GD32F350RBT6

The GD32F350RBT6 (Cortex-M4) has equivalents like:
- STM32F303RBT6 (similar specs, M4 core)
- STM32F302RBT6 (M4, lower performance)
- NXP LPC1549JBD48 (M3, comparable peripherals)
- TI Tiva TM4C123GH6PM (M4, similar features)
Check pin compatibility and peripheral requirements for exact replacements.

The GD32F350RBT6 is a 32-bit ARM Cortex-M4 MCU with these key features:
- Core: 108 MHz Cortex-M4 with FPU and DSP instructions
- Memory: 128 KB Flash, 32 KB SRAM
- Peripherals:
- 3x USART, 2x SPI, 2x I2C
- 1x USB 2.0 FS, 1x CAN 2.0B
- 16-bit 5-channel advanced timer
- 12-bit ADC (16 ch, 2.6 MSPS)
- GPIO: Up to 80 I/O pins
- Operating Voltage: 2.6V–3.6V
- Packages: LQFP64
- Temperature Range: -40°C to +85°C
- Low Power: Sleep/Standby modes
Ideal for industrial control, consumer electronics, and IoT applications.

The GD32F350RBT6 is a 32-bit ARM Cortex-M4 microcontroller with:
- Pin Count: 64 pins (LQFP-64 package).
- Key Functions:
- GPIO: Up to 55 I/O pins (5V tolerant).
- Communication: USART, SPI, I2C, CAN.
- Analog: 12-bit ADC (1Msps), DAC, comparators.
- Timers: Advanced PWM, general-purpose, and basic timers.
- Memory: 128KB Flash, 32KB SRAM.
- Clock: Up to 108MHz with internal RC/PLL.
- Debug: SWD & JTAG support.
Suitable for industrial control, IoT, and consumer electronics.

The GD32F350RBT6, a Cortex-M4 MCU by GigaDevice, is widely used in:
- Consumer Electronics (smart home devices, wearables)
- Industrial Control (PLC, HMI, motor control)
- IoT & Wireless (BLE, Zigbee gateways)
- Automotive (body control, lighting)
- Medical Devices (portable monitors)
- Embedded Systems (data loggers, sensors)
Key features include 72 MHz speed, 128KB Flash, 32KB RAM, rich peripherals (USB, ADC, PWM), and low power consumption, making it versatile for cost-sensitive applications.

The GD32F350RBT6 comes in an LQFP-64 package. This surface-mount package has 64 leads, a low-profile quad flat design, and a body size of 10×10 mm. It is suitable for compact PCB designs and offers good thermal and electrical performance for embedded applications.