Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
NT-NUC029KG

NT-NUC029KG

Nuvoton Technology Corporation America

NUC029KGE EVAL BRD

14

NT-NUC140V

NT-NUC140V

Nuvoton Technology Corporation America

NUC130/NUC140 EVAL BRD

20

NK-IOTM487

NK-IOTM487

Nuvoton Technology Corporation America

HE NUMAKER-IOT-M487 IS A DEVELOP

6

NK-N9H20

NK-N9H20

Nuvoton Technology Corporation America

THE EMWIN HMI EVALUATION BOARD (

20

NT-NUC220V

NT-NUC220V

Nuvoton Technology Corporation America

NUC220 EVAL BRD

0

RDK-N9H30

RDK-N9H30

Nuvoton Technology Corporation America

THE EMWIN HMI REFERENCE DESIGN E

5

NT-ML51EB

NT-ML51EB

Nuvoton Technology Corporation America

8051 ML51EB EVAL BRD

4

NT-MS51FB

NT-MS51FB

Nuvoton Technology Corporation America

8051 MS51FB EVAL BRD

12

NK-BEDM2351

NK-BEDM2351

Nuvoton Technology Corporation America

THE NUMAKER-PFM-M2351 IS A DEVEL

11

NT-NUC123S

NT-NUC123S

Nuvoton Technology Corporation America

NUC123 EVAL BRD

5

NUTINY-SDK-NUC120

NUTINY-SDK-NUC120

Nuvoton Technology Corporation America

NUC120 EVAL BRD

0

NT-NANO130K

NT-NANO130K

Nuvoton Technology Corporation America

NANO110/NANO130 EVAL BRD

5

NT-NANO100K

NT-NANO100K

Nuvoton Technology Corporation America

NANO100 EVAL BRD

0

NT-NUC029SE

NT-NUC029SE

Nuvoton Technology Corporation America

AN EVALUATION/DEVELOPMENT KIT

10

NUMICRO-SDK

NUMICRO-SDK

Nuvoton Technology Corporation America

NUC100/NUC120/NUC130/NUC140 BRD

6

NT-M051L

NT-M051L

Nuvoton Technology Corporation America

M0516LAN EVAL BRD

2

NT-NUC200V

NT-NUC200V

Nuvoton Technology Corporation America

NUC200 EVAL BRD

0

NL-NUC140V

NL-NUC140V

Nuvoton Technology Corporation America

NUC100/NUC120/NUC130/NUC140 BRD

0

NT-NUC122S

NT-NUC122S

Nuvoton Technology Corporation America

NUC122 EVAL BRD

1

NL-NANO130K

NL-NANO130K

Nuvoton Technology Corporation America

NANO130 EVAL BRD

3

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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