Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
STM32G474E-EVAL

STM32G474E-EVAL

STMicroelectronics

EVALUATION BOARD WITH STM32G474Q

3

AC164164

AC164164

Roving Networks / Microchip Technology

PIC-IOT WG GOOGLE CLOUD EVAL BRD

125

HWD-MDM-00028

HWD-MDM-00028

Rhomb.io

ESP32 MASTER MODULE

43

C8051F226DK

C8051F226DK

Silicon Labs

C8051F2XX EVAL BRD

1

MIKROE-2385

MIKROE-2385

MikroElektronika

MIKROMEDIA FT90X EVAL BRD

0

MIKROE-394

MIKROE-394

MikroElektronika

EASYPSOC4 CY8C26643 EVAL BRD

0

KITXMCPLT2GOXMC4400TOBO1

KITXMCPLT2GOXMC4400TOBO1

IR (Infineon Technologies)

XMC4400 PLATFORM2GO

24

ADZS-BF526-EZBRD

ADZS-BF526-EZBRD

Analog Devices, Inc.

EZ-BOARD ADSP-BF526 EVAL BRD

0

DM330026

DM330026

Roving Networks / Microchip Technology

DSPIC33EP128GS808 EVAL BRD

13

4200

4200

Adafruit

ADAFRUIT PYBADGE FEATHER

39

EV-ADUCM322IQSPZ

EV-ADUCM322IQSPZ

Analog Devices, Inc.

QUICKSTART PLUS ADUCM322I EVAL

1

RB-D62Q1577TB100

RB-D62Q1577TB100

ROHM Semiconductor

ML62Q1577 REFERENCE BOARD

2

AT32UC3L0-XPLD

AT32UC3L0-XPLD

Roving Networks / Microchip Technology

UC3-L0 XPLAINED AT32UC3L016 EVAL

2

DM320107

DM320107

Roving Networks / Microchip Technology

PIC32MM USB CURIOSITY EVAL BRD

6

EVM430-CAPMINI

EVM430-CAPMINI

Texas Instruments

CAPACITIVE TOUCH EVAL

16

8MNANOD4-EVK

8MNANOD4-EVK

NXP Semiconductors

8MNANOD4-EVK

65

NUCLEO-L496ZG-P

NUCLEO-L496ZG-P

STMicroelectronics

NUCLEO-144 STM32L496ZG-P DEV

59

NUCLEO-L412KB

NUCLEO-L412KB

STMicroelectronics

NUCLEO-32 STM32L412KB EVAL BRD

0

80-000634

80-000634

Critical Link

AM335X EVAL BRD

0

NUCLEO-F722ZE

NUCLEO-F722ZE

STMicroelectronics

NUCLEO-144 STM32F722ZE EVAL BRD

24

Evaluation Boards - Embedded - MCU, DSP

1. Overview

Evaluation Boards (Dev Boards) for Embedded MCUs (Microcontroller Units) and DSPs (Digital Signal Processors) are specialized hardware platforms designed to facilitate the development, testing, and prototyping of embedded systems. These boards provide a physical environment to validate processor capabilities, peripheral integration, and software algorithms before final product deployment. They play a critical role in accelerating development cycles for applications ranging from IoT devices to industrial automation systems.

2. Major Types and Functional Classification

TypeFunctional FeaturesApplication Examples
MCU Evaluation BoardsARM Cortex-M series, integrated peripherals (UART, SPI, I2C), low-power modesSmart sensors, wearables, home automation
DSP Development KitsHigh-speed floating-point processing, SIMD instructions, real-time signal analysisAudio processing, radar systems, motor control
SoC Embedded BoardsIntegrated CPU+GPU+FPGA, multimedia acceleration, OS supportEdge computing, robotics, automotive infotainment
FPGA-based Prototyping BoardsReconfigurable logic, hardware-software co-design, high-speed I/O5G communication, AI inference accelerators

3. Structure and Components

Typical evaluation boards consist of:

  • PCB base with processor/microcontroller soldered onboard
  • Memory modules (SRAM, Flash, DDR)
  • Debugging interfaces (JTAG, SWD, UART)
  • Power management unit (voltage regulators, PMICs)
  • Peripheral connectors (GPIO, ADC/DAC, Ethernet)
  • Expansion headers for add-on modules (shields, PMODs)
  • Onboard sensors/actuators (depending on application focus)

4. Key Technical Specifications

ParameterImportance
Processor ArchitectureDetermines computational capabilities and software ecosystem compatibility
Maximum Clock FrequencyImpacts processing speed and real-time performance
Memory BandwidthAffects data throughput for signal processing applications
Peripheral IntegrationReduces external component requirements and system complexity
Power ConsumptionCritical for battery-powered and thermal-constrained applications
Debugging CapabilitiesEnables efficient firmware development and hardware verification

5. Application Fields

Key industries utilizing evaluation boards:

  • Industrial Automation: PLCs, motor drives, predictive maintenance systems
  • Consumer Electronics: Smart home devices, AR/VR headsets
  • Automotive: ADAS prototyping, ECU development
  • Medical: Portable diagnostic equipment, wearable health monitors
  • Communications: 5G baseband processing, software-defined radios
  • Energy: Smart grid controllers, solar inverters

6. Leading Manufacturers and Representative Products

ManufacturerProduct SeriesKey Features
STMicroelectronicsSTM32 Nucleo SeriesARM Cortex-M cores, Arduino compatibility, mbed OS support
Texas InstrumentsTMDX SeriesC2000 DSPs for power electronics, Code Composer Studio integration
NXP Semiconductorsi.MX RT SeriesARM Cortex-M7 based crossover processors, LCD interface support
XilinxZynq UltraScale+ MPSoCARM Cortex-A53 + FPGA fabric, AI acceleration with DPU

7. Selection Guidelines

Key considerations when choosing evaluation boards:

  • Match processor architecture to target application requirements (e.g., ARM for general-purpose, DSP for signal processing)
  • Verify peripheral compatibility with system design (number of timers, communication interfaces)
  • Assess expansion capabilities for future upgrades
  • Evaluate software toolchain maturity (IDE, compilers, RTOS support)
  • Consider power consumption specifications for end-application scenarios
  • Check available community resources and technical documentation

8. Industry Trend Analysis

Emerging trends shaping evaluation board development:

  • Increased integration of AI acceleration cores (e.g., Google Edge TPU integration)
  • Rise of RISC-V based evaluation platforms for customizable computing
  • Enhanced security features (trusted execution environments, hardware encryption)
  • Development of low-power wide-area network (LPWAN) enabled boards for IoT
  • Adoption of heterogeneous computing architectures (CPU+GPU+DSP+FPGA)
  • Cloud-connected evaluation platforms for remote testing and collaboration
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