Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
P9030B-EVK

P9030B-EVK

Renesas Electronics America

IC WIRELESS

0

EVK5L2503

EVK5L2503

Renesas Electronics America

MICROCLOCK 5X2503 DEVELOPMENT KI

0

P9015-EVK

P9015-EVK

Renesas Electronics America

EVAL KIT FOR P9015

0

IDT76KITS01200INA

IDT76KITS01200INA

Renesas Electronics America

KIT IDT76KITS01200INA

0

89KTPES8T5A

89KTPES8T5A

Renesas Electronics America

KIT SYSTEM DEV FOR PES8T5A

0

P9722-EVK

P9722-EVK

Renesas Electronics America

IC WIRELESS

0

IDT76KITS11200VIA

IDT76KITS11200VIA

Renesas Electronics America

KIT IDT76KITS11200VIA

0

D33037MD7EV

D33037MD7EV

Renesas Electronics America

EVAL BOARD D33037

0

P9024A-EVK

P9024A-EVK

Renesas Electronics America

EVAL KIT FOR P9024

0

P9036B-EVK

P9036B-EVK

Renesas Electronics America

KIT EVALUATION P9036B

0

EVK5X2503SOCK

EVK5X2503SOCK

Renesas Electronics America

MICROCLOCK 5X2503 DAUGHTER BOARD

0

82EBP2284

82EBP2284

Renesas Electronics America

BOARD EVAL FOR 82P2284

0

ZMDILABEVABDV2P0B1

ZMDILABEVABDV2P0B1

Renesas Electronics America

ZMDI LAB EVALUATION BOARD V2.0 -

0

89KTPES8NT2

89KTPES8NT2

Renesas Electronics America

KIT SYSTEM DEV FOR PES8NT2

0

P9220-EVK

P9220-EVK

Renesas Electronics America

EVAL KIT POWER RECEIVER

0

5P49V6965-EVKAC

5P49V6965-EVKAC

Renesas Electronics America

MULTIMKT-TIMING

0

89KTPES22H16

89KTPES22H16

Renesas Electronics America

KIT SYSTEM DEV FOR PES22H16

0

YET-D720210-0004

YET-D720210-0004

Renesas Electronics America

KIT DEMO USB3.0 HUB CTLR

0

P9240A-EVK

P9240A-EVK

Renesas Electronics America

EVALUATION P9240A

0

P9221-EVK

P9221-EVK

Renesas Electronics America

EVAL KIT POWER RECEIVER

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)

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