Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
LS1088ARDB-PB

LS1088ARDB-PB

NXP Semiconductors

LS1088A EVAL BRD

5

KITAURIXTC275ARDSBTOBO1

KITAURIXTC275ARDSBTOBO1

IR (Infineon Technologies)

SHIELDBUDDYTC275-AURIX

45

MSP-EXP430FR4133

MSP-EXP430FR4133

Texas Instruments

LAUNCHPAD MSP430FR4133 EVAL BRD

56

C8051F530ADK

C8051F530ADK

Silicon Labs

C8051F52XA/C8051F53XA EVAL BRD

1

CY8CKIT-001

CY8CKIT-001

Cypress Semiconductor

PSOC 1/PSOC 3/PSOC 5 EVAL BRD

0

MIKROE-580

MIKROE-580

MikroElektronika

MIKROXMEGA ATXMEGA128A1 EVAL BRD

1

TMDSEZD2407

TMDSEZD2407

Texas Instruments

EZDSP TMS320LF2407 EVAL BRD

4

STM32H753I-EVAL2

STM32H753I-EVAL2

STMicroelectronics

STM32H753XIH6 EVAL BRD

0

SPC56EL70L5DISP

SPC56EL70L5DISP

STMicroelectronics

DISCOVERY SPC56EL EVAL BRD

6

NUCLEO-G0B1RE

NUCLEO-G0B1RE

STMicroelectronics

STM32 NUCLEO-64 DEVELOPMENT BOAR

0

MIKROE-2788

MIKROE-2788

MikroElektronika

CLICKER PIC32MZ EVAL BRD

1

MA5D4EVK-20A0A051E

MA5D4EVK-20A0A051E

ARIES Embedded

EVALUATIONKIT SAMA5D42

8

NUCLEO-L031K6

NUCLEO-L031K6

STMicroelectronics

NUCLEO-32 STM32L031K6 EVAL BRD

16

TWR-K21D50M

TWR-K21D50M

NXP Semiconductors

TOWER SYSTEM K21 EVAL BRD

1

53305-698

53305-698

Custom Computer Services

PIC18F67J10 EVAL BRD

0

IMX233-OLINUXINO-MINI-WIFI

IMX233-OLINUXINO-MINI-WIFI

Olimex

OLINUXINO I.MX233 EVAL BRD

0

SAM3-H256

SAM3-H256

Olimex

ATSAM3S4BA-AU EVAL BRD

0

STM32-H407

STM32-H407

Olimex

STM32F407ZGT6 EVAL BRD

6

TMDXEVM1810

TMDXEVM1810

Texas Instruments

AM1810 EVAL BRD

3

MSP432E411Y-BGAEVM

MSP432E411Y-BGAEVM

Texas Instruments

MSP432E411Y EVAL BRD

6

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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