manufacturers deploy edge AI for quality control, predictive maintenance, and energy monitoring. MCU-based solutions without cloud dependency.
Edge AI vs Cloud AI: When to Use Which
Compare edge AI and cloud AI across latency, cost, privacy, and power. Learn when to process on-device and when cloud inference is the better choice.
Predictive Maintenance with Edge AI
Deploy edge AI for predictive maintenance. Vibration analysis, anomaly detection, and ROI calculation for MCU-based monitoring on factory equipment.
Other Microcontrollers
EFR32MG
Silicon Labs
256 KB RAM · 40 MHz
ESP32
Espressif
520 KB RAM · 240 MHz
ESP32-C3
Espressif
400 KB RAM · 160 MHz
ESP32-C6
Espressif
512 KB RAM · 160 MHz
ESP32-S2
Espressif
320 KB RAM · 240 MHz
ESP32-S3
Espressif
512 KB RAM · 240 MHz
GAP8
GreenWaves Technologies
512 KB RAM · 250 MHz
i.MX RT1052
NXP
512 KB RAM · 600 MHz
i.MX RT1062
NXP
1024 KB RAM · 600 MHz
i.MX RT1064
NXP
1024 KB RAM · 600 MHz
LPC55xx
NXP
320 KB RAM · 150 MHz
nRF52832
Nordic Semiconductor
64 KB RAM · 64 MHz
nRF52833
Nordic Semiconductor
128 KB RAM · 64 MHz
nRF52840
Nordic Semiconductor
256 KB RAM · 64 MHz
RA6M5
Renesas
512 KB RAM · 200 MHz
SAMD51
Microchip
256 KB RAM · 120 MHz
SAME51
Microchip
256 KB RAM · 120 MHz
STM32F3
STMicroelectronics
80 KB RAM · 72 MHz
STM32F4
STMicroelectronics
192 KB RAM · 168 MHz
STM32F7
STMicroelectronics
512 KB RAM · 216 MHz
STM32G4
STMicroelectronics
128 KB RAM · 170 MHz
STM32H5
STMicroelectronics
640 KB RAM · 250 MHz
STM32H7
STMicroelectronics
1024 KB RAM · 480 MHz
STM32L5
STMicroelectronics
256 KB RAM · 110 MHz
STM32U5
STMicroelectronics
786 KB RAM · 160 MHz
STM32WB
STMicroelectronics
256 KB RAM · 64 MHz
Orchestrate STM32L4 Edge AI with ForestHub
The STM32L4 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