Ultimate Pico RP2040 Development Board Dual‑Core 133MHz Microcontroller USB1.1 Host Support Low‑Power Sleep Hibernation For MicroPython Programming

Ultimate Pico RP2040 Development Board

📌 Product Introduction

The Ultimate Pico RP2040 is a low‑cost, high‑performance microcontroller development board with flexible digital interfaces. It adopts the RP2040 microcontroller chip independently developed by Raspberry Pi, equipped with a dual‑core ARM Cortex M0 processor running at up to 133MHz, built‑in 264KB SRAM and 16MB flash memory, and up to 30 multifunctional GPIO pins on‑board. For software development, users can choose the official C/C++ SDK or develop with MicroPython. Comprehensive development materials and tutorials are provided for quick development and embedding applications into finished products.

✨ Main Features

• Uses the Raspberry Pi officially self‑designed RP2040 microcontroller chip
• Equipped with a dual‑core ARM Cortex M0 processor, flexible clock frequency up to 133MHz
• Built‑in 264KB SRAM and 16MB on‑chip Flash
• Supports USB 1.1 host and device mode
• Supports low‑power sleep and dormant modes
• Recognizable as mass‑storage device via USB for drag‑and‑drop program downloading
• Up to 30 multifunctional GPIO pins
• 2 SPI, 2 I2C, 2 UART, 4 12‑bit ADC, 16 controllable PWM channels
• Precise on‑chip clock and timer
• Built‑in temperature sensor
• On‑chip accelerated floating‑point library
• 8 programmable I/O (PIO) state machines for custom peripheral support
• Pre‑flashed with MicroPython firmware, directly available for MicroPython development

📋 Technical Parameters

Item	Parameter
Main Chip	RP2040 Dual‑core Cortex‑M0+
Max Clock Frequency	133MHz
SRAM	264KB
Flash	16MB
GPIO Quantity	30 Multifunctional GPIO
Communication Interface	2×SPI, 2×I2C, 2×UART,4×12‑bit ADC
PWM Channel	16 channels
USB	USB1.1 Host & Device
Dimension	53.6 × 21 mm
Weight	4.4g
Working Temperature	-40℃ ~ +85℃

⚠ Important Usage Notice

Kind reminder: If there are version differences or images not been updated, please refer to the actual product.

🛠 Application Scenarios

Suitable for embedded learning, DIY electronic projects, sensor data acquisition, product prototype verification, industrial control and various microcontroller development projects.