The SparkFun Artemis SnowBoard is a limited-edition version of the RedBoard Artemis, featuring a matte black finish with the Artemis snowflake logo. Built around the powerful Artemis module in a familiar Arduino Uno footprint, it offers Bluetooth Low Energy, 1 MB flash, 384 KB RAM, and TensorFlow-capable machine learning — all while running at under 1 mA in sleep mode.

Programming is straightforward via USB-C using SparkFun's Arduino core, with a time-to-first-blink of under five minutes. A Qwiic connector provides instant I2C sensor connectivity, and an on-board digital MEMS microphone supports voice command experiments with TensorFlow. A JTAG connector is exposed for advanced debugging.

Key Features

• Artemis Module – 48 MHz (96 MHz turbo), Cortex-M4F with BLE 5.0
• 1 MB Flash / 384 KB RAM – Ample space for complex sketches and ML models
• Ultra-Low Power – Less than 1 mA sleep current; current measurement jumper included
• TensorFlow Lite Support – Run machine learning models on-device
• Digital MEMS Microphone – For voice commands and audio experiments
• USB-C Programming – Modern connector with reliable USB-to-serial
• Qwiic Connector – Solderless I2C sensor connection
• Arduino Uno Footprint – Compatible with standard shields
• JTAG Header – For professional debugging tools
• Limited Edition – Matte black finish with Artemis snowflake design

Ideal For

• BLE-enabled IoT projects
• TensorFlow Lite and machine learning experiments
• Ultra-low-power sensor nodes and wearables
• Voice command prototyping with the on-board microphone

Package Contents

• 1× SparkFun Artemis SnowBoard

Resources

• RedBoard Artemis Hookup Guide