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Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
MAX32620-EVKIT#

MAX32620-EVKIT#

Maxim Integrated

MAX32620/MAX32621 EVAL BRD

18
MAX32520FTHR#

MAX32520FTHR#

Maxim Integrated

MAX32520 FEATHER BRD

8258
MAX32650-EVKIT#

MAX32650-EVKIT#

Maxim Integrated

MAX32650 EVAL BRD

2237
MAX32625MBED#

MAX32625MBED#

Maxim Integrated

MAX32625 EVAL BRD

1559
MAX32625-EVKIT#

MAX32625-EVKIT#

Maxim Integrated

MAX32625 EVAL BRD

123
MAX31782EVKIT#

MAX31782EVKIT#

Maxim Integrated

MAX31782 EVAL BRD

2
MAXQ610-KIT#

MAXQ610-KIT#

Maxim Integrated

MAXQ610 EVAL BRD

4
MAX28200WEVKIT#

MAX28200WEVKIT#

Maxim Integrated

MAX28200 EVAL BRD

81
MAX32631-EVKIT#

MAX32631-EVKIT#

Maxim Integrated

MAX32631 EVAL BRD

46
MAX78000FTHR#

MAX78000FTHR#

Maxim Integrated

MAX78000 FEATHER BOARD

741
MAX32670EVKIT#

MAX32670EVKIT#

Maxim Integrated

MAX32670 EVALUATION BOARD

10124
MAX32621-EVKIT#

MAX32621-EVKIT#

Maxim Integrated

MAX32621 EVAL BRD

22
MAX32630FTHR#

MAX32630FTHR#

Maxim Integrated

PEGASUS MAX14690/MAX32630 DEV

116485
MAX32625PICO#

MAX32625PICO#

Maxim Integrated

MAX32625 EVAL BRD

5874
MAX32620FTHR#

MAX32620FTHR#

Maxim Integrated

MAX32620 DEV EVAL BRD

3765
MAX78000EVKIT#

MAX78000EVKIT#

Maxim Integrated

MAX78000 EVALUATION BOARD

1982
MAX32666FTHR#

MAX32666FTHR#

Maxim Integrated

BLE MAX32666 FEATHER FORM FACTOR

23117
MAX32666EVKIT#

MAX32666EVKIT#

Maxim Integrated

MAX32666 EVAL BRD

739
MAXQ622-KIT#

MAXQ622-KIT#

Maxim Integrated

MAXQ622 EVAL BRD

1
MAX32660-EVSYS#

MAX32660-EVSYS#

Maxim Integrated

MAX32660 EVAL BRD

11319

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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