The SparkFun RedBoard Artemis brings the powerful Artemis module into a familiar Arduino Uno footprint. Built around the Ambiq Apollo3 processor, it runs at 48 MHz (with 96 MHz turbo mode), includes BLE 5.0, and draws less than 1 mA in sleep — making it capable of running TensorFlow Lite models for on-device machine learning.

Programming is straightforward via the Arduino IDE using SparkFun's Artemis Arduino core. A USB-C connector handles programming and serial communication, while a Qwiic connector provides plug-and-play I2C. An on-board digital MEMS microphone enables voice command experiments, and a current measurement jumper simplifies low-power testing.

Key Features

• Artemis Module (Apollo3) – 48 MHz with 96 MHz turbo mode, BLE 5.0
• 1 MB Flash, 384 kB RAM – Ample storage for complex sketches and ML models
• Ultra-Low Power – Less than 1 mA in sleep mode with current measurement jumper
• USB-C Connector – Modern connector for programming and serial communication
• Qwiic / I2C Connector – Solderless connection to I2C sensors and peripherals
• Digital MEMS Microphone – On-board mic for voice recognition and TensorFlow experiments
• JTAG Header – For advanced debugging with professional tools
• Arduino Uno Footprint – Compatible with standard Uno shields

Ideal For

• TensorFlow Lite and on-device machine learning
• BLE-connected IoT projects
• Low-power battery-operated applications
• Voice command and audio detection experiments

Package Contents

• 1× SparkFun RedBoard Artemis

Resources

• Hookup Guide