The Arduino GIGA R1 WiFi is designed for ambitious makers who want to step up their game. It levels the playing field for gamers, artists, sound designers and anyone coming to the tech world with big ideas on a budget – because it packs advanced features into an accessible component, with the same form factor as our popular Mega and Due.

Let’s break down all the powerful features of this board.

Microcontroller (STM32H747XI): This dual core 32-bits microcontroller allows you have two brain talking to each other (a Cortex-M7 at 480 MHz and a Cortex-M4 at 240 MHz) you can even run micropython in one and Arduino in the other.

Wireless communication (Murata 1DX):  Whether you prefer Wi-Fi or Bluetooth, the GIGA R1 WiFi got you covered. You can even quickly connect to the Arduino IoT Cloud and keep track of your project remotely. And if you are concerned about the security of the communication, the ATECC608A keeps everything under control.

Hardware ports and communication: Following the legacy of the Arduino Mega and the Arduino Due, the GIGA R1 WiFi has 4 UARTs (hardware serial ports), 3 I2C ports (1 more than its predecessors), 2 SPI ports (1 more than its predecessors), 1 FDCAN.

GPIOs and extra pins: We wanted to keep the same form factor of the Mega and the Due, so you can easily adapt your custom made shields to the GIGA R1 WiFi (remember this board works at 3.3V though!) and we added extra headers to access extra pins, leaving the total count to 76 GPIO pins, and the best part, you can access them from underneath, so keep your project as it is and just think on how to expand it. Also, we added two new pins: a VRTC so you can connect a battery to keep the RTC running while the board is off and an OFF pin so you can shut down the board.

Connectors: The GIGA R1 WiFi has extra connectors on board which will facilitate the creation of your project without any extra hardware. This board has:

• USB-A connector suitable for hosting USB sticks, other mass storage devices and HID devices such as keyboard or mouse.
• 3.5mm input-output jack connected to DAC0, DAC1 and A7.
• USB-C® to power and program the board, as well as simulate an HID device such as mouse or keyboard.
• Jtag connector, 2x5 1.27mm.
• 20 pin Arducam camera connector.

Higher voltage support: In comparison with its predecessors that support up to 12 volts, the GIGA R1 WiFi can handle a range of 6 to 24 volts.

DEVELOPMENT BOARD, 32BIT, XTENSA LX7;

Key Features:

• Tiny footprint: Designed with the well-known Nano form factor in mind, this board's compact size makes it perfect for embedding in standalone projects.
• Wi-Fi and Bluetooth: Harness the power of the ESP32-S3 microcontroller, well-known in the IoT realm, with full Arduino support for wireless and Bluetooth connectivity.
• Arduino and MicroPython support: Seamlessly switch between Arduino and MicroPython programming with a few simple steps. Arduino even offer an introductory course for those new to the MicroPython world.
• Arduino IoT Cloud compatible: Quickly and easily create IoT projects with just a few lines of code. Our setup takes care of security, allowing you to monitor and control your project from anywhere using the Arduino IoT Cloud app. (Available starting August 2023)
• HID support: Emulate human interface devices, such as keyboards or mice, over USB, opening up new possibilities for interacting with your computer.

Tech Specs:

The Arduino Nano 33 BLE Sense Rev2 with headers is Arduino’s 3.3V AI enabled board in the smallest available form factor with a set of sensors that will allow you without any external hardware to start programming your next project, right away.

With the Arduino Nano 33 BLE Sense Rev2, you can:

• Build wearable devices that using AI can recognize movements.
• Build a room temperature monitoring device that can suggest or modify changes in the thermostat.
• Build a gesture or voice recognition device using the microphone or the gesture sensor together with the AI capabilities of the board.

The main feature of this board, besides the complete selection of sensors, is the possibility of running Edge Computing applications (AI) on it using TinyML. Learn how to use the Tensor Flow Lite library following this instructions or learn how to train your board using Edge Impulse.

Tech Specs

Microcontroller - nRF52840

Operating Voltage - 3.3V

Input Voltage - 21V

DC Current per I/O Pin - 15mA

Clock Speed - 64MHz

CPU Flash Memory - 1MB (nRF52840)

SRAM - 256KB (nRF52840)

EEPROM - none

Digital Input / Output Pins - 14

PWM Pins - All digital pins

UART - 1

SPI - 1

I2C - 1

Analog Input Pins - 8 (ADC 12 bit 200 k samples)

Analog Output Pins - Only through PWM (no DAC)

External Interrupts - All digital pins

LED_BUILTIN - 13

USB - Native in the nRF52840 Processor

IMU - BMI1270 and BMM150

Microphone - MP34DT06JTR

Gesture, light, proximity, color - APDS9960

Barometric pressure - LPS22HB

Temperature, humidity - HS3003