Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
89KTPES6T6G2

89KTPES6T6G2

Renesas Electronics America

KIT SYSTEM DEV FOR PES6T6G2

0

82EBV2608

82EBV2608

Renesas Electronics America

BOARD EVAL FOR FOR 82V2608

0

89KTPES24NT3

89KTPES24NT3

Renesas Electronics America

KIT SYSTEM DEV FOR PES24NT3

0

P9234A-EVK

P9234A-EVK

Renesas Electronics America

EVALUATION FOR P9234A

0

89KTPES24T3G2

89KTPES24T3G2

Renesas Electronics America

KIT SYSTEM DEV FOR PES24T3G2

0

4-EVAL-53-00

4-EVAL-53-00

Renesas Electronics America

EVALUATION BOARD

0

82EBV2604

82EBV2604

Renesas Electronics America

BOARD EVAL FOR FOR 82V2604

0

89KTPES32H8

89KTPES32H8

Renesas Electronics America

KIT SYSTEM DEV FOR PES32H8

0

P9239-EVK

P9239-EVK

Renesas Electronics America

EVAL KIT P9239

0

82EBV2048

82EBV2048

Renesas Electronics America

BOARD EVAL FOR FOR 82V2048

0

4-EVAL-75-00

4-EVAL-75-00

Renesas Electronics America

EVALUATION BOARD

0

89KTPES24T6G2

89KTPES24T6G2

Renesas Electronics America

KIT SYSTEM DEV FOR PES24T6G2

0

89KTPES64H16

89KTPES64H16

Renesas Electronics America

KIT SYSTEM DEV FOR PES64H16

0

82EBP2816

82EBP2816

Renesas Electronics America

BOARD EVAL FOR 82P2816

0

IDT76BDLS12500INA

IDT76BDLS12500INA

Renesas Electronics America

BOARD EVALUATION

0

P9025AC-EVK

P9025AC-EVK

Renesas Electronics America

EVAL KIT FOR P9025

0

P9028-EVK

P9028-EVK

Renesas Electronics America

EVAL KIT FOR P9028

0

82EBV2084

82EBV2084

Renesas Electronics America

BOARD EVAL FOR FOR 82V2084

0

ZLED7000ZI1R

ZLED7000ZI1R

Renesas Electronics America

IC MODULE SENSOR

0

82EBV2616

82EBV2616

Renesas Electronics America

BOARD EVAL FOR FOR 82V2616

0

Evaluation and Demonstration Boards and Kits

Evaluation and Demonstration Boards and Kits are hardware platforms designed to facilitate the development, testing, and demonstration of electronic systems. They serve as critical tools for engineers and developers to prototype applications, validate designs, and accelerate time-to-market. These boards integrate processors, sensors, communication interfaces, and software ecosystems, enabling rapid experimentation across diverse industries such as IoT, automotive, and industrial automation.

TypeFunctional FeaturesApplication Examples
Microcontroller Development BoardsEmbedded CPUs, GPIOs, integrated peripheralsIoT devices, robotics
FPGA Evaluation BoardsReconfigurable logic, high-speed interfacesCommunication systems, AI accelerators
Sensor Expansion KitsMulti-sensor integration (temperature, motion, etc.)Smart agriculture, environmental monitoring
Wireless Communication ModulesBluetooth/Wi-Fi/LoRa protocols, antenna interfacesConnected healthcare, smart cities

Typical architecture includes: - Processing Units: Microcontrollers, FPGAs, or SoCs - Memory: RAM, Flash, EEPROM - Interfaces: USB, UART, SPI, I2C, Ethernet - Power Management: Regulators, battery connectors - Software Stack: SDKs, device drivers, IDEs Physical designs often feature standardized form factors (e.g., Arduino Uno, Raspberry Pi HATs) for modular expansion.

ParameterDescription
Processor Performance (MHz/GHz)Determines computational capability
Memory Capacity (RAM/Flash)Affects program complexity and data storage
Interface TypesDictates peripheral compatibility
Power Consumption (mW/MHz)Critical for battery-operated devices
Operating Temperature (-40 C to +85 C)Defines environmental durability

- Internet of Things (IoT): Smart home controllers, edge AI nodes - Automotive: ADAS sensor fusion platforms - Industrial Automation: PLC controllers, predictive maintenance systems - Consumer Electronics: Wearables, AR/VR prototypes

ManufacturerRepresentative Products
STMicroelectronicsSTM32 Nucleo Series, SensorTile Kit
IntelIntel Edison, Movidius Neural Compute Stick
XilinxZynq UltraScale+ MPSoC Evaluation Kit
ArduinoArduino MKR Series, Nano 33 IoT

Key considerations: 1. Match processor capabilities to application complexity 2. Verify interface compatibility with target peripherals 3. Assess software ecosystem maturity (e.g., ROS support) 4. Evaluate power budget requirements 5. Consider long-term availability and community support

- Growing adoption of RISC-V-based evaluation platforms - Integration of AI/ML accelerators in edge computing boards - Expansion of open-source hardware ecosystems - Increased focus on energy-efficient architectures for IoT - Standardization of form factors (e.g., SparkFun's Qwiic system)

RFQ BOM Call Skype Email
Top