EmbeddedRelated.com
The 2026 Embedded Online Conference
Arduino Nano 33 BLE Sense

Arduino Nano 33 BLE Sense

MPN: ABX00031
Arduino
NINA-B306, nRF52840 Arduino Nano 33 BLE Sense NINA-B3, Maker ARM® Cortex®-M4F MCU 32-Bit Embedded Evaluation Board

Overview

The Arduino Nano 33 BLE Sense is a compact, high-performance development board built around the u-blox NINA-B306 module and the Nordic nRF52840 SoC. This board is specifically designed for Edge AI applications, featuring an ARM Cortex-M4F processor running at 64MHz with a wide array of integrated environmental and motion sensors. It supports Bluetooth 5.0 and includes a dedicated crypto chip for secure IoT communications.

Why Choose This Part

The board offers an unmatched sensor density in a 18mm x 45mm form factor, including a microphone and gesture sensor. With 1024KB of Flash and 256KB of RAM, it provides ample resources for complex BLE stacks and local data processing without an external MCU. The 3.3V logic level and breadboard-friendly pins make it ideal for rapid prototyping of low-power wireless devices.

Applications

On-Device Machine Learning
Running TinyML models for gesture recognition, voice command detection, or anomaly detection using the onboard sensors.
Environmental Monitoring
Utilizing the integrated temperature, humidity, and pressure sensors for precision climate data logging.
Wearable Technology
Developing smart wearables that leverage the 9-axis IMU, color sensor, and Bluetooth Low Energy connectivity.
Secure IoT Nodes
Creating authenticated wireless nodes that require hardware-based security via the integrated crypto chip.

Key Specifications

Type MCU 32-Bit
Contents Board(s)
Platform Arduino Nano 33 BLE Sense
Mounting Type Fixed
Core Processor ARM Cortex-M4F
Utilized IC / Part NINA-B306, nRF52840

Getting Started

Begin by installing the Arduino Mbed OS Nano Boards core through the Arduino IDE Board Manager. Connect the board via its micro-USB port to upload sketches; it is fully compatible with libraries like TensorFlow Lite Micro for embedded machine learning. Note that the board operates strictly at 3.3V and is not 5V tolerant on its GPIO pins.

Also Consider

Arduino Nano 33 BLE Arduino - A more cost-effective version of the same board for projects that do not require the environmental sensor suite.
The 2026 Embedded Online Conference