Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
YSTBS3A1E10

YSTBS3A1E10

Renesas Electronics America

SYNERGY S3A1 EVAL BRD

2

NUCLEO-G070RB

NUCLEO-G070RB

STMicroelectronics

NUCLEO-64 STM32G070 EVAL BRD

184

STR91X-SK/IAR

STR91X-SK/IAR

STMicroelectronics

IAR KICKSTART STR91XF EVAL BRD

0

MCBSTM32U

MCBSTM32U

Keil (ARM)

STM32 F1 EVAL BRD

0

DFR0546

DFR0546

DFRobot

LATTEPANDA ALPHA 864S NOWIN10

95

ATSAMD21E16LMOTOR

ATSAMD21E16LMOTOR

Roving Networks / Microchip Technology

ATSAMD21E16L EVAL BRD

11

STM8L101-EVAL

STM8L101-EVAL

STMicroelectronics

STM8L101 EVAL BRD

1

53310-703

53310-703

Custom Computer Services

DSPIC30F4012 EVAL BRD

0

RTK5RX65N0S01000BE

RTK5RX65N0S01000BE

Renesas Electronics America

RX65N CLOUD KIT (FOR US)

23

YR0K5010WMS000BE

YR0K5010WMS000BE

Renesas Electronics America

RL78/L13 EVAL BRD

0

S08PB16-EVK

S08PB16-EVK

NXP Semiconductors

S08PLS EVAL KIT

25

SPC58XXADPT144S

SPC58XXADPT144S

STMicroelectronics

SPC58XB/C EVAL BRD

2

ADZS-BF526-EZLITE

ADZS-BF526-EZLITE

Analog Devices, Inc.

EZ-KIT LITE ADSP-BF526 EVAL BRD

0

EKK-LM4F232

EKK-LM4F232

Texas Instruments

LM4F232 EVAL BRD

6

KITXMC12BOOT001TOBO1

KITXMC12BOOT001TOBO1

IR (Infineon Technologies)

BOOT KIT XMC1200 EVAL BRD

3

DFR0343

DFR0343

DFRobot

UHEX ATMEGA328P EVAL BRD

0

DM182027

DM182027

Roving Networks / Microchip Technology

MPLAB XPRESS PIC18F47K40 EVAL BD

3

NERO-LP1

NERO-LP1

Bridgetek

NERO ARDUINO UNO W/ LONG PINS

13

STM32F7508-DK

STM32F7508-DK

STMicroelectronics

DISCOVERY KIT WITH STM32F750N8 M

199

S08PT60-EVK

S08PT60-EVK

NXP Semiconductors

EVALUATION BOARD S08PT60

13

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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