Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
FS-9053

FS-9053

Digi

KIT DEV NS9750 NET+OS

0

101-1088

101-1088

Digi

RCM3365 EVAL BRD

0

101-1069

101-1069

Digi

RCM3305 EVAL BRD

0

101-1050

101-1050

Digi

RCM3750 EVAL BRD

0

101-0678

101-0678

Digi

RCM3600 EVAL BRD

0

101-1016

101-1016

Digi

POWERCORE FLEX RCM3800 EVAL BRD

0

101-0953

101-0953

Digi

RCM3360 EVAL BRD

0

CC-9C-CE6

CC-9C-CE6

Digi

JUMPSTART NS9360 EVAL BRD

0

FS-9022

FS-9022

Digi

CONNECTCORE 7U MODULE EVAL BRD

0

NSDEV9750-GC63

NSDEV9750-GC63

Digi

NS9750 EVAL BRD

0

FS-9090

FS-9090

Digi

DIGI CONNECTCORE XP MOD EVAL BRD

0

NSDEV9360-GP63

NSDEV9360-GP63

Digi

NS9360 EVAL BRD

0

101-0360

101-0360

Digi

RCM2000/RCM2010/RCM2020 EVAL BRD

0

NSDEV9750P-GC63

NSDEV9750P-GC63

Digi

NS9750 EVAL BRD

0

101-0472

101-0472

Digi

BL2000/BL2010/BL2020/BL2030 BRD

0

NSMULTI9750-SL63

NSMULTI9750-SL63

Digi

NS9750 EVAL BRD

0

NSMULTI9360-SL63

NSMULTI9360-SL63

Digi

NS9360 EVAL BRD

0

101-0681

101-0681

Digi

RCM3700 EVAL BRD

0

NSDB9750P-T63

NSDB9750P-T63

Digi

NS9750 EVAL BRD

0

20-101-0676

20-101-0676

Digi

RCM3600 EVAL BRD

0

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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