Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
RTK7EKA4M2S00001BE

RTK7EKA4M2S00001BE

Renesas Electronics America

EVALUATION KIT FOR RA4M2 MCU GRO

50

RTK0EG0022S01001BJ

RTK0EG0022S01001BJ

Renesas Electronics America

RA2L1 TOUCH RSSK(CPU BOARD + ELE

49

RTK0EMX990C00000BJ

RTK0EMX990C00000BJ

Renesas Electronics America

RSSK RX72T CPU CARD

0

QB-R5F107DE-TB

QB-R5F107DE-TB

Renesas Electronics America

RL78/I1A EVAL BRD

0

QB-R5F10WMG-TB

QB-R5F10WMG-TB

Renesas Electronics America

RL78/L13 EVAL BRD

0

QB-78K0RIE3-TB

QB-78K0RIE3-TB

Renesas Electronics America

UPD78F1235/78K0R/IE3 EVAL BRD

0

QB-R5F10BMG-TB

QB-R5F10BMG-TB

Renesas Electronics America

RL78/F13 EVAL BRD

0

Y-ASK-RH850F1KM-S1-V3

Y-ASK-RH850F1KM-S1-V3

Renesas Electronics America

3.K FOR RH850/F1KM-S1 (INCL E1 D

0

YRPBRX71M

YRPBRX71M

Renesas Electronics America

RX71M EVAL BRD

0

RTK7EKA6M5S00001BE

RTK7EKA6M5S00001BE

Renesas Electronics America

EVALUATION KIT FOR RA6M5

0

YCONNECT-IT-I-RJ4501

YCONNECT-IT-I-RJ4501

Renesas Electronics America

RENESAS R-IN32M3 MODULE SOLUTION

19

RTK0EML130C06000BJ

RTK0EML130C06000BJ

Renesas Electronics America

RL78/G14 CPU CARD FOR MOTOR CONT

0

QB-78K0IB2-TB

QB-78K0IB2-TB

Renesas Electronics America

UPD78F0756/78K0/IB2 EVAL BRD

0

YR0K5563THS000BE

YR0K5563THS000BE

Renesas Electronics America

RX63T EVAL BRD

0

Y-ASK-RH850F1KH-D8-V3

Y-ASK-RH850F1KH-D8-V3

Renesas Electronics America

RH850/F1KH-D8-ABU STARTER KIT IN

0

YR8A77430HA02BG

YR8A77430HA02BG

Renesas Electronics America

RZ/G1M EVAL BRD

0

RTE510Y470TGB00000R

RTE510Y470TGB00000R

Renesas Electronics America

RL78/G10 EVAL BRD

1

RTK5RLG1M0C00000BJ

RTK5RLG1M0C00000BJ

Renesas Electronics America

RL78/G1M FAST PROTOTYPING BOARD

50

R0K5RX231D000BR

R0K5RX231D000BR

Renesas Electronics America

RX231 HMI SOLUTION KIT

0

RTK5RX72N0C00000BJ

RTK5RX72N0C00000BJ

Renesas Electronics America

RX72N ENVISION KIT

9

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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